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0ba2f99
Automated Leaderboard Update
Browse files- all_data_tasks/0/default.jsonl +30 -30
- all_data_tasks/1/default.jsonl +20 -20
- all_data_tasks/10/default.jsonl +4 -4
- all_data_tasks/11/default.jsonl +6 -6
- all_data_tasks/12/default.jsonl +4 -4
- all_data_tasks/13/default.jsonl +4 -4
- all_data_tasks/18/default.jsonl +2 -2
- all_data_tasks/19/default.jsonl +4 -4
- all_data_tasks/2/default.jsonl +26 -26
- all_data_tasks/20/default.jsonl +2 -2
- all_data_tasks/22/default.jsonl +7 -7
- all_data_tasks/25/default.jsonl +3 -3
- all_data_tasks/3/default.jsonl +19 -19
- all_data_tasks/33/default.jsonl +2 -2
- all_data_tasks/4/default.jsonl +6 -6
- all_data_tasks/5/default.jsonl +22 -22
- all_data_tasks/6/default.jsonl +66 -67
- all_data_tasks/9/default.jsonl +4 -4
- boards_data/de/data_tasks/Clustering/default.jsonl +3 -3
- boards_data/en/data_overall/default.jsonl +4 -4
- boards_data/en/data_tasks/Classification/default.jsonl +30 -30
- boards_data/en/data_tasks/Clustering/default.jsonl +20 -20
- boards_data/en/data_tasks/PairClassification/default.jsonl +26 -26
- boards_data/en/data_tasks/Reranking/default.jsonl +19 -19
- boards_data/en/data_tasks/Retrieval/default.jsonl +6 -6
- boards_data/en/data_tasks/STS/default.jsonl +22 -22
- boards_data/en/data_tasks/Summarization/default.jsonl +66 -67
- boards_data/fr/data_tasks/PairClassification/default.jsonl +2 -2
- boards_data/fr/data_tasks/Reranking/default.jsonl +4 -4
- boards_data/fr/data_tasks/Retrieval/default.jsonl +2 -2
- boards_data/fr/data_tasks/Summarization/default.jsonl +7 -7
- boards_data/ru/data_tasks/PairClassification/default.jsonl +2 -2
- boards_data/zh/data_tasks/Clustering/default.jsonl +4 -4
- boards_data/zh/data_tasks/PairClassification/default.jsonl +4 -4
- boards_data/zh/data_tasks/Reranking/default.jsonl +6 -6
- boards_data/zh/data_tasks/Retrieval/default.jsonl +4 -4
- boards_data/zh/data_tasks/STS/default.jsonl +4 -4
all_data_tasks/0/default.jsonl
CHANGED
@@ -29,22 +29,22 @@
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{"index":
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{"index":
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{"index":
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{"index":
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{"index":
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{"index":67,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":75.92,"AmazonCounterfactualClassification (en)":79.94,"AmazonPolarityClassification":86.07,"AmazonReviewsClassification (en)":46.84,"Banking77Classification":88.05,"EmotionClassification":51.2,"ImdbClassification":82.94,"MassiveIntentClassification (en)":79.8,"MassiveScenarioClassification (en)":81.52,"MTOPDomainClassification (en)":96.14,"MTOPIntentClassification (en)":86.11,"ToxicConversationsClassification":70.59,"TweetSentimentExtractionClassification":61.9}
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{"index":
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{"index":
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{"index":114,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":75.58,"AmazonCounterfactualClassification (en)":75.55,"AmazonPolarityClassification":92.84,"AmazonReviewsClassification (en)":48.29,"Banking77Classification":87.69,"EmotionClassification":51.75,"ImdbClassification":92.78,"MassiveIntentClassification (en)":76.5,"MassiveScenarioClassification (en)":79.75,"MTOPDomainClassification (en)":94.02,"MTOPIntentClassification (en)":76.92,"ToxicConversationsClassification":71.09,"TweetSentimentExtractionClassification":59.75}
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{"index":
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{"index":163,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":75.28,"AmazonCounterfactualClassification (en)":77.19,"AmazonPolarityClassification":93.26,"AmazonReviewsClassification (en)":49.61,"Banking77Classification":84.73,"EmotionClassification":54.47,"ImdbClassification":91.31,"MassiveIntentClassification (en)":73.88,"MassiveScenarioClassification (en)":78.28,"MTOPDomainClassification (en)":93.5,"MTOPIntentClassification (en)":71.06,"ToxicConversationsClassification":72.99,"TweetSentimentExtractionClassification":63.07}
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{"index":
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{"index":271,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":75.16,"AmazonCounterfactualClassification (en)":75.18,"AmazonPolarityClassification":93.07,"AmazonReviewsClassification (en)":48.42,"Banking77Classification":88.03,"EmotionClassification":51.93,"ImdbClassification":91.91,"MassiveIntentClassification (en)":75.91,"MassiveScenarioClassification (en)":79.43,"MTOPDomainClassification (en)":94.33,"MTOPIntentClassification (en)":76.61,"ToxicConversationsClassification":67.91,"TweetSentimentExtractionClassification":59.22}
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{"index":204,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.98,"AmazonCounterfactualClassification (en)":76.16,"AmazonPolarityClassification":92.95,"AmazonReviewsClassification (en)":48.21,"Banking77Classification":86.35,"EmotionClassification":51.27,"ImdbClassification":89.72,"MassiveIntentClassification (en)":75.16,"MassiveScenarioClassification (en)":78.93,"MTOPDomainClassification (en)":93.95,"MTOPIntentClassification (en)":75.26,"ToxicConversationsClassification":72.12,"TweetSentimentExtractionClassification":59.67}
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{"index":54,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/multilingual-e5-large-GGUF\">multilingual-e5-large-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.81,"AmazonCounterfactualClassification (en)":79.06,"AmazonPolarityClassification":93.49,"AmazonReviewsClassification (en)":47.56,"Banking77Classification":84.73,"EmotionClassification":46.5,"ImdbClassification":90.23,"MassiveIntentClassification (en)":73.76,"MassiveScenarioClassification (en)":77.51,"MTOPDomainClassification (en)":93.67,"MTOPIntentClassification (en)":77.9,"ToxicConversationsClassification":71.32,"TweetSentimentExtractionClassification":61.98}
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{"index":
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{"index":211,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":73.65,"AmazonCounterfactualClassification (en)":78.67,"AmazonPolarityClassification":90.41,"AmazonReviewsClassification (en)":47.81,"Banking77Classification":83.82,"EmotionClassification":48.81,"ImdbClassification":83.78,"MassiveIntentClassification (en)":72.76,"MassiveScenarioClassification (en)":76.7,"MTOPDomainClassification (en)":93.47,"MTOPIntentClassification (en)":75.27,"ToxicConversationsClassification":71.39,"TweetSentimentExtractionClassification":60.87}
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{"index":
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{"index":208,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.52,"AmazonCounterfactualClassification (en)":74.19,"AmazonPolarityClassification":91.89,"AmazonReviewsClassification (en)":46.72,"Banking77Classification":85.1,"EmotionClassification":46.84,"ImdbClassification":89.35,"MassiveIntentClassification (en)":74.01,"MassiveScenarioClassification (en)":77.96,"MTOPDomainClassification (en)":92.67,"MTOPIntentClassification (en)":74.03,"ToxicConversationsClassification":69.5,"TweetSentimentExtractionClassification":60.02}
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{"index":
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{"index":274,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.45,"AmazonCounterfactualClassification (en)":74.73,"AmazonPolarityClassification":88.54,"AmazonReviewsClassification (en)":45.26,"Banking77Classification":84.01,"EmotionClassification":48.77,"ImdbClassification":79.44,"MassiveIntentClassification (en)":71.93,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":95.68,"MTOPIntentClassification (en)":83.15,"ToxicConversationsClassification":73.35,"TweetSentimentExtractionClassification":62.06}
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{"index":256,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.42,"AmazonCounterfactualClassification (en)":77.07,"AmazonPolarityClassification":92.79,"AmazonReviewsClassification (en)":48.93,"Banking77Classification":82.31,"EmotionClassification":48.57,"ImdbClassification":90.23,"MassiveIntentClassification (en)":73.44,"MassiveScenarioClassification (en)":74.82,"MTOPDomainClassification (en)":92.49,"MTOPIntentClassification (en)":68.33,"ToxicConversationsClassification":70.04,"TweetSentimentExtractionClassification":62.01}
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{"index":264,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":73.33,"AmazonCounterfactualClassification (en)":72.63,"AmazonPolarityClassification":92.52,"AmazonReviewsClassification (en)":49.07,"Banking77Classification":86.06,"EmotionClassification":47.88,"ImdbClassification":88.46,"MassiveIntentClassification (en)":72.62,"MassiveScenarioClassification (en)":76.77,"MTOPDomainClassification (en)":93.51,"MTOPIntentClassification (en)":73.25,"ToxicConversationsClassification":70.56,"TweetSentimentExtractionClassification":56.58}
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{"index":134,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/biswa921\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":73.13,"AmazonCounterfactualClassification (en)":75.63,"AmazonPolarityClassification":91.01,"AmazonReviewsClassification (en)":46.99,"Banking77Classification":81.93,"EmotionClassification":50.16,"ImdbClassification":87.84,"MassiveIntentClassification (en)":71.08,"MassiveScenarioClassification (en)":76.64,"MTOPDomainClassification (en)":93.36,"MTOPIntentClassification (en)":66.58,"ToxicConversationsClassification":72.6,"TweetSentimentExtractionClassification":63.71}
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{"index":162,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.12,"AmazonCounterfactualClassification (en)":85.09,"AmazonPolarityClassification":86.54,"AmazonReviewsClassification (en)":42.96,"Banking77Classification":82.66,"EmotionClassification":53.24,"ImdbClassification":79.79,"MassiveIntentClassification (en)":71.48,"MassiveScenarioClassification (en)":76.47,"MTOPDomainClassification (en)":95.07,"MTOPIntentClassification (en)":72.26,"ToxicConversationsClassification":70.33,"TweetSentimentExtractionClassification":61.58}
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{"index":263,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.01,"AmazonCounterfactualClassification (en)":74.18,"AmazonPolarityClassification":91.77,"AmazonReviewsClassification (en)":48.96,"Banking77Classification":85.07,"EmotionClassification":48.65,"ImdbClassification":85.95,"MassiveIntentClassification (en)":71.47,"MassiveScenarioClassification (en)":76.38,"MTOPDomainClassification (en)":93.03,"MTOPIntentClassification (en)":72.04,"ToxicConversationsClassification":71.61,"TweetSentimentExtractionClassification":57.01}
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{"index":
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{"index":
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{"index":170,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":72.94,"AmazonCounterfactualClassification (en)":77.6,"AmazonPolarityClassification":91.27,"AmazonReviewsClassification (en)":45.88,"Banking77Classification":81.64,"EmotionClassification":47.06,"ImdbClassification":86.0,"MassiveIntentClassification (en)":71.62,"MassiveScenarioClassification (en)":76.36,"MTOPDomainClassification (en)":92.7,"MTOPIntentClassification (en)":72.56,"ToxicConversationsClassification":71.1,"TweetSentimentExtractionClassification":61.46}
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{"index":255,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":72.84,"AmazonCounterfactualClassification (en)":76.01,"AmazonPolarityClassification":93.17,"AmazonReviewsClassification (en)":48.18,"Banking77Classification":80.88,"EmotionClassification":51.95,"ImdbClassification":87.54,"MassiveIntentClassification (en)":72.09,"MassiveScenarioClassification (en)":73.26,"MTOPDomainClassification (en)":90.73,"MTOPIntentClassification (en)":68.15,"ToxicConversationsClassification":70.95,"TweetSentimentExtractionClassification":61.21}
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{"index":127,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":72.72,"AmazonCounterfactualClassification (en)":72.9,"AmazonPolarityClassification":87.19,"AmazonReviewsClassification (en)":42.56,"Banking77Classification":84.24,"EmotionClassification":52.06,"ImdbClassification":78.54,"MassiveIntentClassification (en)":73.18,"MassiveScenarioClassification (en)":76.68,"MTOPDomainClassification (en)":94.78,"MTOPIntentClassification (en)":77.72,"ToxicConversationsClassification":72.9,"TweetSentimentExtractionClassification":59.85}
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{"index":171,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":69.76,"AmazonCounterfactualClassification (en)":77.36,"AmazonPolarityClassification":91.76,"AmazonReviewsClassification (en)":47.54,"Banking77Classification":73.53,"EmotionClassification":45.68,"ImdbClassification":84.29,"MassiveIntentClassification (en)":65.71,"MassiveScenarioClassification (en)":71.57,"MTOPDomainClassification (en)":90.9,"MTOPIntentClassification (en)":61.6,"ToxicConversationsClassification":64.33,"TweetSentimentExtractionClassification":62.8}
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{"index":213,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"Average":69.7,"AmazonCounterfactualClassification (en)":69.78,"AmazonPolarityClassification":88.74,"AmazonReviewsClassification (en)":43.11,"Banking77Classification":82.78,"EmotionClassification":42.92,"ImdbClassification":80.87,"MassiveIntentClassification (en)":69.34,"MassiveScenarioClassification (en)":74.21,"MTOPDomainClassification (en)":89.61,"MTOPIntentClassification (en)":68.9,"ToxicConversationsClassification":68.16,"TweetSentimentExtractionClassification":57.99}
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{"index":190,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.65,"AmazonCounterfactualClassification (en)":70.12,"AmazonPolarityClassification":92.95,"AmazonReviewsClassification (en)":50.52,"Banking77Classification":75.59,"EmotionClassification":45.98,"ImdbClassification":90.22,"MassiveIntentClassification (en)":65.03,"MassiveScenarioClassification (en)":71.05,"MTOPDomainClassification (en)":88.63,"MTOPIntentClassification (en)":58.08,"ToxicConversationsClassification":69.33,"TweetSentimentExtractionClassification":58.25}
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{"index":
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120 |
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{"index":
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{"index":188,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":68.82,"AmazonCounterfactualClassification (en)":71.36,"AmazonPolarityClassification":82.9,"AmazonReviewsClassification (en)":40.89,"Banking77Classification":78.25,"EmotionClassification":44.01,"ImdbClassification":73.64,"MassiveIntentClassification (en)":67.61,"MassiveScenarioClassification (en)":69.75,"MTOPDomainClassification (en)":93.96,"MTOPIntentClassification (en)":72.5,"ToxicConversationsClassification":71.54,"TweetSentimentExtractionClassification":59.4}
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{"index":108,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":68.79,"AmazonCounterfactualClassification (en)":68.3,"AmazonPolarityClassification":90.31,"AmazonReviewsClassification (en)":46.27,"Banking77Classification":80.01,"EmotionClassification":43.67,"ImdbClassification":84.36,"MassiveIntentClassification (en)":66.69,"MassiveScenarioClassification (en)":73.06,"MTOPDomainClassification (en)":91.36,"MTOPIntentClassification (en)":60.64,"ToxicConversationsClassification":66.84,"TweetSentimentExtractionClassification":53.91}
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{"index":209,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":68.55,"AmazonCounterfactualClassification (en)":70.72,"AmazonPolarityClassification":83.34,"AmazonReviewsClassification (en)":40.99,"Banking77Classification":81.25,"EmotionClassification":41.66,"ImdbClassification":74.81,"MassiveIntentClassification (en)":69.8,"MassiveScenarioClassification (en)":74.54,"MTOPDomainClassification (en)":91.22,"MTOPIntentClassification (en)":69.39,"ToxicConversationsClassification":67.44,"TweetSentimentExtractionClassification":57.48}
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@@ -126,18 +126,18 @@
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|
126 |
{"index":81,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Embedding Dimensions":384,"Max Tokens":512,"Average":68.13,"AmazonCounterfactualClassification (en)":71.84,"AmazonPolarityClassification":80.04,"AmazonReviewsClassification (en)":39.75,"Banking77Classification":80.92,"EmotionClassification":44.88,"ImdbClassification":71.96,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":74.16,"MTOPDomainClassification (en)":90.87,"MTOPIntentClassification (en)":68.53,"ToxicConversationsClassification":66.04,"TweetSentimentExtractionClassification":59.43}
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{"index":179,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":68.04,"AmazonCounterfactualClassification (en)":72.36,"AmazonPolarityClassification":83.81,"AmazonReviewsClassification (en)":38.97,"Banking77Classification":80.97,"EmotionClassification":44.77,"ImdbClassification":72.21,"MassiveIntentClassification (en)":66.09,"MassiveScenarioClassification (en)":73.26,"MTOPDomainClassification (en)":89.93,"MTOPIntentClassification (en)":66.56,"ToxicConversationsClassification":67.96,"TweetSentimentExtractionClassification":59.6}
|
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{"index":112,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":68.04,"AmazonCounterfactualClassification (en)":67.76,"AmazonPolarityClassification":79.75,"AmazonReviewsClassification (en)":37.45,"Banking77Classification":81.17,"EmotionClassification":44.53,"ImdbClassification":76.46,"MassiveIntentClassification (en)":68.58,"MassiveScenarioClassification (en)":73.92,"MTOPDomainClassification (en)":90.67,"MTOPIntentClassification (en)":68.29,"ToxicConversationsClassification":70.23,"TweetSentimentExtractionClassification":57.64}
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{"index":
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{"index":
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-
{"index":
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{"index":
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{"index":
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{"index":252,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":67.9,"AmazonCounterfactualClassification (en)":75.81,"AmazonPolarityClassification":76.41,"AmazonReviewsClassification (en)":38.51,"Banking77Classification":81.07,"EmotionClassification":45.83,"ImdbClassification":64.57,"MassiveIntentClassification (en)":69.32,"MassiveScenarioClassification (en)":75.35,"MTOPDomainClassification (en)":89.24,"MTOPIntentClassification (en)":68.69,"ToxicConversationsClassification":71.02,"TweetSentimentExtractionClassification":59.03}
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{"index":268,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.9,"AmazonCounterfactualClassification (en)":76.19,"AmazonPolarityClassification":69.63,"AmazonReviewsClassification (en)":35.53,"Banking77Classification":78.13,"EmotionClassification":45.48,"ImdbClassification":64.06,"MassiveIntentClassification (en)":71.69,"MassiveScenarioClassification (en)":77.2,"MTOPDomainClassification (en)":92.94,"MTOPIntentClassification (en)":74.43,"ToxicConversationsClassification":70.17,"TweetSentimentExtractionClassification":59.31}
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136 |
{"index":73,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.9,"AmazonCounterfactualClassification (en)":71.87,"AmazonPolarityClassification":78.79,"AmazonReviewsClassification (en)":39.31,"Banking77Classification":80.58,"EmotionClassification":44.79,"ImdbClassification":71.53,"MassiveIntentClassification (en)":68.84,"MassiveScenarioClassification (en)":73.75,"MTOPDomainClassification (en)":90.79,"MTOPIntentClassification (en)":68.72,"ToxicConversationsClassification":66.29,"TweetSentimentExtractionClassification":59.49}
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{"index":125,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":384,"Max Tokens":4096,"Average":67.8,"AmazonCounterfactualClassification (en)":68.75,"AmazonPolarityClassification":81.3,"AmazonReviewsClassification (en)":38.57,"Banking77Classification":79.98,"EmotionClassification":40.09,"ImdbClassification":80.09,"MassiveIntentClassification (en)":67.58,"MassiveScenarioClassification (en)":73.47,"MTOPDomainClassification (en)":90.36,"MTOPIntentClassification (en)":66.45,"ToxicConversationsClassification":69.34,"TweetSentimentExtractionClassification":57.6}
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{"index":76,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Venusaur\">Venusaur<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.77,"AmazonCounterfactualClassification (en)":73.18,"AmazonPolarityClassification":79.99,"AmazonReviewsClassification (en)":39.66,"Banking77Classification":77.95,"EmotionClassification":44.38,"ImdbClassification":73.02,"MassiveIntentClassification (en)":67.75,"MassiveScenarioClassification (en)":72.36,"MTOPDomainClassification (en)":89.87,"MTOPIntentClassification (en)":71.03,"ToxicConversationsClassification":64.41,"TweetSentimentExtractionClassification":59.66}
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{"index":59,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.77,"AmazonCounterfactualClassification (en)":74.28,"AmazonPolarityClassification":82.2,"AmazonReviewsClassification (en)":40.22,"Banking77Classification":80.31,"EmotionClassification":40.81,"ImdbClassification":73.7,"MassiveIntentClassification (en)":68.86,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":89.73,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":62.52,"TweetSentimentExtractionClassification":59.6}
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140 |
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{"index":183,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":
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141 |
{"index":72,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":67.67,"AmazonCounterfactualClassification (en)":72.93,"AmazonPolarityClassification":74.28,"AmazonReviewsClassification (en)":36.14,"Banking77Classification":79.0,"EmotionClassification":42.85,"ImdbClassification":71.92,"MassiveIntentClassification (en)":69.99,"MassiveScenarioClassification (en)":75.15,"MTOPDomainClassification (en)":91.24,"MTOPIntentClassification (en)":74.08,"ToxicConversationsClassification":68.4,"TweetSentimentExtractionClassification":56.08}
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142 |
{"index":79,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v2\">gte-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.47,"AmazonCounterfactualClassification (en)":71.43,"AmazonPolarityClassification":77.72,"AmazonReviewsClassification (en)":38.96,"Banking77Classification":80.4,"EmotionClassification":44.54,"ImdbClassification":70.59,"MassiveIntentClassification (en)":68.5,"MassiveScenarioClassification (en)":73.55,"MTOPDomainClassification (en)":90.5,"MTOPIntentClassification (en)":67.52,"ToxicConversationsClassification":66.69,"TweetSentimentExtractionClassification":59.29}
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143 |
{"index":80,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v3\">gte-micro-v3<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.47,"AmazonCounterfactualClassification (en)":71.43,"AmazonPolarityClassification":77.72,"AmazonReviewsClassification (en)":38.96,"Banking77Classification":80.4,"EmotionClassification":44.54,"ImdbClassification":70.59,"MassiveIntentClassification (en)":68.5,"MassiveScenarioClassification (en)":73.55,"MTOPDomainClassification (en)":90.5,"MTOPIntentClassification (en)":67.52,"ToxicConversationsClassification":66.69,"TweetSentimentExtractionClassification":59.29}
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@@ -149,7 +149,7 @@
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|
149 |
{"index":247,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.11,"AmazonCounterfactualClassification (en)":68.6,"AmazonPolarityClassification":74.58,"AmazonReviewsClassification (en)":38.2,"Banking77Classification":82.22,"EmotionClassification":45.54,"ImdbClassification":68.15,"MassiveIntentClassification (en)":70.23,"MassiveScenarioClassification (en)":75.94,"MTOPDomainClassification (en)":93.6,"MTOPIntentClassification (en)":65.93,"ToxicConversationsClassification":67.56,"TweetSentimentExtractionClassification":54.77}
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150 |
{"index":105,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"Embedding Dimensions":1024,"Max Tokens":512,"Average":67.07,"AmazonCounterfactualClassification (en)":74.81,"AmazonPolarityClassification":78.4,"AmazonReviewsClassification (en)":36.72,"Banking77Classification":80.06,"EmotionClassification":46.46,"ImdbClassification":72.88,"MassiveIntentClassification (en)":65.79,"MassiveScenarioClassification (en)":71.1,"MTOPDomainClassification (en)":92.62,"MTOPIntentClassification (en)":64.51,"ToxicConversationsClassification":64.71,"TweetSentimentExtractionClassification":56.74}
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151 |
{"index":174,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.03,"AmazonCounterfactualClassification (en)":71.87,"AmazonPolarityClassification":88.61,"AmazonReviewsClassification (en)":45.75,"Banking77Classification":70.44,"EmotionClassification":42.86,"ImdbClassification":79.57,"MassiveIntentClassification (en)":63.87,"MassiveScenarioClassification (en)":69.28,"MTOPDomainClassification (en)":88.99,"MTOPIntentClassification (en)":56.69,"ToxicConversationsClassification":63.59,"TweetSentimentExtractionClassification":62.79}
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152 |
-
{"index":144,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":
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153 |
{"index":218,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nthakur\/contriever-base-msmarco\">contriever-base-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":66.68,"AmazonCounterfactualClassification (en)":72.19,"AmazonPolarityClassification":68.63,"AmazonReviewsClassification (en)":37.42,"Banking77Classification":80.02,"EmotionClassification":44.77,"ImdbClassification":67.04,"MassiveIntentClassification (en)":67.78,"MassiveScenarioClassification (en)":76.0,"MTOPDomainClassification (en)":93.18,"MTOPIntentClassification (en)":69.31,"ToxicConversationsClassification":67.77,"TweetSentimentExtractionClassification":56.1}
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154 |
{"index":84,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":66.52,"AmazonCounterfactualClassification (en)":65.21,"AmazonPolarityClassification":73.21,"AmazonReviewsClassification (en)":34.96,"Banking77Classification":82.06,"EmotionClassification":46.39,"ImdbClassification":64.05,"MassiveIntentClassification (en)":68.65,"MassiveScenarioClassification (en)":76.04,"MTOPDomainClassification (en)":92.08,"MTOPIntentClassification (en)":71.19,"ToxicConversationsClassification":68.73,"TweetSentimentExtractionClassification":55.67}
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155 |
{"index":216,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-64<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":64,"Max Tokens":8192,"Average":66.48,"AmazonCounterfactualClassification (en)":66.85,"AmazonPolarityClassification":85.92,"AmazonReviewsClassification (en)":41.02,"Banking77Classification":80.63,"EmotionClassification":40.55,"ImdbClassification":76.6,"MassiveIntentClassification (en)":64.95,"MassiveScenarioClassification (en)":70.38,"MTOPDomainClassification (en)":86.31,"MTOPIntentClassification (en)":62.77,"ToxicConversationsClassification":66.53,"TweetSentimentExtractionClassification":55.23}
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29 |
{"index":126,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":76.03,"AmazonCounterfactualClassification (en)":75.96,"AmazonPolarityClassification":93.51,"AmazonReviewsClassification (en)":50.45,"Banking77Classification":87.3,"EmotionClassification":54.68,"ImdbClassification":89.66,"MassiveIntentClassification (en)":76.01,"MassiveScenarioClassification (en)":79.64,"MTOPDomainClassification (en)":95.3,"MTOPIntentClassification (en)":78.1,"ToxicConversationsClassification":72.42,"TweetSentimentExtractionClassification":59.32}
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30 |
{"index":128,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":76.01,"AmazonCounterfactualClassification (en)":75.58,"AmazonPolarityClassification":93.41,"AmazonReviewsClassification (en)":49.06,"Banking77Classification":88.1,"EmotionClassification":54.72,"ImdbClassification":91.23,"MassiveIntentClassification (en)":76.2,"MassiveScenarioClassification (en)":79.35,"MTOPDomainClassification (en)":95.25,"MTOPIntentClassification (en)":78.24,"ToxicConversationsClassification":71.86,"TweetSentimentExtractionClassification":59.17}
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31 |
{"index":34,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":76.01,"AmazonCounterfactualClassification (en)":77.85,"AmazonPolarityClassification":95.6,"AmazonReviewsClassification (en)":49.79,"Banking77Classification":86.09,"EmotionClassification":48.15,"ImdbClassification":93.97,"MassiveIntentClassification (en)":74.51,"MassiveScenarioClassification (en)":79.0,"MTOPDomainClassification (en)":94.92,"MTOPIntentClassification (en)":78.89,"ToxicConversationsClassification":71.2,"TweetSentimentExtractionClassification":62.18}
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32 |
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{"index":193,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":75.99,"AmazonCounterfactualClassification (en)":76.06,"AmazonPolarityClassification":91.98,"AmazonReviewsClassification (en)":47.94,"Banking77Classification":87.9,"EmotionClassification":52.03,"ImdbClassification":92.79,"MassiveIntentClassification (en)":77.41,"MassiveScenarioClassification (en)":80.45,"MTOPDomainClassification (en)":94.59,"MTOPIntentClassification (en)":79.26,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.0}
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33 |
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{"index":102,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":75.99,"AmazonCounterfactualClassification (en)":76.06,"AmazonPolarityClassification":91.98,"AmazonReviewsClassification (en)":47.94,"Banking77Classification":87.9,"EmotionClassification":52.03,"ImdbClassification":92.79,"MassiveIntentClassification (en)":77.41,"MassiveScenarioClassification (en)":80.45,"MTOPDomainClassification (en)":94.59,"MTOPIntentClassification (en)":79.26,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.0}
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34 |
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{"index":228,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":75.97,"AmazonCounterfactualClassification (en)":75.85,"AmazonPolarityClassification":92.42,"AmazonReviewsClassification (en)":48.18,"Banking77Classification":87.79,"EmotionClassification":51.52,"ImdbClassification":92.85,"MassiveIntentClassification (en)":77.56,"MassiveScenarioClassification (en)":80.53,"MTOPDomainClassification (en)":94.59,"MTOPIntentClassification (en)":79.49,"ToxicConversationsClassification":70.91,"TweetSentimentExtractionClassification":59.94}
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43 |
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{"index":131,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":75.53,"AmazonCounterfactualClassification (en)":76.15,"AmazonPolarityClassification":93.39,"AmazonReviewsClassification (en)":48.85,"Banking77Classification":86.95,"EmotionClassification":51.9,"ImdbClassification":90.81,"MassiveIntentClassification (en)":76.15,"MassiveScenarioClassification (en)":80.16,"MTOPDomainClassification (en)":94.17,"MTOPIntentClassification (en)":76.91,"ToxicConversationsClassification":71.58,"TweetSentimentExtractionClassification":59.38}
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44 |
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45 |
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46 |
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47 |
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48 |
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49 |
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50 |
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57 |
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58 |
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59 |
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60 |
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61 |
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62 |
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63 |
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{"index":217,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":73.55,"AmazonCounterfactualClassification (en)":75.21,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":47.16,"Banking77Classification":84.25,"EmotionClassification":47.99,"ImdbClassification":85.31,"MassiveIntentClassification (en)":73.46,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":93.01,"MTOPIntentClassification (en)":75.03,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.92}
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64 |
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65 |
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{"index":117,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.55,"AmazonCounterfactualClassification (en)":75.21,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":47.16,"Banking77Classification":84.25,"EmotionClassification":47.99,"ImdbClassification":85.31,"MassiveIntentClassification (en)":73.46,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":93.01,"MTOPIntentClassification (en)":75.03,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.92}
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66 |
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{"index":98,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.55,"AmazonCounterfactualClassification (en)":75.21,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":47.16,"Banking77Classification":84.25,"EmotionClassification":47.99,"ImdbClassification":85.31,"MassiveIntentClassification (en)":73.46,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":93.01,"MTOPIntentClassification (en)":75.03,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.92}
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67 |
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68 |
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{"index":123,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aimlresearch2023\/jina-embeddings-v2-base-en-Q8_0-GGUF\">jina-embeddings-v2-base-en-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.45,"AmazonCounterfactualClassification (en)":74.73,"AmazonPolarityClassification":88.54,"AmazonReviewsClassification (en)":45.26,"Banking77Classification":84.01,"EmotionClassification":48.77,"ImdbClassification":79.44,"MassiveIntentClassification (en)":71.93,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":95.68,"MTOPIntentClassification (en)":83.15,"ToxicConversationsClassification":73.35,"TweetSentimentExtractionClassification":62.06}
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69 |
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70 |
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71 |
{"index":256,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.42,"AmazonCounterfactualClassification (en)":77.07,"AmazonPolarityClassification":92.79,"AmazonReviewsClassification (en)":48.93,"Banking77Classification":82.31,"EmotionClassification":48.57,"ImdbClassification":90.23,"MassiveIntentClassification (en)":73.44,"MassiveScenarioClassification (en)":74.82,"MTOPDomainClassification (en)":92.49,"MTOPIntentClassification (en)":68.33,"ToxicConversationsClassification":70.04,"TweetSentimentExtractionClassification":62.01}
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72 |
{"index":264,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":73.33,"AmazonCounterfactualClassification (en)":72.63,"AmazonPolarityClassification":92.52,"AmazonReviewsClassification (en)":49.07,"Banking77Classification":86.06,"EmotionClassification":47.88,"ImdbClassification":88.46,"MassiveIntentClassification (en)":72.62,"MassiveScenarioClassification (en)":76.77,"MTOPDomainClassification (en)":93.51,"MTOPIntentClassification (en)":73.25,"ToxicConversationsClassification":70.56,"TweetSentimentExtractionClassification":56.58}
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77 |
{"index":134,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/biswa921\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":73.13,"AmazonCounterfactualClassification (en)":75.63,"AmazonPolarityClassification":91.01,"AmazonReviewsClassification (en)":46.99,"Banking77Classification":81.93,"EmotionClassification":50.16,"ImdbClassification":87.84,"MassiveIntentClassification (en)":71.08,"MassiveScenarioClassification (en)":76.64,"MTOPDomainClassification (en)":93.36,"MTOPIntentClassification (en)":66.58,"ToxicConversationsClassification":72.6,"TweetSentimentExtractionClassification":63.71}
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78 |
{"index":162,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.12,"AmazonCounterfactualClassification (en)":85.09,"AmazonPolarityClassification":86.54,"AmazonReviewsClassification (en)":42.96,"Banking77Classification":82.66,"EmotionClassification":53.24,"ImdbClassification":79.79,"MassiveIntentClassification (en)":71.48,"MassiveScenarioClassification (en)":76.47,"MTOPDomainClassification (en)":95.07,"MTOPIntentClassification (en)":72.26,"ToxicConversationsClassification":70.33,"TweetSentimentExtractionClassification":61.58}
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79 |
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80 |
+
{"index":119,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":72.95,"AmazonCounterfactualClassification (en)":78.19,"AmazonPolarityClassification":90.7,"AmazonReviewsClassification (en)":47.94,"Banking77Classification":80.99,"EmotionClassification":50.21,"ImdbClassification":88.77,"MassiveIntentClassification (en)":72.02,"MassiveScenarioClassification (en)":76.6,"MTOPDomainClassification (en)":92.43,"MTOPIntentClassification (en)":69.24,"ToxicConversationsClassification":65.57,"TweetSentimentExtractionClassification":62.8}
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81 |
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{"index":57,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":72.95,"AmazonCounterfactualClassification (en)":78.19,"AmazonPolarityClassification":90.7,"AmazonReviewsClassification (en)":47.94,"Banking77Classification":80.99,"EmotionClassification":50.21,"ImdbClassification":88.77,"MassiveIntentClassification (en)":72.02,"MassiveScenarioClassification (en)":76.6,"MTOPDomainClassification (en)":92.43,"MTOPIntentClassification (en)":69.24,"ToxicConversationsClassification":65.57,"TweetSentimentExtractionClassification":62.8}
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82 |
{"index":170,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":72.94,"AmazonCounterfactualClassification (en)":77.6,"AmazonPolarityClassification":91.27,"AmazonReviewsClassification (en)":45.88,"Banking77Classification":81.64,"EmotionClassification":47.06,"ImdbClassification":86.0,"MassiveIntentClassification (en)":71.62,"MassiveScenarioClassification (en)":76.36,"MTOPDomainClassification (en)":92.7,"MTOPIntentClassification (en)":72.56,"ToxicConversationsClassification":71.1,"TweetSentimentExtractionClassification":61.46}
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83 |
{"index":255,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":72.84,"AmazonCounterfactualClassification (en)":76.01,"AmazonPolarityClassification":93.17,"AmazonReviewsClassification (en)":48.18,"Banking77Classification":80.88,"EmotionClassification":51.95,"ImdbClassification":87.54,"MassiveIntentClassification (en)":72.09,"MassiveScenarioClassification (en)":73.26,"MTOPDomainClassification (en)":90.73,"MTOPIntentClassification (en)":68.15,"ToxicConversationsClassification":70.95,"TweetSentimentExtractionClassification":61.21}
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84 |
{"index":127,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":72.72,"AmazonCounterfactualClassification (en)":72.9,"AmazonPolarityClassification":87.19,"AmazonReviewsClassification (en)":42.56,"Banking77Classification":84.24,"EmotionClassification":52.06,"ImdbClassification":78.54,"MassiveIntentClassification (en)":73.18,"MassiveScenarioClassification (en)":76.68,"MTOPDomainClassification (en)":94.78,"MTOPIntentClassification (en)":77.72,"ToxicConversationsClassification":72.9,"TweetSentimentExtractionClassification":59.85}
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116 |
{"index":171,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":69.76,"AmazonCounterfactualClassification (en)":77.36,"AmazonPolarityClassification":91.76,"AmazonReviewsClassification (en)":47.54,"Banking77Classification":73.53,"EmotionClassification":45.68,"ImdbClassification":84.29,"MassiveIntentClassification (en)":65.71,"MassiveScenarioClassification (en)":71.57,"MTOPDomainClassification (en)":90.9,"MTOPIntentClassification (en)":61.6,"ToxicConversationsClassification":64.33,"TweetSentimentExtractionClassification":62.8}
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117 |
{"index":213,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"Average":69.7,"AmazonCounterfactualClassification (en)":69.78,"AmazonPolarityClassification":88.74,"AmazonReviewsClassification (en)":43.11,"Banking77Classification":82.78,"EmotionClassification":42.92,"ImdbClassification":80.87,"MassiveIntentClassification (en)":69.34,"MassiveScenarioClassification (en)":74.21,"MTOPDomainClassification (en)":89.61,"MTOPIntentClassification (en)":68.9,"ToxicConversationsClassification":68.16,"TweetSentimentExtractionClassification":57.99}
|
118 |
{"index":190,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.65,"AmazonCounterfactualClassification (en)":70.12,"AmazonPolarityClassification":92.95,"AmazonReviewsClassification (en)":50.52,"Banking77Classification":75.59,"EmotionClassification":45.98,"ImdbClassification":90.22,"MassiveIntentClassification (en)":65.03,"MassiveScenarioClassification (en)":71.05,"MTOPDomainClassification (en)":88.63,"MTOPIntentClassification (en)":58.08,"ToxicConversationsClassification":69.33,"TweetSentimentExtractionClassification":58.25}
|
119 |
+
{"index":187,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
|
120 |
+
{"index":223,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
|
121 |
{"index":188,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":68.82,"AmazonCounterfactualClassification (en)":71.36,"AmazonPolarityClassification":82.9,"AmazonReviewsClassification (en)":40.89,"Banking77Classification":78.25,"EmotionClassification":44.01,"ImdbClassification":73.64,"MassiveIntentClassification (en)":67.61,"MassiveScenarioClassification (en)":69.75,"MTOPDomainClassification (en)":93.96,"MTOPIntentClassification (en)":72.5,"ToxicConversationsClassification":71.54,"TweetSentimentExtractionClassification":59.4}
|
122 |
{"index":108,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":68.79,"AmazonCounterfactualClassification (en)":68.3,"AmazonPolarityClassification":90.31,"AmazonReviewsClassification (en)":46.27,"Banking77Classification":80.01,"EmotionClassification":43.67,"ImdbClassification":84.36,"MassiveIntentClassification (en)":66.69,"MassiveScenarioClassification (en)":73.06,"MTOPDomainClassification (en)":91.36,"MTOPIntentClassification (en)":60.64,"ToxicConversationsClassification":66.84,"TweetSentimentExtractionClassification":53.91}
|
123 |
{"index":209,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":68.55,"AmazonCounterfactualClassification (en)":70.72,"AmazonPolarityClassification":83.34,"AmazonReviewsClassification (en)":40.99,"Banking77Classification":81.25,"EmotionClassification":41.66,"ImdbClassification":74.81,"MassiveIntentClassification (en)":69.8,"MassiveScenarioClassification (en)":74.54,"MTOPDomainClassification (en)":91.22,"MTOPIntentClassification (en)":69.39,"ToxicConversationsClassification":67.44,"TweetSentimentExtractionClassification":57.48}
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|
126 |
{"index":81,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Embedding Dimensions":384,"Max Tokens":512,"Average":68.13,"AmazonCounterfactualClassification (en)":71.84,"AmazonPolarityClassification":80.04,"AmazonReviewsClassification (en)":39.75,"Banking77Classification":80.92,"EmotionClassification":44.88,"ImdbClassification":71.96,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":74.16,"MTOPDomainClassification (en)":90.87,"MTOPIntentClassification (en)":68.53,"ToxicConversationsClassification":66.04,"TweetSentimentExtractionClassification":59.43}
|
127 |
{"index":179,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":68.04,"AmazonCounterfactualClassification (en)":72.36,"AmazonPolarityClassification":83.81,"AmazonReviewsClassification (en)":38.97,"Banking77Classification":80.97,"EmotionClassification":44.77,"ImdbClassification":72.21,"MassiveIntentClassification (en)":66.09,"MassiveScenarioClassification (en)":73.26,"MTOPDomainClassification (en)":89.93,"MTOPIntentClassification (en)":66.56,"ToxicConversationsClassification":67.96,"TweetSentimentExtractionClassification":59.6}
|
128 |
{"index":112,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":68.04,"AmazonCounterfactualClassification (en)":67.76,"AmazonPolarityClassification":79.75,"AmazonReviewsClassification (en)":37.45,"Banking77Classification":81.17,"EmotionClassification":44.53,"ImdbClassification":76.46,"MassiveIntentClassification (en)":68.58,"MassiveScenarioClassification (en)":73.92,"MTOPDomainClassification (en)":90.67,"MTOPIntentClassification (en)":68.29,"ToxicConversationsClassification":70.23,"TweetSentimentExtractionClassification":57.64}
|
129 |
+
{"index":107,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":68.01,"AmazonCounterfactualClassification (en)":78.48,"AmazonPolarityClassification":78.74,"AmazonReviewsClassification (en)":39.93,"Banking77Classification":80.26,"EmotionClassification":47.26,"ImdbClassification":71.79,"MassiveIntentClassification (en)":66.55,"MassiveScenarioClassification (en)":73.11,"MTOPDomainClassification (en)":93.04,"MTOPIntentClassification (en)":63.52,"ToxicConversationsClassification":66.74,"TweetSentimentExtractionClassification":56.73}
|
130 |
+
{"index":279,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":68.01,"AmazonCounterfactualClassification (en)":78.48,"AmazonPolarityClassification":78.74,"AmazonReviewsClassification (en)":39.93,"Banking77Classification":80.26,"EmotionClassification":47.26,"ImdbClassification":71.79,"MassiveIntentClassification (en)":66.55,"MassiveScenarioClassification (en)":73.11,"MTOPDomainClassification (en)":93.04,"MTOPIntentClassification (en)":63.52,"ToxicConversationsClassification":66.74,"TweetSentimentExtractionClassification":56.73}
|
131 |
+
{"index":185,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":67.98,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":77.52,"AmazonReviewsClassification (en)":38.5,"Banking77Classification":83.94,"EmotionClassification":44.64,"ImdbClassification":68.61,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":73.74,"MTOPDomainClassification (en)":89.38,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":69.65,"TweetSentimentExtractionClassification":60.43}
|
132 |
+
{"index":61,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.98,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":77.52,"AmazonReviewsClassification (en)":38.5,"Banking77Classification":83.94,"EmotionClassification":44.64,"ImdbClassification":68.61,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":73.74,"MTOPDomainClassification (en)":89.38,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":69.65,"TweetSentimentExtractionClassification":60.43}
|
133 |
+
{"index":136,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.98,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":77.52,"AmazonReviewsClassification (en)":38.5,"Banking77Classification":83.94,"EmotionClassification":44.64,"ImdbClassification":68.61,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":73.74,"MTOPDomainClassification (en)":89.38,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":69.65,"TweetSentimentExtractionClassification":60.43}
|
134 |
{"index":252,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":67.9,"AmazonCounterfactualClassification (en)":75.81,"AmazonPolarityClassification":76.41,"AmazonReviewsClassification (en)":38.51,"Banking77Classification":81.07,"EmotionClassification":45.83,"ImdbClassification":64.57,"MassiveIntentClassification (en)":69.32,"MassiveScenarioClassification (en)":75.35,"MTOPDomainClassification (en)":89.24,"MTOPIntentClassification (en)":68.69,"ToxicConversationsClassification":71.02,"TweetSentimentExtractionClassification":59.03}
|
135 |
{"index":268,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.9,"AmazonCounterfactualClassification (en)":76.19,"AmazonPolarityClassification":69.63,"AmazonReviewsClassification (en)":35.53,"Banking77Classification":78.13,"EmotionClassification":45.48,"ImdbClassification":64.06,"MassiveIntentClassification (en)":71.69,"MassiveScenarioClassification (en)":77.2,"MTOPDomainClassification (en)":92.94,"MTOPIntentClassification (en)":74.43,"ToxicConversationsClassification":70.17,"TweetSentimentExtractionClassification":59.31}
|
136 |
{"index":73,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.9,"AmazonCounterfactualClassification (en)":71.87,"AmazonPolarityClassification":78.79,"AmazonReviewsClassification (en)":39.31,"Banking77Classification":80.58,"EmotionClassification":44.79,"ImdbClassification":71.53,"MassiveIntentClassification (en)":68.84,"MassiveScenarioClassification (en)":73.75,"MTOPDomainClassification (en)":90.79,"MTOPIntentClassification (en)":68.72,"ToxicConversationsClassification":66.29,"TweetSentimentExtractionClassification":59.49}
|
137 |
{"index":125,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":384,"Max Tokens":4096,"Average":67.8,"AmazonCounterfactualClassification (en)":68.75,"AmazonPolarityClassification":81.3,"AmazonReviewsClassification (en)":38.57,"Banking77Classification":79.98,"EmotionClassification":40.09,"ImdbClassification":80.09,"MassiveIntentClassification (en)":67.58,"MassiveScenarioClassification (en)":73.47,"MTOPDomainClassification (en)":90.36,"MTOPIntentClassification (en)":66.45,"ToxicConversationsClassification":69.34,"TweetSentimentExtractionClassification":57.6}
|
138 |
{"index":76,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Venusaur\">Venusaur<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.77,"AmazonCounterfactualClassification (en)":73.18,"AmazonPolarityClassification":79.99,"AmazonReviewsClassification (en)":39.66,"Banking77Classification":77.95,"EmotionClassification":44.38,"ImdbClassification":73.02,"MassiveIntentClassification (en)":67.75,"MassiveScenarioClassification (en)":72.36,"MTOPDomainClassification (en)":89.87,"MTOPIntentClassification (en)":71.03,"ToxicConversationsClassification":64.41,"TweetSentimentExtractionClassification":59.66}
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139 |
{"index":59,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.77,"AmazonCounterfactualClassification (en)":74.28,"AmazonPolarityClassification":82.2,"AmazonReviewsClassification (en)":40.22,"Banking77Classification":80.31,"EmotionClassification":40.81,"ImdbClassification":73.7,"MassiveIntentClassification (en)":68.86,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":89.73,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":62.52,"TweetSentimentExtractionClassification":59.6}
|
140 |
+
{"index":183,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.76,"AmazonCounterfactualClassification (en)":68.93,"AmazonPolarityClassification":69.14,"AmazonReviewsClassification (en)":31.38,"Banking77Classification":85.34,"EmotionClassification":45.84,"ImdbClassification":66.42,"MassiveIntentClassification (en)":72.73,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":92.83,"MTOPIntentClassification (en)":76.09,"ToxicConversationsClassification":69.13,"TweetSentimentExtractionClassification":58.16}
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141 |
{"index":72,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":67.67,"AmazonCounterfactualClassification (en)":72.93,"AmazonPolarityClassification":74.28,"AmazonReviewsClassification (en)":36.14,"Banking77Classification":79.0,"EmotionClassification":42.85,"ImdbClassification":71.92,"MassiveIntentClassification (en)":69.99,"MassiveScenarioClassification (en)":75.15,"MTOPDomainClassification (en)":91.24,"MTOPIntentClassification (en)":74.08,"ToxicConversationsClassification":68.4,"TweetSentimentExtractionClassification":56.08}
|
142 |
{"index":79,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v2\">gte-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.47,"AmazonCounterfactualClassification (en)":71.43,"AmazonPolarityClassification":77.72,"AmazonReviewsClassification (en)":38.96,"Banking77Classification":80.4,"EmotionClassification":44.54,"ImdbClassification":70.59,"MassiveIntentClassification (en)":68.5,"MassiveScenarioClassification (en)":73.55,"MTOPDomainClassification (en)":90.5,"MTOPIntentClassification (en)":67.52,"ToxicConversationsClassification":66.69,"TweetSentimentExtractionClassification":59.29}
|
143 |
{"index":80,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v3\">gte-micro-v3<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.47,"AmazonCounterfactualClassification (en)":71.43,"AmazonPolarityClassification":77.72,"AmazonReviewsClassification (en)":38.96,"Banking77Classification":80.4,"EmotionClassification":44.54,"ImdbClassification":70.59,"MassiveIntentClassification (en)":68.5,"MassiveScenarioClassification (en)":73.55,"MTOPDomainClassification (en)":90.5,"MTOPIntentClassification (en)":67.52,"ToxicConversationsClassification":66.69,"TweetSentimentExtractionClassification":59.29}
|
|
|
149 |
{"index":247,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.11,"AmazonCounterfactualClassification (en)":68.6,"AmazonPolarityClassification":74.58,"AmazonReviewsClassification (en)":38.2,"Banking77Classification":82.22,"EmotionClassification":45.54,"ImdbClassification":68.15,"MassiveIntentClassification (en)":70.23,"MassiveScenarioClassification (en)":75.94,"MTOPDomainClassification (en)":93.6,"MTOPIntentClassification (en)":65.93,"ToxicConversationsClassification":67.56,"TweetSentimentExtractionClassification":54.77}
|
150 |
{"index":105,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"Embedding Dimensions":1024,"Max Tokens":512,"Average":67.07,"AmazonCounterfactualClassification (en)":74.81,"AmazonPolarityClassification":78.4,"AmazonReviewsClassification (en)":36.72,"Banking77Classification":80.06,"EmotionClassification":46.46,"ImdbClassification":72.88,"MassiveIntentClassification (en)":65.79,"MassiveScenarioClassification (en)":71.1,"MTOPDomainClassification (en)":92.62,"MTOPIntentClassification (en)":64.51,"ToxicConversationsClassification":64.71,"TweetSentimentExtractionClassification":56.74}
|
151 |
{"index":174,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.03,"AmazonCounterfactualClassification (en)":71.87,"AmazonPolarityClassification":88.61,"AmazonReviewsClassification (en)":45.75,"Banking77Classification":70.44,"EmotionClassification":42.86,"ImdbClassification":79.57,"MassiveIntentClassification (en)":63.87,"MassiveScenarioClassification (en)":69.28,"MTOPDomainClassification (en)":88.99,"MTOPIntentClassification (en)":56.69,"ToxicConversationsClassification":63.59,"TweetSentimentExtractionClassification":62.79}
|
152 |
+
{"index":144,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":66.95,"AmazonCounterfactualClassification (en)":67.06,"AmazonPolarityClassification":70.41,"AmazonReviewsClassification (en)":33.21,"Banking77Classification":82.73,"EmotionClassification":43.47,"ImdbClassification":67.3,"MassiveIntentClassification (en)":71.77,"MassiveScenarioClassification (en)":77.85,"MTOPDomainClassification (en)":91.82,"MTOPIntentClassification (en)":74.7,"ToxicConversationsClassification":67.48,"TweetSentimentExtractionClassification":55.62}
|
153 |
{"index":218,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nthakur\/contriever-base-msmarco\">contriever-base-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":66.68,"AmazonCounterfactualClassification (en)":72.19,"AmazonPolarityClassification":68.63,"AmazonReviewsClassification (en)":37.42,"Banking77Classification":80.02,"EmotionClassification":44.77,"ImdbClassification":67.04,"MassiveIntentClassification (en)":67.78,"MassiveScenarioClassification (en)":76.0,"MTOPDomainClassification (en)":93.18,"MTOPIntentClassification (en)":69.31,"ToxicConversationsClassification":67.77,"TweetSentimentExtractionClassification":56.1}
|
154 |
{"index":84,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":66.52,"AmazonCounterfactualClassification (en)":65.21,"AmazonPolarityClassification":73.21,"AmazonReviewsClassification (en)":34.96,"Banking77Classification":82.06,"EmotionClassification":46.39,"ImdbClassification":64.05,"MassiveIntentClassification (en)":68.65,"MassiveScenarioClassification (en)":76.04,"MTOPDomainClassification (en)":92.08,"MTOPIntentClassification (en)":71.19,"ToxicConversationsClassification":68.73,"TweetSentimentExtractionClassification":55.67}
|
155 |
{"index":216,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-64<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":64,"Max Tokens":8192,"Average":66.48,"AmazonCounterfactualClassification (en)":66.85,"AmazonPolarityClassification":85.92,"AmazonReviewsClassification (en)":41.02,"Banking77Classification":80.63,"EmotionClassification":40.55,"ImdbClassification":76.6,"MassiveIntentClassification (en)":64.95,"MassiveScenarioClassification (en)":70.38,"MTOPDomainClassification (en)":86.31,"MTOPIntentClassification (en)":62.77,"ToxicConversationsClassification":66.53,"TweetSentimentExtractionClassification":55.23}
|
all_data_tasks/1/default.jsonl
CHANGED
@@ -27,8 +27,8 @@
|
|
27 |
{"index":264,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.84,"ArxivClusteringP2P":48.62,"ArxivClusteringS2S":43.36,"BiorxivClusteringP2P":39.11,"BiorxivClusteringS2S":36.85,"MedrxivClusteringP2P":33.39,"MedrxivClusteringS2S":31.76,"RedditClustering":60.83,"RedditClusteringP2P":64.24,"StackExchangeClustering":67.64,"StackExchangeClusteringP2P":36.57,"TwentyNewsgroupsClustering":52.82}
|
28 |
{"index":18,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.82,"ArxivClusteringP2P":47.51,"ArxivClusteringS2S":42.05,"BiorxivClusteringP2P":40.32,"BiorxivClusteringS2S":37.55,"MedrxivClusteringP2P":34.6,"MedrxivClusteringS2S":32.27,"RedditClustering":58.61,"RedditClusteringP2P":66.87,"StackExchangeClustering":68.93,"StackExchangeClusteringP2P":37.6,"TwentyNewsgroupsClustering":48.75}
|
29 |
{"index":114,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.73,"ArxivClusteringP2P":49.03,"ArxivClusteringS2S":43.09,"BiorxivClusteringP2P":39.38,"BiorxivClusteringS2S":37.23,"MedrxivClusteringP2P":33.22,"MedrxivClusteringS2S":31.18,"RedditClustering":60.52,"RedditClusteringP2P":65.35,"StackExchangeClustering":66.54,"StackExchangeClusteringP2P":36.72,"TwentyNewsgroupsClustering":51.72}
|
30 |
-
{"index":
|
31 |
-
{"index":
|
32 |
{"index":298,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":46.65,"ArxivClusteringP2P":46.57,"ArxivClusteringS2S":39.35,"BiorxivClusteringP2P":37.77,"BiorxivClusteringS2S":34.68,"MedrxivClusteringP2P":32.77,"MedrxivClusteringS2S":31.85,"RedditClustering":64.09,"RedditClusteringP2P":65.12,"StackExchangeClustering":72.05,"StackExchangeClusteringP2P":34.04,"TwentyNewsgroupsClustering":54.81}
|
33 |
{"index":181,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.61,"ArxivClusteringP2P":48.73,"ArxivClusteringS2S":42.87,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":37.24,"MedrxivClusteringP2P":34.31,"MedrxivClusteringS2S":32.18,"RedditClustering":59.43,"RedditClusteringP2P":64.54,"StackExchangeClustering":65.08,"StackExchangeClusteringP2P":35.52,"TwentyNewsgroupsClustering":53.12}
|
34 |
{"index":34,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":46.6,"ArxivClusteringP2P":48.16,"ArxivClusteringS2S":40.79,"BiorxivClusteringP2P":40.5,"BiorxivClusteringS2S":36.91,"MedrxivClusteringP2P":36.18,"MedrxivClusteringS2S":33.44,"RedditClustering":58.11,"RedditClusteringP2P":65.02,"StackExchangeClustering":68.12,"StackExchangeClusteringP2P":35.22,"TwentyNewsgroupsClustering":50.14}
|
@@ -39,15 +39,15 @@
|
|
39 |
{"index":296,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":46.23,"ArxivClusteringP2P":47.05,"ArxivClusteringS2S":42.59,"BiorxivClusteringP2P":35.43,"BiorxivClusteringS2S":33.86,"MedrxivClusteringP2P":32.1,"MedrxivClusteringS2S":31.15,"RedditClustering":60.18,"RedditClusteringP2P":64.71,"StackExchangeClustering":71.23,"StackExchangeClusteringP2P":35.95,"TwentyNewsgroupsClustering":54.24}
|
40 |
{"index":126,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":46.21,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.74,"BiorxivClusteringP2P":39.04,"BiorxivClusteringS2S":36.67,"MedrxivClusteringP2P":33.92,"MedrxivClusteringS2S":32.25,"RedditClustering":59.11,"RedditClusteringP2P":62.44,"StackExchangeClustering":66.14,"StackExchangeClusteringP2P":35.59,"TwentyNewsgroupsClustering":52.16}
|
41 |
{"index":263,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":46.2,"ArxivClusteringP2P":48.6,"ArxivClusteringS2S":43.01,"BiorxivClusteringP2P":38.2,"BiorxivClusteringS2S":36.59,"MedrxivClusteringP2P":33.17,"MedrxivClusteringS2S":31.77,"RedditClustering":59.33,"RedditClusteringP2P":62.59,"StackExchangeClustering":66.64,"StackExchangeClusteringP2P":36.0,"TwentyNewsgroupsClustering":52.31}
|
42 |
-
{"index":
|
43 |
{"index":228,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
44 |
-
{"index":
|
45 |
{"index":200,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.07,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.34,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":36.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.22,"RedditClustering":57.93,"RedditClusteringP2P":62.47,"StackExchangeClustering":66.41,"StackExchangeClusteringP2P":35.32,"TwentyNewsgroupsClustering":51.48}
|
46 |
{"index":295,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":45.9,"ArxivClusteringP2P":45.01,"ArxivClusteringS2S":36.85,"BiorxivClusteringP2P":36.66,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":32.6,"MedrxivClusteringS2S":30.8,"RedditClustering":61.42,"RedditClusteringP2P":64.13,"StackExchangeClustering":72.22,"StackExchangeClusteringP2P":38.49,"TwentyNewsgroupsClustering":52.56}
|
47 |
{"index":21,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.81,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":36.62,"MedrxivClusteringP2P":33.21,"MedrxivClusteringS2S":31.68,"RedditClustering":56.61,"RedditClusteringP2P":62.66,"StackExchangeClustering":66.11,"StackExchangeClusteringP2P":35.24,"TwentyNewsgroupsClustering":50.75}
|
48 |
{"index":131,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
|
49 |
-
{"index":
|
50 |
-
{"index":
|
51 |
{"index":69,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":45.54,"ArxivClusteringP2P":42.81,"ArxivClusteringS2S":44.24,"BiorxivClusteringP2P":34.27,"BiorxivClusteringS2S":35.53,"MedrxivClusteringP2P":31.07,"MedrxivClusteringS2S":31.27,"RedditClustering":60.24,"RedditClusteringP2P":64.12,"StackExchangeClustering":70.73,"StackExchangeClusteringP2P":34.5,"TwentyNewsgroupsClustering":52.18}
|
52 |
{"index":161,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.29,"ArxivClusteringP2P":43.16,"ArxivClusteringS2S":32.56,"BiorxivClusteringP2P":37.62,"BiorxivClusteringS2S":31.33,"MedrxivClusteringP2P":34.22,"MedrxivClusteringS2S":32.0,"RedditClustering":63.65,"RedditClusteringP2P":64.63,"StackExchangeClustering":68.78,"StackExchangeClusteringP2P":36.15,"TwentyNewsgroupsClustering":54.13}
|
53 |
{"index":65,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":45.24,"ArxivClusteringP2P":43.14,"ArxivClusteringS2S":42.38,"BiorxivClusteringP2P":35.88,"BiorxivClusteringS2S":34.81,"MedrxivClusteringP2P":32.23,"MedrxivClusteringS2S":31.37,"RedditClustering":61.1,"RedditClusteringP2P":64.52,"StackExchangeClustering":67.98,"StackExchangeClusteringP2P":33.2,"TwentyNewsgroupsClustering":51.04}
|
@@ -60,16 +60,16 @@
|
|
60 |
{"index":129,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":44.82,"ArxivClusteringP2P":47.62,"ArxivClusteringS2S":39.86,"BiorxivClusteringP2P":39.22,"BiorxivClusteringS2S":35.43,"MedrxivClusteringP2P":34.5,"MedrxivClusteringS2S":32.16,"RedditClustering":55.51,"RedditClusteringP2P":60.64,"StackExchangeClustering":61.91,"StackExchangeClusteringP2P":36.16,"TwentyNewsgroupsClustering":50.01}
|
61 |
{"index":162,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.74,"ArxivClusteringP2P":42.45,"ArxivClusteringS2S":32.21,"BiorxivClusteringP2P":37.37,"BiorxivClusteringS2S":30.55,"MedrxivClusteringP2P":33.19,"MedrxivClusteringS2S":30.79,"RedditClustering":63.49,"RedditClusteringP2P":65.13,"StackExchangeClustering":68.44,"StackExchangeClusteringP2P":35.17,"TwentyNewsgroupsClustering":53.38}
|
62 |
{"index":31,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.64,"ArxivClusteringP2P":46.19,"ArxivClusteringS2S":37.58,"BiorxivClusteringP2P":38.97,"BiorxivClusteringS2S":34.52,"MedrxivClusteringP2P":37.66,"MedrxivClusteringS2S":33.54,"RedditClustering":53.5,"RedditClusteringP2P":63.59,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":36.48,"TwentyNewsgroupsClustering":46.06}
|
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{"index":
|
64 |
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{"index":
|
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{"index":53,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.49,"ArxivClusteringP2P":45.55,"ArxivClusteringS2S":41.02,"BiorxivClusteringP2P":37.36,"BiorxivClusteringS2S":34.85,"MedrxivClusteringP2P":31.82,"MedrxivClusteringS2S":30.38,"RedditClustering":55.83,"RedditClusteringP2P":63.38,"StackExchangeClustering":65.92,"StackExchangeClusteringP2P":33.67,"TwentyNewsgroupsClustering":49.6}
|
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{"index":20,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":44.31,"ArxivClusteringP2P":46.02,"ArxivClusteringS2S":41.07,"BiorxivClusteringP2P":37.59,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":33.05,"MedrxivClusteringS2S":31.97,"RedditClustering":55.72,"RedditClusteringP2P":62.25,"StackExchangeClustering":63.42,"StackExchangeClusteringP2P":31.71,"TwentyNewsgroupsClustering":50.35}
|
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{"index":167,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":44.26,"ArxivClusteringP2P":45.55,"ArxivClusteringS2S":41.02,"BiorxivClusteringP2P":36.72,"BiorxivClusteringS2S":35.47,"MedrxivClusteringP2P":31.45,"MedrxivClusteringS2S":29.91,"RedditClustering":55.5,"RedditClusteringP2P":63.71,"StackExchangeClustering":65.23,"StackExchangeClusteringP2P":33.62,"TwentyNewsgroupsClustering":48.73}
|
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{"index":165,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.1,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.12,"BiorxivClusteringS2S":33.41,"MedrxivClusteringP2P":31.82,"MedrxivClusteringS2S":29.68,"RedditClustering":56.54,"RedditClusteringP2P":63.23,"StackExchangeClustering":64.6,"StackExchangeClusteringP2P":33.02,"TwentyNewsgroupsClustering":49.86}
|
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-
{"index":
|
70 |
{"index":117,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
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-
{"index":
|
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-
{"index":
|
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{"index":210,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
|
74 |
{"index":26,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":43.82,"ArxivClusteringP2P":47.4,"ArxivClusteringS2S":40.02,"BiorxivClusteringP2P":38.47,"BiorxivClusteringS2S":34.72,"MedrxivClusteringP2P":33.06,"MedrxivClusteringS2S":30.86,"RedditClustering":52.32,"RedditClusteringP2P":60.64,"StackExchangeClustering":60.78,"StackExchangeClusteringP2P":35.27,"TwentyNewsgroupsClustering":48.52}
|
75 |
{"index":153,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":43.8,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.5,"BiorxivClusteringS2S":32.72,"MedrxivClusteringP2P":31.46,"MedrxivClusteringS2S":28.99,"RedditClustering":56.16,"RedditClusteringP2P":63.43,"StackExchangeClustering":65.15,"StackExchangeClusteringP2P":32.5,"TwentyNewsgroupsClustering":48.16}
|
@@ -104,8 +104,8 @@
|
|
104 |
{"index":274,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":41.73,"ArxivClusteringP2P":45.39,"ArxivClusteringS2S":36.68,"BiorxivClusteringP2P":37.05,"BiorxivClusteringS2S":30.16,"MedrxivClusteringP2P":32.41,"MedrxivClusteringS2S":28.09,"RedditClustering":53.05,"RedditClusteringP2P":60.31,"StackExchangeClustering":58.52,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":42.46}
|
105 |
{"index":254,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":41.65,"ArxivClusteringP2P":41.62,"ArxivClusteringS2S":29.44,"BiorxivClusteringP2P":35.99,"BiorxivClusteringS2S":24.02,"MedrxivClusteringP2P":32.4,"MedrxivClusteringS2S":26.33,"RedditClustering":54.53,"RedditClusteringP2P":62.5,"StackExchangeClustering":65.11,"StackExchangeClusteringP2P":36.86,"TwentyNewsgroupsClustering":49.33}
|
106 |
{"index":246,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":41.6,"ArxivClusteringP2P":37.5,"ArxivClusteringS2S":30.55,"BiorxivClusteringP2P":29.59,"BiorxivClusteringS2S":25.72,"MedrxivClusteringP2P":28.72,"MedrxivClusteringS2S":27.39,"RedditClustering":61.69,"RedditClusteringP2P":61.67,"StackExchangeClustering":69.93,"StackExchangeClusteringP2P":33.21,"TwentyNewsgroupsClustering":51.64}
|
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-
{"index":
|
108 |
-
{"index":
|
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{"index":247,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":41.51,"ArxivClusteringP2P":37.9,"ArxivClusteringS2S":30.45,"BiorxivClusteringP2P":30.52,"BiorxivClusteringS2S":26.06,"MedrxivClusteringP2P":28.69,"MedrxivClusteringS2S":26.69,"RedditClustering":61.34,"RedditClusteringP2P":61.11,"StackExchangeClustering":69.95,"StackExchangeClusteringP2P":32.73,"TwentyNewsgroupsClustering":51.15}
|
110 |
{"index":105,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"Embedding Dimensions":1024,"Max Tokens":512,"Average":41.49,"ArxivClusteringP2P":47.46,"ArxivClusteringS2S":38.29,"BiorxivClusteringP2P":37.54,"BiorxivClusteringS2S":32.65,"MedrxivClusteringP2P":31.47,"MedrxivClusteringS2S":28.94,"RedditClustering":46.02,"RedditClusteringP2P":62.43,"StackExchangeClustering":57.86,"StackExchangeClusteringP2P":37.82,"TwentyNewsgroupsClustering":35.91}
|
111 |
{"index":172,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":41.23,"ArxivClusteringP2P":44.31,"ArxivClusteringS2S":38.43,"BiorxivClusteringP2P":35.5,"BiorxivClusteringS2S":33.3,"MedrxivClusteringP2P":31.7,"MedrxivClusteringS2S":29.76,"RedditClustering":46.91,"RedditClusteringP2P":63.0,"StackExchangeClustering":58.37,"StackExchangeClusteringP2P":32.9,"TwentyNewsgroupsClustering":39.4}
|
@@ -115,7 +115,7 @@
|
|
115 |
{"index":109,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":40.88,"ArxivClusteringP2P":44.94,"ArxivClusteringS2S":35.87,"BiorxivClusteringP2P":35.68,"BiorxivClusteringS2S":30.47,"MedrxivClusteringP2P":30.79,"MedrxivClusteringS2S":27.95,"RedditClustering":50.47,"RedditClusteringP2P":60.54,"StackExchangeClustering":60.7,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":38.28}
|
116 |
{"index":190,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":40.86,"ArxivClusteringP2P":47.03,"ArxivClusteringS2S":38.38,"BiorxivClusteringP2P":38.98,"BiorxivClusteringS2S":34.94,"MedrxivClusteringP2P":33.98,"MedrxivClusteringS2S":31.67,"RedditClustering":42.72,"RedditClusteringP2P":56.93,"StackExchangeClustering":53.6,"StackExchangeClusteringP2P":32.87,"TwentyNewsgroupsClustering":38.38}
|
117 |
{"index":66,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse\">LLM2Vec-Llama-2-unsupervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":40.83,"ArxivClusteringP2P":47.81,"ArxivClusteringS2S":40.53,"BiorxivClusteringP2P":38.12,"BiorxivClusteringS2S":31.25,"MedrxivClusteringP2P":30.94,"MedrxivClusteringS2S":28.04,"RedditClustering":42.84,"RedditClusteringP2P":60.1,"StackExchangeClustering":65.12,"StackExchangeClusteringP2P":33.61,"TwentyNewsgroupsClustering":30.76}
|
118 |
-
{"index":144,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":
|
119 |
{"index":180,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":40.81,"ArxivClusteringP2P":45.66,"ArxivClusteringS2S":38.42,"BiorxivClusteringP2P":35.54,"BiorxivClusteringS2S":32.19,"MedrxivClusteringP2P":30.95,"MedrxivClusteringS2S":28.87,"RedditClustering":47.9,"RedditClusteringP2P":55.95,"StackExchangeClustering":60.27,"StackExchangeClusteringP2P":32.34,"TwentyNewsgroupsClustering":40.81}
|
120 |
{"index":178,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":40.74,"ArxivClusteringP2P":45.37,"ArxivClusteringS2S":36.52,"BiorxivClusteringP2P":36.52,"BiorxivClusteringS2S":31.98,"MedrxivClusteringP2P":31.71,"MedrxivClusteringS2S":28.8,"RedditClustering":49.71,"RedditClusteringP2P":55.07,"StackExchangeClustering":59.42,"StackExchangeClusteringP2P":31.7,"TwentyNewsgroupsClustering":41.29}
|
121 |
{"index":108,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":40.71,"ArxivClusteringP2P":44.95,"ArxivClusteringS2S":34.12,"BiorxivClusteringP2P":35.27,"BiorxivClusteringS2S":28.41,"MedrxivClusteringP2P":31.14,"MedrxivClusteringS2S":27.01,"RedditClustering":51.86,"RedditClusteringP2P":61.81,"StackExchangeClustering":61.24,"StackExchangeClusteringP2P":33.81,"TwentyNewsgroupsClustering":38.14}
|
@@ -136,14 +136,14 @@
|
|
136 |
{"index":81,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.54,"ArxivClusteringP2P":42.86,"ArxivClusteringS2S":32.48,"BiorxivClusteringP2P":36.83,"BiorxivClusteringS2S":29.24,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":30.8,"RedditClustering":48.28,"RedditClusteringP2P":53.56,"StackExchangeClustering":55.07,"StackExchangeClusteringP2P":31.92,"TwentyNewsgroupsClustering":41.37}
|
137 |
{"index":127,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.48,"ArxivClusteringP2P":45.31,"ArxivClusteringS2S":35.45,"BiorxivClusteringP2P":38.38,"BiorxivClusteringS2S":31.09,"MedrxivClusteringP2P":33.35,"MedrxivClusteringS2S":29.79,"RedditClustering":44.12,"RedditClusteringP2P":48.68,"StackExchangeClustering":53.11,"StackExchangeClusteringP2P":33.91,"TwentyNewsgroupsClustering":41.13}
|
138 |
{"index":111,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.46,"ArxivClusteringP2P":44.6,"ArxivClusteringS2S":34.48,"BiorxivClusteringP2P":37.13,"BiorxivClusteringS2S":29.72,"MedrxivClusteringP2P":31.98,"MedrxivClusteringS2S":29.26,"RedditClustering":45.27,"RedditClusteringP2P":54.47,"StackExchangeClustering":53.11,"StackExchangeClusteringP2P":34.67,"TwentyNewsgroupsClustering":39.37}
|
139 |
-
{"index":
|
140 |
-
{"index":
|
141 |
{"index":112,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.18,"ArxivClusteringP2P":44.53,"ArxivClusteringS2S":33.25,"BiorxivClusteringP2P":36.11,"BiorxivClusteringS2S":28.06,"MedrxivClusteringP2P":31.56,"MedrxivClusteringS2S":28.13,"RedditClustering":45.46,"RedditClusteringP2P":55.16,"StackExchangeClustering":54.51,"StackExchangeClusteringP2P":34.07,"TwentyNewsgroupsClustering":40.19}
|
142 |
{"index":59,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.16,"ArxivClusteringP2P":41.76,"ArxivClusteringS2S":31.63,"BiorxivClusteringP2P":36.01,"BiorxivClusteringS2S":28.77,"MedrxivClusteringP2P":31.27,"MedrxivClusteringS2S":28.97,"RedditClustering":47.39,"RedditClusteringP2P":58.38,"StackExchangeClustering":52.47,"StackExchangeClusteringP2P":33.63,"TwentyNewsgroupsClustering":40.52}
|
143 |
{"index":177,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":39.11,"ArxivClusteringP2P":44.52,"ArxivClusteringS2S":34.45,"BiorxivClusteringP2P":35.25,"BiorxivClusteringS2S":30.71,"MedrxivClusteringP2P":29.43,"MedrxivClusteringS2S":28.87,"RedditClustering":44.52,"RedditClusteringP2P":53.61,"StackExchangeClustering":57.11,"StackExchangeClusteringP2P":31.91,"TwentyNewsgroupsClustering":39.8}
|
144 |
-
{"index":
|
145 |
-
{"index":
|
146 |
-
{"index":
|
147 |
{"index":133,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":38.93,"ArxivClusteringP2P":44.59,"ArxivClusteringS2S":38.03,"BiorxivClusteringP2P":36.03,"BiorxivClusteringS2S":32.48,"MedrxivClusteringP2P":31.05,"MedrxivClusteringS2S":29.26,"RedditClustering":35.53,"RedditClusteringP2P":54.52,"StackExchangeClustering":55.13,"StackExchangeClusteringP2P":34.31,"TwentyNewsgroupsClustering":37.28}
|
148 |
{"index":110,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":38.86,"ArxivClusteringP2P":43.5,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.48,"BiorxivClusteringS2S":26.14,"MedrxivClusteringP2P":30.57,"MedrxivClusteringS2S":26.22,"RedditClustering":48.32,"RedditClusteringP2P":57.84,"StackExchangeClustering":57.49,"StackExchangeClusteringP2P":34.58,"TwentyNewsgroupsClustering":36.28}
|
149 |
{"index":245,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":38.63,"ArxivClusteringP2P":35.49,"ArxivClusteringS2S":27.18,"BiorxivClusteringP2P":27.66,"BiorxivClusteringS2S":23.25,"MedrxivClusteringP2P":27.57,"MedrxivClusteringS2S":25.13,"RedditClustering":56.13,"RedditClusteringP2P":58.53,"StackExchangeClustering":64.21,"StackExchangeClusteringP2P":33.01,"TwentyNewsgroupsClustering":46.72}
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@@ -157,7 +157,7 @@
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|
157 |
{"index":291,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":37.52,"ArxivClusteringP2P":41.49,"ArxivClusteringS2S":28.47,"BiorxivClusteringP2P":36.86,"BiorxivClusteringS2S":27.55,"MedrxivClusteringP2P":31.09,"MedrxivClusteringS2S":26.5,"RedditClustering":42.47,"RedditClusteringP2P":58.1,"StackExchangeClustering":53.52,"StackExchangeClusteringP2P":30.43,"TwentyNewsgroupsClustering":36.26}
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158 |
{"index":72,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":37.45,"ArxivClusteringP2P":42.92,"ArxivClusteringS2S":35.2,"BiorxivClusteringP2P":35.02,"BiorxivClusteringS2S":27.21,"MedrxivClusteringP2P":30.15,"MedrxivClusteringS2S":26.96,"RedditClustering":38.67,"RedditClusteringP2P":53.42,"StackExchangeClustering":59.35,"StackExchangeClusteringP2P":31.47,"TwentyNewsgroupsClustering":31.54}
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159 |
{"index":174,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.22,"ArxivClusteringP2P":39.22,"ArxivClusteringS2S":30.8,"BiorxivClusteringP2P":35.84,"BiorxivClusteringS2S":27.35,"MedrxivClusteringP2P":30.72,"MedrxivClusteringS2S":27.0,"RedditClustering":40.12,"RedditClusteringP2P":59.49,"StackExchangeClustering":53.32,"StackExchangeClusteringP2P":31.87,"TwentyNewsgroupsClustering":33.67}
|
160 |
-
{"index":183,"Rank":160,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":
|
161 |
{"index":251,"Rank":161,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.15,"ArxivClusteringP2P":38.33,"ArxivClusteringS2S":31.55,"BiorxivClusteringP2P":33.79,"BiorxivClusteringS2S":29.41,"MedrxivClusteringP2P":31.0,"MedrxivClusteringS2S":30.85,"RedditClustering":42.64,"RedditClusteringP2P":50.1,"StackExchangeClustering":49.29,"StackExchangeClusteringP2P":31.67,"TwentyNewsgroupsClustering":39.99}
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162 |
{"index":64,"Rank":162,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.08,"ArxivClusteringP2P":39.22,"ArxivClusteringS2S":30.8,"BiorxivClusteringP2P":35.75,"BiorxivClusteringS2S":27.05,"MedrxivClusteringP2P":30.9,"MedrxivClusteringS2S":27.26,"RedditClustering":39.13,"RedditClusteringP2P":58.98,"StackExchangeClustering":53.52,"StackExchangeClusteringP2P":32.07,"TwentyNewsgroupsClustering":33.22}
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163 |
{"index":89,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":36.98,"ArxivClusteringP2P":40.55,"ArxivClusteringS2S":32.49,"BiorxivClusteringP2P":33.59,"BiorxivClusteringS2S":29.13,"MedrxivClusteringP2P":30.33,"MedrxivClusteringS2S":28.02,"RedditClustering":42.17,"RedditClusteringP2P":48.02,"StackExchangeClustering":54.13,"StackExchangeClusteringP2P":31.12,"TwentyNewsgroupsClustering":37.2}
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27 |
{"index":264,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.84,"ArxivClusteringP2P":48.62,"ArxivClusteringS2S":43.36,"BiorxivClusteringP2P":39.11,"BiorxivClusteringS2S":36.85,"MedrxivClusteringP2P":33.39,"MedrxivClusteringS2S":31.76,"RedditClustering":60.83,"RedditClusteringP2P":64.24,"StackExchangeClustering":67.64,"StackExchangeClusteringP2P":36.57,"TwentyNewsgroupsClustering":52.82}
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28 |
{"index":18,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.82,"ArxivClusteringP2P":47.51,"ArxivClusteringS2S":42.05,"BiorxivClusteringP2P":40.32,"BiorxivClusteringS2S":37.55,"MedrxivClusteringP2P":34.6,"MedrxivClusteringS2S":32.27,"RedditClustering":58.61,"RedditClusteringP2P":66.87,"StackExchangeClustering":68.93,"StackExchangeClusteringP2P":37.6,"TwentyNewsgroupsClustering":48.75}
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29 |
{"index":114,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.73,"ArxivClusteringP2P":49.03,"ArxivClusteringS2S":43.09,"BiorxivClusteringP2P":39.38,"BiorxivClusteringS2S":37.23,"MedrxivClusteringP2P":33.22,"MedrxivClusteringS2S":31.18,"RedditClustering":60.52,"RedditClusteringP2P":65.35,"StackExchangeClustering":66.54,"StackExchangeClusteringP2P":36.72,"TwentyNewsgroupsClustering":51.72}
|
30 |
+
{"index":201,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.71,"ArxivClusteringP2P":48.97,"ArxivClusteringS2S":42.98,"BiorxivClusteringP2P":39.92,"BiorxivClusteringS2S":36.73,"MedrxivClusteringP2P":33.44,"MedrxivClusteringS2S":31.66,"RedditClustering":60.22,"RedditClusteringP2P":65.29,"StackExchangeClustering":65.62,"StackExchangeClusteringP2P":35.78,"TwentyNewsgroupsClustering":53.21}
|
31 |
+
{"index":149,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dopeba\/mxbai-embed-large-v1-Q6_K-GGUF\">mxbai-embed-large-v1-Q6_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.71,"ArxivClusteringP2P":48.97,"ArxivClusteringS2S":42.98,"BiorxivClusteringP2P":39.92,"BiorxivClusteringS2S":36.73,"MedrxivClusteringP2P":33.44,"MedrxivClusteringS2S":31.66,"RedditClustering":60.22,"RedditClusteringP2P":65.29,"StackExchangeClustering":65.62,"StackExchangeClusteringP2P":35.78,"TwentyNewsgroupsClustering":53.21}
|
32 |
{"index":298,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":46.65,"ArxivClusteringP2P":46.57,"ArxivClusteringS2S":39.35,"BiorxivClusteringP2P":37.77,"BiorxivClusteringS2S":34.68,"MedrxivClusteringP2P":32.77,"MedrxivClusteringS2S":31.85,"RedditClustering":64.09,"RedditClusteringP2P":65.12,"StackExchangeClustering":72.05,"StackExchangeClusteringP2P":34.04,"TwentyNewsgroupsClustering":54.81}
|
33 |
{"index":181,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.61,"ArxivClusteringP2P":48.73,"ArxivClusteringS2S":42.87,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":37.24,"MedrxivClusteringP2P":34.31,"MedrxivClusteringS2S":32.18,"RedditClustering":59.43,"RedditClusteringP2P":64.54,"StackExchangeClustering":65.08,"StackExchangeClusteringP2P":35.52,"TwentyNewsgroupsClustering":53.12}
|
34 |
{"index":34,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":46.6,"ArxivClusteringP2P":48.16,"ArxivClusteringS2S":40.79,"BiorxivClusteringP2P":40.5,"BiorxivClusteringS2S":36.91,"MedrxivClusteringP2P":36.18,"MedrxivClusteringS2S":33.44,"RedditClustering":58.11,"RedditClusteringP2P":65.02,"StackExchangeClustering":68.12,"StackExchangeClusteringP2P":35.22,"TwentyNewsgroupsClustering":50.14}
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39 |
{"index":296,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":46.23,"ArxivClusteringP2P":47.05,"ArxivClusteringS2S":42.59,"BiorxivClusteringP2P":35.43,"BiorxivClusteringS2S":33.86,"MedrxivClusteringP2P":32.1,"MedrxivClusteringS2S":31.15,"RedditClustering":60.18,"RedditClusteringP2P":64.71,"StackExchangeClustering":71.23,"StackExchangeClusteringP2P":35.95,"TwentyNewsgroupsClustering":54.24}
|
40 |
{"index":126,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":46.21,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.74,"BiorxivClusteringP2P":39.04,"BiorxivClusteringS2S":36.67,"MedrxivClusteringP2P":33.92,"MedrxivClusteringS2S":32.25,"RedditClustering":59.11,"RedditClusteringP2P":62.44,"StackExchangeClustering":66.14,"StackExchangeClusteringP2P":35.59,"TwentyNewsgroupsClustering":52.16}
|
41 |
{"index":263,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":46.2,"ArxivClusteringP2P":48.6,"ArxivClusteringS2S":43.01,"BiorxivClusteringP2P":38.2,"BiorxivClusteringS2S":36.59,"MedrxivClusteringP2P":33.17,"MedrxivClusteringS2S":31.77,"RedditClustering":59.33,"RedditClusteringP2P":62.59,"StackExchangeClustering":66.64,"StackExchangeClusteringP2P":36.0,"TwentyNewsgroupsClustering":52.31}
|
42 |
+
{"index":23,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
43 |
{"index":228,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
44 |
+
{"index":229,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
45 |
{"index":200,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.07,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.34,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":36.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.22,"RedditClustering":57.93,"RedditClusteringP2P":62.47,"StackExchangeClustering":66.41,"StackExchangeClusteringP2P":35.32,"TwentyNewsgroupsClustering":51.48}
|
46 |
{"index":295,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":45.9,"ArxivClusteringP2P":45.01,"ArxivClusteringS2S":36.85,"BiorxivClusteringP2P":36.66,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":32.6,"MedrxivClusteringS2S":30.8,"RedditClustering":61.42,"RedditClusteringP2P":64.13,"StackExchangeClustering":72.22,"StackExchangeClusteringP2P":38.49,"TwentyNewsgroupsClustering":52.56}
|
47 |
{"index":21,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.81,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":36.62,"MedrxivClusteringP2P":33.21,"MedrxivClusteringS2S":31.68,"RedditClustering":56.61,"RedditClusteringP2P":62.66,"StackExchangeClustering":66.11,"StackExchangeClusteringP2P":35.24,"TwentyNewsgroupsClustering":50.75}
|
48 |
{"index":131,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
|
49 |
+
{"index":102,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.58,"ArxivClusteringP2P":48.58,"ArxivClusteringS2S":43.14,"BiorxivClusteringP2P":38.84,"BiorxivClusteringS2S":36.38,"MedrxivClusteringP2P":31.96,"MedrxivClusteringS2S":30.88,"RedditClustering":57.61,"RedditClusteringP2P":64.03,"StackExchangeClustering":65.54,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":50.41}
|
50 |
+
{"index":193,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":45.58,"ArxivClusteringP2P":48.58,"ArxivClusteringS2S":43.14,"BiorxivClusteringP2P":38.84,"BiorxivClusteringS2S":36.38,"MedrxivClusteringP2P":31.96,"MedrxivClusteringS2S":30.88,"RedditClustering":57.61,"RedditClusteringP2P":64.03,"StackExchangeClustering":65.54,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":50.41}
|
51 |
{"index":69,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":45.54,"ArxivClusteringP2P":42.81,"ArxivClusteringS2S":44.24,"BiorxivClusteringP2P":34.27,"BiorxivClusteringS2S":35.53,"MedrxivClusteringP2P":31.07,"MedrxivClusteringS2S":31.27,"RedditClustering":60.24,"RedditClusteringP2P":64.12,"StackExchangeClustering":70.73,"StackExchangeClusteringP2P":34.5,"TwentyNewsgroupsClustering":52.18}
|
52 |
{"index":161,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.29,"ArxivClusteringP2P":43.16,"ArxivClusteringS2S":32.56,"BiorxivClusteringP2P":37.62,"BiorxivClusteringS2S":31.33,"MedrxivClusteringP2P":34.22,"MedrxivClusteringS2S":32.0,"RedditClustering":63.65,"RedditClusteringP2P":64.63,"StackExchangeClustering":68.78,"StackExchangeClusteringP2P":36.15,"TwentyNewsgroupsClustering":54.13}
|
53 |
{"index":65,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":45.24,"ArxivClusteringP2P":43.14,"ArxivClusteringS2S":42.38,"BiorxivClusteringP2P":35.88,"BiorxivClusteringS2S":34.81,"MedrxivClusteringP2P":32.23,"MedrxivClusteringS2S":31.37,"RedditClustering":61.1,"RedditClusteringP2P":64.52,"StackExchangeClustering":67.98,"StackExchangeClusteringP2P":33.2,"TwentyNewsgroupsClustering":51.04}
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|
|
60 |
{"index":129,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":44.82,"ArxivClusteringP2P":47.62,"ArxivClusteringS2S":39.86,"BiorxivClusteringP2P":39.22,"BiorxivClusteringS2S":35.43,"MedrxivClusteringP2P":34.5,"MedrxivClusteringS2S":32.16,"RedditClustering":55.51,"RedditClusteringP2P":60.64,"StackExchangeClustering":61.91,"StackExchangeClusteringP2P":36.16,"TwentyNewsgroupsClustering":50.01}
|
61 |
{"index":162,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.74,"ArxivClusteringP2P":42.45,"ArxivClusteringS2S":32.21,"BiorxivClusteringP2P":37.37,"BiorxivClusteringS2S":30.55,"MedrxivClusteringP2P":33.19,"MedrxivClusteringS2S":30.79,"RedditClustering":63.49,"RedditClusteringP2P":65.13,"StackExchangeClustering":68.44,"StackExchangeClusteringP2P":35.17,"TwentyNewsgroupsClustering":53.38}
|
62 |
{"index":31,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.64,"ArxivClusteringP2P":46.19,"ArxivClusteringS2S":37.58,"BiorxivClusteringP2P":38.97,"BiorxivClusteringS2S":34.52,"MedrxivClusteringP2P":37.66,"MedrxivClusteringS2S":33.54,"RedditClustering":53.5,"RedditClusteringP2P":63.59,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":36.48,"TwentyNewsgroupsClustering":46.06}
|
63 |
+
{"index":119,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":44.62,"ArxivClusteringP2P":46.18,"ArxivClusteringS2S":38.95,"BiorxivClusteringP2P":37.41,"BiorxivClusteringS2S":34.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.24,"RedditClustering":57.02,"RedditClusteringP2P":63.4,"StackExchangeClustering":63.53,"StackExchangeClusteringP2P":34.48,"TwentyNewsgroupsClustering":49.01}
|
64 |
+
{"index":57,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":44.62,"ArxivClusteringP2P":46.18,"ArxivClusteringS2S":38.95,"BiorxivClusteringP2P":37.41,"BiorxivClusteringS2S":34.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.24,"RedditClustering":57.02,"RedditClusteringP2P":63.4,"StackExchangeClustering":63.53,"StackExchangeClusteringP2P":34.48,"TwentyNewsgroupsClustering":49.01}
|
65 |
{"index":53,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.49,"ArxivClusteringP2P":45.55,"ArxivClusteringS2S":41.02,"BiorxivClusteringP2P":37.36,"BiorxivClusteringS2S":34.85,"MedrxivClusteringP2P":31.82,"MedrxivClusteringS2S":30.38,"RedditClustering":55.83,"RedditClusteringP2P":63.38,"StackExchangeClustering":65.92,"StackExchangeClusteringP2P":33.67,"TwentyNewsgroupsClustering":49.6}
|
66 |
{"index":20,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":44.31,"ArxivClusteringP2P":46.02,"ArxivClusteringS2S":41.07,"BiorxivClusteringP2P":37.59,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":33.05,"MedrxivClusteringS2S":31.97,"RedditClustering":55.72,"RedditClusteringP2P":62.25,"StackExchangeClustering":63.42,"StackExchangeClusteringP2P":31.71,"TwentyNewsgroupsClustering":50.35}
|
67 |
{"index":167,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":44.26,"ArxivClusteringP2P":45.55,"ArxivClusteringS2S":41.02,"BiorxivClusteringP2P":36.72,"BiorxivClusteringS2S":35.47,"MedrxivClusteringP2P":31.45,"MedrxivClusteringS2S":29.91,"RedditClustering":55.5,"RedditClusteringP2P":63.71,"StackExchangeClustering":65.23,"StackExchangeClusteringP2P":33.62,"TwentyNewsgroupsClustering":48.73}
|
68 |
{"index":165,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.1,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.12,"BiorxivClusteringS2S":33.41,"MedrxivClusteringP2P":31.82,"MedrxivClusteringS2S":29.68,"RedditClustering":56.54,"RedditClusteringP2P":63.23,"StackExchangeClustering":64.6,"StackExchangeClusteringP2P":33.02,"TwentyNewsgroupsClustering":49.86}
|
69 |
+
{"index":217,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
70 |
{"index":117,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
71 |
+
{"index":98,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
72 |
+
{"index":285,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
73 |
{"index":210,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
|
74 |
{"index":26,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":43.82,"ArxivClusteringP2P":47.4,"ArxivClusteringS2S":40.02,"BiorxivClusteringP2P":38.47,"BiorxivClusteringS2S":34.72,"MedrxivClusteringP2P":33.06,"MedrxivClusteringS2S":30.86,"RedditClustering":52.32,"RedditClusteringP2P":60.64,"StackExchangeClustering":60.78,"StackExchangeClusteringP2P":35.27,"TwentyNewsgroupsClustering":48.52}
|
75 |
{"index":153,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":43.8,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.5,"BiorxivClusteringS2S":32.72,"MedrxivClusteringP2P":31.46,"MedrxivClusteringS2S":28.99,"RedditClustering":56.16,"RedditClusteringP2P":63.43,"StackExchangeClustering":65.15,"StackExchangeClusteringP2P":32.5,"TwentyNewsgroupsClustering":48.16}
|
|
|
104 |
{"index":274,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":41.73,"ArxivClusteringP2P":45.39,"ArxivClusteringS2S":36.68,"BiorxivClusteringP2P":37.05,"BiorxivClusteringS2S":30.16,"MedrxivClusteringP2P":32.41,"MedrxivClusteringS2S":28.09,"RedditClustering":53.05,"RedditClusteringP2P":60.31,"StackExchangeClustering":58.52,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":42.46}
|
105 |
{"index":254,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":41.65,"ArxivClusteringP2P":41.62,"ArxivClusteringS2S":29.44,"BiorxivClusteringP2P":35.99,"BiorxivClusteringS2S":24.02,"MedrxivClusteringP2P":32.4,"MedrxivClusteringS2S":26.33,"RedditClustering":54.53,"RedditClusteringP2P":62.5,"StackExchangeClustering":65.11,"StackExchangeClusteringP2P":36.86,"TwentyNewsgroupsClustering":49.33}
|
106 |
{"index":246,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":41.6,"ArxivClusteringP2P":37.5,"ArxivClusteringS2S":30.55,"BiorxivClusteringP2P":29.59,"BiorxivClusteringS2S":25.72,"MedrxivClusteringP2P":28.72,"MedrxivClusteringS2S":27.39,"RedditClustering":61.69,"RedditClusteringP2P":61.67,"StackExchangeClustering":69.93,"StackExchangeClusteringP2P":33.21,"TwentyNewsgroupsClustering":51.64}
|
107 |
+
{"index":279,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":41.51,"ArxivClusteringP2P":45.56,"ArxivClusteringS2S":35.61,"BiorxivClusteringP2P":36.16,"BiorxivClusteringS2S":30.14,"MedrxivClusteringP2P":31.12,"MedrxivClusteringS2S":26.73,"RedditClustering":50.24,"RedditClusteringP2P":61.45,"StackExchangeClustering":62.63,"StackExchangeClusteringP2P":37.17,"TwentyNewsgroupsClustering":39.83}
|
108 |
+
{"index":107,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":41.51,"ArxivClusteringP2P":45.56,"ArxivClusteringS2S":35.61,"BiorxivClusteringP2P":36.16,"BiorxivClusteringS2S":30.14,"MedrxivClusteringP2P":31.12,"MedrxivClusteringS2S":26.73,"RedditClustering":50.24,"RedditClusteringP2P":61.45,"StackExchangeClustering":62.63,"StackExchangeClusteringP2P":37.17,"TwentyNewsgroupsClustering":39.83}
|
109 |
{"index":247,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":41.51,"ArxivClusteringP2P":37.9,"ArxivClusteringS2S":30.45,"BiorxivClusteringP2P":30.52,"BiorxivClusteringS2S":26.06,"MedrxivClusteringP2P":28.69,"MedrxivClusteringS2S":26.69,"RedditClustering":61.34,"RedditClusteringP2P":61.11,"StackExchangeClustering":69.95,"StackExchangeClusteringP2P":32.73,"TwentyNewsgroupsClustering":51.15}
|
110 |
{"index":105,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"Embedding Dimensions":1024,"Max Tokens":512,"Average":41.49,"ArxivClusteringP2P":47.46,"ArxivClusteringS2S":38.29,"BiorxivClusteringP2P":37.54,"BiorxivClusteringS2S":32.65,"MedrxivClusteringP2P":31.47,"MedrxivClusteringS2S":28.94,"RedditClustering":46.02,"RedditClusteringP2P":62.43,"StackExchangeClustering":57.86,"StackExchangeClusteringP2P":37.82,"TwentyNewsgroupsClustering":35.91}
|
111 |
{"index":172,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":41.23,"ArxivClusteringP2P":44.31,"ArxivClusteringS2S":38.43,"BiorxivClusteringP2P":35.5,"BiorxivClusteringS2S":33.3,"MedrxivClusteringP2P":31.7,"MedrxivClusteringS2S":29.76,"RedditClustering":46.91,"RedditClusteringP2P":63.0,"StackExchangeClustering":58.37,"StackExchangeClusteringP2P":32.9,"TwentyNewsgroupsClustering":39.4}
|
|
|
115 |
{"index":109,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":40.88,"ArxivClusteringP2P":44.94,"ArxivClusteringS2S":35.87,"BiorxivClusteringP2P":35.68,"BiorxivClusteringS2S":30.47,"MedrxivClusteringP2P":30.79,"MedrxivClusteringS2S":27.95,"RedditClustering":50.47,"RedditClusteringP2P":60.54,"StackExchangeClustering":60.7,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":38.28}
|
116 |
{"index":190,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":40.86,"ArxivClusteringP2P":47.03,"ArxivClusteringS2S":38.38,"BiorxivClusteringP2P":38.98,"BiorxivClusteringS2S":34.94,"MedrxivClusteringP2P":33.98,"MedrxivClusteringS2S":31.67,"RedditClustering":42.72,"RedditClusteringP2P":56.93,"StackExchangeClustering":53.6,"StackExchangeClusteringP2P":32.87,"TwentyNewsgroupsClustering":38.38}
|
117 |
{"index":66,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse\">LLM2Vec-Llama-2-unsupervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":40.83,"ArxivClusteringP2P":47.81,"ArxivClusteringS2S":40.53,"BiorxivClusteringP2P":38.12,"BiorxivClusteringS2S":31.25,"MedrxivClusteringP2P":30.94,"MedrxivClusteringS2S":28.04,"RedditClustering":42.84,"RedditClusteringP2P":60.1,"StackExchangeClustering":65.12,"StackExchangeClusteringP2P":33.61,"TwentyNewsgroupsClustering":30.76}
|
118 |
+
{"index":144,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":40.83,"ArxivClusteringP2P":42.9,"ArxivClusteringS2S":32.45,"BiorxivClusteringP2P":37.24,"BiorxivClusteringS2S":29.75,"MedrxivClusteringP2P":36.65,"MedrxivClusteringS2S":32.57,"RedditClustering":50.62,"RedditClusteringP2P":54.44,"StackExchangeClustering":54.26,"StackExchangeClusteringP2P":32.52,"TwentyNewsgroupsClustering":45.7}
|
119 |
{"index":180,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":40.81,"ArxivClusteringP2P":45.66,"ArxivClusteringS2S":38.42,"BiorxivClusteringP2P":35.54,"BiorxivClusteringS2S":32.19,"MedrxivClusteringP2P":30.95,"MedrxivClusteringS2S":28.87,"RedditClustering":47.9,"RedditClusteringP2P":55.95,"StackExchangeClustering":60.27,"StackExchangeClusteringP2P":32.34,"TwentyNewsgroupsClustering":40.81}
|
120 |
{"index":178,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":40.74,"ArxivClusteringP2P":45.37,"ArxivClusteringS2S":36.52,"BiorxivClusteringP2P":36.52,"BiorxivClusteringS2S":31.98,"MedrxivClusteringP2P":31.71,"MedrxivClusteringS2S":28.8,"RedditClustering":49.71,"RedditClusteringP2P":55.07,"StackExchangeClustering":59.42,"StackExchangeClusteringP2P":31.7,"TwentyNewsgroupsClustering":41.29}
|
121 |
{"index":108,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":40.71,"ArxivClusteringP2P":44.95,"ArxivClusteringS2S":34.12,"BiorxivClusteringP2P":35.27,"BiorxivClusteringS2S":28.41,"MedrxivClusteringP2P":31.14,"MedrxivClusteringS2S":27.01,"RedditClustering":51.86,"RedditClusteringP2P":61.81,"StackExchangeClustering":61.24,"StackExchangeClusteringP2P":33.81,"TwentyNewsgroupsClustering":38.14}
|
|
|
136 |
{"index":81,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.54,"ArxivClusteringP2P":42.86,"ArxivClusteringS2S":32.48,"BiorxivClusteringP2P":36.83,"BiorxivClusteringS2S":29.24,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":30.8,"RedditClustering":48.28,"RedditClusteringP2P":53.56,"StackExchangeClustering":55.07,"StackExchangeClusteringP2P":31.92,"TwentyNewsgroupsClustering":41.37}
|
137 |
{"index":127,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.48,"ArxivClusteringP2P":45.31,"ArxivClusteringS2S":35.45,"BiorxivClusteringP2P":38.38,"BiorxivClusteringS2S":31.09,"MedrxivClusteringP2P":33.35,"MedrxivClusteringS2S":29.79,"RedditClustering":44.12,"RedditClusteringP2P":48.68,"StackExchangeClustering":53.11,"StackExchangeClusteringP2P":33.91,"TwentyNewsgroupsClustering":41.13}
|
138 |
{"index":111,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.46,"ArxivClusteringP2P":44.6,"ArxivClusteringS2S":34.48,"BiorxivClusteringP2P":37.13,"BiorxivClusteringS2S":29.72,"MedrxivClusteringP2P":31.98,"MedrxivClusteringS2S":29.26,"RedditClustering":45.27,"RedditClusteringP2P":54.47,"StackExchangeClustering":53.11,"StackExchangeClusteringP2P":34.67,"TwentyNewsgroupsClustering":39.37}
|
139 |
+
{"index":223,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.29,"ArxivClusteringP2P":41.55,"ArxivClusteringS2S":32.19,"BiorxivClusteringP2P":35.17,"BiorxivClusteringS2S":28.89,"MedrxivClusteringP2P":32.19,"MedrxivClusteringS2S":28.78,"RedditClustering":48.28,"RedditClusteringP2P":56.03,"StackExchangeClustering":55.39,"StackExchangeClusteringP2P":33.57,"TwentyNewsgroupsClustering":40.2}
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140 |
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{"index":187,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":39.29,"ArxivClusteringP2P":41.55,"ArxivClusteringS2S":32.19,"BiorxivClusteringP2P":35.17,"BiorxivClusteringS2S":28.89,"MedrxivClusteringP2P":32.19,"MedrxivClusteringS2S":28.78,"RedditClustering":48.28,"RedditClusteringP2P":56.03,"StackExchangeClustering":55.39,"StackExchangeClusteringP2P":33.57,"TwentyNewsgroupsClustering":40.2}
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141 |
{"index":112,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.18,"ArxivClusteringP2P":44.53,"ArxivClusteringS2S":33.25,"BiorxivClusteringP2P":36.11,"BiorxivClusteringS2S":28.06,"MedrxivClusteringP2P":31.56,"MedrxivClusteringS2S":28.13,"RedditClustering":45.46,"RedditClusteringP2P":55.16,"StackExchangeClustering":54.51,"StackExchangeClusteringP2P":34.07,"TwentyNewsgroupsClustering":40.19}
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142 |
{"index":59,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.16,"ArxivClusteringP2P":41.76,"ArxivClusteringS2S":31.63,"BiorxivClusteringP2P":36.01,"BiorxivClusteringS2S":28.77,"MedrxivClusteringP2P":31.27,"MedrxivClusteringS2S":28.97,"RedditClustering":47.39,"RedditClusteringP2P":58.38,"StackExchangeClustering":52.47,"StackExchangeClusteringP2P":33.63,"TwentyNewsgroupsClustering":40.52}
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143 |
{"index":177,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":39.11,"ArxivClusteringP2P":44.52,"ArxivClusteringS2S":34.45,"BiorxivClusteringP2P":35.25,"BiorxivClusteringS2S":30.71,"MedrxivClusteringP2P":29.43,"MedrxivClusteringS2S":28.87,"RedditClustering":44.52,"RedditClusteringP2P":53.61,"StackExchangeClustering":57.11,"StackExchangeClusteringP2P":31.91,"TwentyNewsgroupsClustering":39.8}
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144 |
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{"index":61,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
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145 |
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{"index":185,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
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146 |
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{"index":136,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
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147 |
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148 |
{"index":110,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":38.86,"ArxivClusteringP2P":43.5,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.48,"BiorxivClusteringS2S":26.14,"MedrxivClusteringP2P":30.57,"MedrxivClusteringS2S":26.22,"RedditClustering":48.32,"RedditClusteringP2P":57.84,"StackExchangeClustering":57.49,"StackExchangeClusteringP2P":34.58,"TwentyNewsgroupsClustering":36.28}
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149 |
{"index":245,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":38.63,"ArxivClusteringP2P":35.49,"ArxivClusteringS2S":27.18,"BiorxivClusteringP2P":27.66,"BiorxivClusteringS2S":23.25,"MedrxivClusteringP2P":27.57,"MedrxivClusteringS2S":25.13,"RedditClustering":56.13,"RedditClusteringP2P":58.53,"StackExchangeClustering":64.21,"StackExchangeClusteringP2P":33.01,"TwentyNewsgroupsClustering":46.72}
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|
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157 |
{"index":291,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":37.52,"ArxivClusteringP2P":41.49,"ArxivClusteringS2S":28.47,"BiorxivClusteringP2P":36.86,"BiorxivClusteringS2S":27.55,"MedrxivClusteringP2P":31.09,"MedrxivClusteringS2S":26.5,"RedditClustering":42.47,"RedditClusteringP2P":58.1,"StackExchangeClustering":53.52,"StackExchangeClusteringP2P":30.43,"TwentyNewsgroupsClustering":36.26}
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158 |
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|
159 |
{"index":174,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.22,"ArxivClusteringP2P":39.22,"ArxivClusteringS2S":30.8,"BiorxivClusteringP2P":35.84,"BiorxivClusteringS2S":27.35,"MedrxivClusteringP2P":30.72,"MedrxivClusteringS2S":27.0,"RedditClustering":40.12,"RedditClusteringP2P":59.49,"StackExchangeClustering":53.32,"StackExchangeClusteringP2P":31.87,"TwentyNewsgroupsClustering":33.67}
|
160 |
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{"index":183,"Rank":160,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":37.15,"ArxivClusteringP2P":40.51,"ArxivClusteringS2S":31.58,"BiorxivClusteringP2P":33.56,"BiorxivClusteringS2S":28.44,"MedrxivClusteringP2P":30.12,"MedrxivClusteringS2S":25.26,"RedditClustering":45.05,"RedditClusteringP2P":55.14,"StackExchangeClustering":45.24,"StackExchangeClusteringP2P":33.37,"TwentyNewsgroupsClustering":40.42}
|
161 |
{"index":251,"Rank":161,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.15,"ArxivClusteringP2P":38.33,"ArxivClusteringS2S":31.55,"BiorxivClusteringP2P":33.79,"BiorxivClusteringS2S":29.41,"MedrxivClusteringP2P":31.0,"MedrxivClusteringS2S":30.85,"RedditClustering":42.64,"RedditClusteringP2P":50.1,"StackExchangeClustering":49.29,"StackExchangeClusteringP2P":31.67,"TwentyNewsgroupsClustering":39.99}
|
162 |
{"index":64,"Rank":162,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.08,"ArxivClusteringP2P":39.22,"ArxivClusteringS2S":30.8,"BiorxivClusteringP2P":35.75,"BiorxivClusteringS2S":27.05,"MedrxivClusteringP2P":30.9,"MedrxivClusteringS2S":27.26,"RedditClustering":39.13,"RedditClusteringP2P":58.98,"StackExchangeClustering":53.52,"StackExchangeClusteringP2P":32.07,"TwentyNewsgroupsClustering":33.22}
|
163 |
{"index":89,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":36.98,"ArxivClusteringP2P":40.55,"ArxivClusteringS2S":32.49,"BiorxivClusteringP2P":33.59,"BiorxivClusteringS2S":29.13,"MedrxivClusteringP2P":30.33,"MedrxivClusteringS2S":28.02,"RedditClustering":42.17,"RedditClusteringP2P":48.02,"StackExchangeClustering":54.13,"StackExchangeClusteringP2P":31.12,"TwentyNewsgroupsClustering":37.2}
|
all_data_tasks/10/default.jsonl
CHANGED
@@ -23,8 +23,8 @@
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|
23 |
{"index":292,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
|
24 |
{"index":211,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
|
25 |
{"index":188,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":82.68,"Cmnli":86.85,"Ocnli":78.51}
|
26 |
-
{"index":
|
27 |
-
{"index":
|
28 |
{"index":37,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.3,"Ocnli":77.46}
|
29 |
{"index":38,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.55,"Ocnli":77.21}
|
30 |
{"index":331,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":82.35,"Cmnli":85.33,"Ocnli":79.37}
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@@ -51,8 +51,8 @@
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|
51 |
{"index":193,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":72.19,"Cmnli":80.21,"Ocnli":64.18}
|
52 |
{"index":53,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":71.16,"Cmnli":77.85,"Ocnli":64.47}
|
53 |
{"index":34,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":70.4,"Cmnli":76.24,"Ocnli":64.57}
|
54 |
-
{"index":
|
55 |
-
{"index":
|
56 |
{"index":197,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":69.89,"Cmnli":78.18,"Ocnli":61.6}
|
57 |
{"index":327,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":69.56,"Cmnli":76.04,"Ocnli":63.08}
|
58 |
{"index":285,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":68.76,"Cmnli":75.67,"Ocnli":61.85}
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|
23 |
{"index":292,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
|
24 |
{"index":211,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
|
25 |
{"index":188,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":82.68,"Cmnli":86.85,"Ocnli":78.51}
|
26 |
+
{"index":21,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
|
27 |
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{"index":22,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
|
28 |
{"index":37,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.3,"Ocnli":77.46}
|
29 |
{"index":38,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.55,"Ocnli":77.21}
|
30 |
{"index":331,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":82.35,"Cmnli":85.33,"Ocnli":79.37}
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51 |
{"index":193,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":72.19,"Cmnli":80.21,"Ocnli":64.18}
|
52 |
{"index":53,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":71.16,"Cmnli":77.85,"Ocnli":64.47}
|
53 |
{"index":34,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":70.4,"Cmnli":76.24,"Ocnli":64.57}
|
54 |
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{"index":300,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":70.0,"Cmnli":76.46,"Ocnli":63.54}
|
55 |
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{"index":302,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":70.0,"Cmnli":76.46,"Ocnli":63.54}
|
56 |
{"index":197,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":69.89,"Cmnli":78.18,"Ocnli":61.6}
|
57 |
{"index":327,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":69.56,"Cmnli":76.04,"Ocnli":63.08}
|
58 |
{"index":285,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":68.76,"Cmnli":75.67,"Ocnli":61.85}
|
all_data_tasks/11/default.jsonl
CHANGED
@@ -30,8 +30,8 @@
|
|
30 |
{"index":214,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":67.34,"CMedQAv1":87.12,"CMedQAv2":87.57,"MMarcoReranking":28.08,"T2Reranking":66.6}
|
31 |
{"index":43,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh\">Dmeta-embedding-zh<\/a>","Model Size (Million Parameters)":103,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":1024,"Average":67.17,"CMedQAv1":88.49,"CMedQAv2":89.18,"MMarcoReranking":24.76,"T2Reranking":66.26}
|
32 |
{"index":156,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/corto-ai\/bge-reranker-large-onnx\">bge-reranker-large-onnx<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.03,"CMedQAv1":81.27,"CMedQAv2":84.1,"MMarcoReranking":35.46,"T2Reranking":67.28}
|
33 |
-
{"index":
|
34 |
-
{"index":
|
35 |
{"index":296,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base-zh\">gte-base-zh<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.0,"CMedQAv1":86.79,"CMedQAv2":87.2,"MMarcoReranking":27.64,"T2Reranking":66.36}
|
36 |
{"index":184,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":66.95,"CMedQAv1":85.69,"CMedQAv2":86.46,"MMarcoReranking":29.2,"T2Reranking":66.46}
|
37 |
{"index":44,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh-small\">Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Embedding Dimensions":768,"Max Tokens":1024,"Average":66.92,"CMedQAv1":86.78,"CMedQAv2":87.39,"MMarcoReranking":27.39,"T2Reranking":66.11}
|
@@ -42,11 +42,11 @@
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|
42 |
{"index":21,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":66.39,"CMedQAv1":85.34,"CMedQAv2":85.87,"MMarcoReranking":27.96,"T2Reranking":66.38}
|
43 |
{"index":15,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":66.38,"CMedQAv1":86.37,"CMedQAv2":87.41,"MMarcoReranking":23.64,"T2Reranking":68.11}
|
44 |
{"index":22,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":66.38,"CMedQAv1":85.34,"CMedQAv2":85.81,"MMarcoReranking":27.97,"T2Reranking":66.38}
|
45 |
-
{"index":
|
46 |
-
{"index":
|
47 |
{"index":185,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":66.1,"CMedQAv1":84.7,"CMedQAv2":85.31,"MMarcoReranking":28.05,"T2Reranking":66.35}
|
48 |
-
{"index":
|
49 |
-
{"index":
|
50 |
{"index":187,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":65.98,"CMedQAv1":84.69,"CMedQAv2":85.23,"MMarcoReranking":27.16,"T2Reranking":66.86}
|
51 |
{"index":263,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":65.98,"CMedQAv1":84.79,"CMedQAv2":84.89,"MMarcoReranking":27.27,"T2Reranking":66.96}
|
52 |
{"index":51,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average":65.89,"CMedQAv1":84.67,"CMedQAv2":85.27,"MMarcoReranking":27.84,"T2Reranking":65.79}
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|
|
30 |
{"index":214,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":67.34,"CMedQAv1":87.12,"CMedQAv2":87.57,"MMarcoReranking":28.08,"T2Reranking":66.6}
|
31 |
{"index":43,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh\">Dmeta-embedding-zh<\/a>","Model Size (Million Parameters)":103,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":1024,"Average":67.17,"CMedQAv1":88.49,"CMedQAv2":89.18,"MMarcoReranking":24.76,"T2Reranking":66.26}
|
32 |
{"index":156,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/corto-ai\/bge-reranker-large-onnx\">bge-reranker-large-onnx<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.03,"CMedQAv1":81.27,"CMedQAv2":84.1,"MMarcoReranking":35.46,"T2Reranking":67.28}
|
33 |
+
{"index":31,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-reranker-base\">bge-reranker-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":67.03,"CMedQAv1":81.27,"CMedQAv2":84.1,"MMarcoReranking":35.46,"T2Reranking":67.28}
|
34 |
+
{"index":32,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-reranker-large\">bge-reranker-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":67.03,"CMedQAv1":81.27,"CMedQAv2":84.1,"MMarcoReranking":35.46,"T2Reranking":67.28}
|
35 |
{"index":296,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base-zh\">gte-base-zh<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.0,"CMedQAv1":86.79,"CMedQAv2":87.2,"MMarcoReranking":27.64,"T2Reranking":66.36}
|
36 |
{"index":184,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":66.95,"CMedQAv1":85.69,"CMedQAv2":86.46,"MMarcoReranking":29.2,"T2Reranking":66.46}
|
37 |
{"index":44,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh-small\">Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Embedding Dimensions":768,"Max Tokens":1024,"Average":66.92,"CMedQAv1":86.78,"CMedQAv2":87.39,"MMarcoReranking":27.39,"T2Reranking":66.11}
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|
42 |
{"index":21,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":66.39,"CMedQAv1":85.34,"CMedQAv2":85.87,"MMarcoReranking":27.96,"T2Reranking":66.38}
|
43 |
{"index":15,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":66.38,"CMedQAv1":86.37,"CMedQAv2":87.41,"MMarcoReranking":23.64,"T2Reranking":68.11}
|
44 |
{"index":22,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":66.38,"CMedQAv1":85.34,"CMedQAv2":85.81,"MMarcoReranking":27.97,"T2Reranking":66.38}
|
45 |
+
{"index":300,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":66.22,"CMedQAv1":86.08,"CMedQAv2":87.26,"MMarcoReranking":26.13,"T2Reranking":65.39}
|
46 |
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{"index":302,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":66.22,"CMedQAv1":86.08,"CMedQAv2":87.26,"MMarcoReranking":26.13,"T2Reranking":65.39}
|
47 |
{"index":185,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":66.1,"CMedQAv1":84.7,"CMedQAv2":85.31,"MMarcoReranking":28.05,"T2Reranking":66.35}
|
48 |
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{"index":311,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":66.04,"CMedQAv1":86.1,"CMedQAv2":86.95,"MMarcoReranking":24.26,"T2Reranking":66.83}
|
49 |
+
{"index":136,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/akarum\/cloudy-large-zh\">cloudy-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":66.04,"CMedQAv1":86.1,"CMedQAv2":86.95,"MMarcoReranking":24.26,"T2Reranking":66.83}
|
50 |
{"index":187,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":65.98,"CMedQAv1":84.69,"CMedQAv2":85.23,"MMarcoReranking":27.16,"T2Reranking":66.86}
|
51 |
{"index":263,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":65.98,"CMedQAv1":84.79,"CMedQAv2":84.89,"MMarcoReranking":27.27,"T2Reranking":66.96}
|
52 |
{"index":51,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average":65.89,"CMedQAv1":84.67,"CMedQAv2":85.27,"MMarcoReranking":27.84,"T2Reranking":65.79}
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all_data_tasks/12/default.jsonl
CHANGED
@@ -32,8 +32,8 @@
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|
32 |
{"index":184,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":71.07,"CmedqaRetrieval":41.86,"CovidRetrieval":84.71,"DuRetrieval":87.8,"EcomRetrieval":62.46,"MedicalRetrieval":57.97,"MMarcoRetrieval":78.22,"T2Retrieval":82.51,"VideoRetrieval":73.04}
|
33 |
{"index":187,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":71.02,"CmedqaRetrieval":42.28,"CovidRetrieval":85.19,"DuRetrieval":87.81,"EcomRetrieval":61.66,"MedicalRetrieval":59.38,"MMarcoRetrieval":78.1,"T2Retrieval":82.76,"VideoRetrieval":70.96}
|
34 |
{"index":263,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":70.93,"CmedqaRetrieval":41.98,"CovidRetrieval":85.04,"DuRetrieval":87.97,"EcomRetrieval":61.91,"MedicalRetrieval":59.04,"MMarcoRetrieval":77.83,"T2Retrieval":82.47,"VideoRetrieval":71.18}
|
35 |
-
{"index":
|
36 |
-
{"index":
|
37 |
{"index":15,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":70.62,"CmedqaRetrieval":43.47,"CovidRetrieval":80.87,"DuRetrieval":86.01,"EcomRetrieval":66.46,"MedicalRetrieval":61.33,"MMarcoRetrieval":73.83,"T2Retrieval":83.58,"VideoRetrieval":69.41}
|
38 |
{"index":27,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-noinstruct\">bge-large-zh-noinstruct<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":70.54,"CmedqaRetrieval":41.03,"CovidRetrieval":75.07,"DuRetrieval":84.68,"EcomRetrieval":65.6,"MedicalRetrieval":58.28,"MMarcoRetrieval":81.38,"T2Retrieval":84.39,"VideoRetrieval":73.93}
|
39 |
{"index":28,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":70.46,"CmedqaRetrieval":42.57,"CovidRetrieval":73.35,"DuRetrieval":86.32,"EcomRetrieval":65.33,"MedicalRetrieval":59.59,"MMarcoRetrieval":79.23,"T2Retrieval":83.99,"VideoRetrieval":73.32}
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@@ -43,8 +43,8 @@
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|
43 |
{"index":185,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":70.08,"CmedqaRetrieval":42.03,"CovidRetrieval":79.86,"DuRetrieval":86.97,"EcomRetrieval":62.85,"MedicalRetrieval":58.5,"MMarcoRetrieval":78.36,"T2Retrieval":83.76,"VideoRetrieval":68.27}
|
44 |
{"index":51,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average":69.59,"CmedqaRetrieval":41.8,"CovidRetrieval":79.3,"DuRetrieval":86.43,"EcomRetrieval":62.64,"MedicalRetrieval":58.27,"MMarcoRetrieval":78.17,"T2Retrieval":82.11,"VideoRetrieval":67.96}
|
45 |
{"index":24,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-zh-v1.5\">bge-base-zh-v1.5<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":69.49,"CmedqaRetrieval":41.61,"CovidRetrieval":74.7,"DuRetrieval":85.07,"EcomRetrieval":64.25,"MedicalRetrieval":56.51,"MMarcoRetrieval":77.69,"T2Retrieval":83.71,"VideoRetrieval":72.35}
|
46 |
-
{"index":
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47 |
-
{"index":
|
48 |
{"index":128,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/EminEmbed-multilingual-v1.0\">EminEmbed-multilingual-v1.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.3,"CmedqaRetrieval":40.68,"CovidRetrieval":81.63,"DuRetrieval":81.62,"EcomRetrieval":61.99,"MedicalRetrieval":56.74,"MMarcoRetrieval":78.07,"T2Retrieval":83.87,"VideoRetrieval":69.8}
|
49 |
{"index":44,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh-small\">Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Embedding Dimensions":768,"Max Tokens":1024,"Average":67.7,"CmedqaRetrieval":42.69,"CovidRetrieval":75.63,"DuRetrieval":79.89,"EcomRetrieval":64.48,"MedicalRetrieval":59.95,"MMarcoRetrieval":70.75,"T2Retrieval":79.9,"VideoRetrieval":68.3}
|
50 |
{"index":300,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":65.5,"CmedqaRetrieval":42.46,"CovidRetrieval":61.65,"DuRetrieval":78.57,"EcomRetrieval":57.91,"MedicalRetrieval":62.64,"MMarcoRetrieval":75.0,"T2Retrieval":78.12,"VideoRetrieval":67.69}
|
|
|
32 |
{"index":184,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":71.07,"CmedqaRetrieval":41.86,"CovidRetrieval":84.71,"DuRetrieval":87.8,"EcomRetrieval":62.46,"MedicalRetrieval":57.97,"MMarcoRetrieval":78.22,"T2Retrieval":82.51,"VideoRetrieval":73.04}
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{"index":187,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":71.02,"CmedqaRetrieval":42.28,"CovidRetrieval":85.19,"DuRetrieval":87.81,"EcomRetrieval":61.66,"MedicalRetrieval":59.38,"MMarcoRetrieval":78.1,"T2Retrieval":82.76,"VideoRetrieval":70.96}
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{"index":99,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NLPArtisan\/qwen-1.8b-retrieval-test\">qwen-1.8b-retrieval-test<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":70.63,"CmedqaRetrieval":40.57,"CovidRetrieval":75.93,"DuRetrieval":83.73,"EcomRetrieval":66.14,"MedicalRetrieval":58.58,"MMarcoRetrieval":81.95,"T2Retrieval":84.17,"VideoRetrieval":73.94}
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{"index":252,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pengql\/checkpoint-9000\">checkpoint-9000<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":70.63,"CmedqaRetrieval":40.57,"CovidRetrieval":75.93,"DuRetrieval":83.73,"EcomRetrieval":66.14,"MedicalRetrieval":58.58,"MMarcoRetrieval":81.95,"T2Retrieval":84.17,"VideoRetrieval":73.94}
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{"index":27,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-noinstruct\">bge-large-zh-noinstruct<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":70.54,"CmedqaRetrieval":41.03,"CovidRetrieval":75.07,"DuRetrieval":84.68,"EcomRetrieval":65.6,"MedicalRetrieval":58.28,"MMarcoRetrieval":81.38,"T2Retrieval":84.39,"VideoRetrieval":73.93}
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39 |
{"index":28,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":70.46,"CmedqaRetrieval":42.57,"CovidRetrieval":73.35,"DuRetrieval":86.32,"EcomRetrieval":65.33,"MedicalRetrieval":59.59,"MMarcoRetrieval":79.23,"T2Retrieval":83.99,"VideoRetrieval":73.32}
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43 |
{"index":185,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":70.08,"CmedqaRetrieval":42.03,"CovidRetrieval":79.86,"DuRetrieval":86.97,"EcomRetrieval":62.85,"MedicalRetrieval":58.5,"MMarcoRetrieval":78.36,"T2Retrieval":83.76,"VideoRetrieval":68.27}
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{"index":51,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average":69.59,"CmedqaRetrieval":41.8,"CovidRetrieval":79.3,"DuRetrieval":86.43,"EcomRetrieval":62.64,"MedicalRetrieval":58.27,"MMarcoRetrieval":78.17,"T2Retrieval":82.11,"VideoRetrieval":67.96}
|
45 |
{"index":24,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-zh-v1.5\">bge-base-zh-v1.5<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":69.49,"CmedqaRetrieval":41.61,"CovidRetrieval":74.7,"DuRetrieval":85.07,"EcomRetrieval":64.25,"MedicalRetrieval":56.51,"MMarcoRetrieval":77.69,"T2Retrieval":83.71,"VideoRetrieval":72.35}
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46 |
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{"index":292,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":69.4,"CmedqaRetrieval":39.15,"CovidRetrieval":81.22,"DuRetrieval":84.57,"EcomRetrieval":63.95,"MedicalRetrieval":57.12,"MMarcoRetrieval":77.96,"T2Retrieval":80.59,"VideoRetrieval":70.62}
|
47 |
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{"index":211,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":69.4,"CmedqaRetrieval":39.15,"CovidRetrieval":81.22,"DuRetrieval":84.57,"EcomRetrieval":63.95,"MedicalRetrieval":57.12,"MMarcoRetrieval":77.96,"T2Retrieval":80.59,"VideoRetrieval":70.62}
|
48 |
{"index":128,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/EminEmbed-multilingual-v1.0\">EminEmbed-multilingual-v1.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.3,"CmedqaRetrieval":40.68,"CovidRetrieval":81.63,"DuRetrieval":81.62,"EcomRetrieval":61.99,"MedicalRetrieval":56.74,"MMarcoRetrieval":78.07,"T2Retrieval":83.87,"VideoRetrieval":69.8}
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49 |
{"index":44,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh-small\">Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Embedding Dimensions":768,"Max Tokens":1024,"Average":67.7,"CmedqaRetrieval":42.69,"CovidRetrieval":75.63,"DuRetrieval":79.89,"EcomRetrieval":64.48,"MedicalRetrieval":59.95,"MMarcoRetrieval":70.75,"T2Retrieval":79.9,"VideoRetrieval":68.3}
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50 |
{"index":300,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":65.5,"CmedqaRetrieval":42.46,"CovidRetrieval":61.65,"DuRetrieval":78.57,"EcomRetrieval":57.91,"MedicalRetrieval":62.64,"MMarcoRetrieval":75.0,"T2Retrieval":78.12,"VideoRetrieval":67.69}
|
all_data_tasks/13/default.jsonl
CHANGED
@@ -18,8 +18,8 @@
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|
18 |
{"index":139,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":62.09,"AFQMC":58.81,"ATEC":57.95,"BQ":70.37,"LCQMC":78.17,"PAWSX":45.51,"QBQTC":37.31,"STS22 (zh)":65.85,"STSB":82.73}
|
19 |
{"index":16,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":60.96,"AFQMC":58.42,"ATEC":55.65,"BQ":73.85,"LCQMC":75.39,"PAWSX":42.46,"QBQTC":35.15,"STS22 (zh)":67.4,"STSB":79.4}
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20 |
{"index":331,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":60.07,"AFQMC":50.8,"ATEC":53.23,"BQ":66.49,"LCQMC":76.6,"PAWSX":47.56,"QBQTC":39.96,"STS22 (zh)":65.78,"STSB":80.14}
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{"index":
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22 |
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{"index":
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23 |
{"index":188,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":58.66,"AFQMC":49.95,"ATEC":53.12,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.73,"STS22 (zh)":68.87,"STSB":79.37}
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{"index":22,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":58.66,"AFQMC":49.94,"ATEC":53.11,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.74,"STS22 (zh)":68.88,"STSB":79.37}
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@@ -47,8 +47,8 @@
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47 |
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|
48 |
{"index":229,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":50.42,"AFQMC":36.53,"ATEC":41.8,"BQ":65.2,"LCQMC":74.2,"PAWSX":15.95,"QBQTC":32.65,"STS22 (zh)":62.91,"STSB":74.16}
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49 |
{"index":193,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":50.22,"AFQMC":38.99,"ATEC":42.84,"BQ":50.63,"LCQMC":75.48,"PAWSX":16.81,"QBQTC":31.8,"STS22 (zh)":63.4,"STSB":81.81}
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50 |
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{"index":
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51 |
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{"index":
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52 |
{"index":34,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":49.1,"AFQMC":33.42,"ATEC":43.01,"BQ":55.22,"LCQMC":72.19,"PAWSX":9.26,"QBQTC":35.29,"STS22 (zh)":67.72,"STSB":76.73}
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53 |
{"index":197,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":48.44,"AFQMC":33.01,"ATEC":39.8,"BQ":46.44,"LCQMC":75.95,"PAWSX":14.63,"QBQTC":29.77,"STS22 (zh)":66.82,"STSB":81.08}
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54 |
{"index":196,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":46.49,"AFQMC":29.66,"ATEC":37.01,"BQ":45.45,"LCQMC":74.15,"PAWSX":12.13,"QBQTC":28.81,"STS22 (zh)":65.63,"STSB":79.04}
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18 |
{"index":139,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":62.09,"AFQMC":58.81,"ATEC":57.95,"BQ":70.37,"LCQMC":78.17,"PAWSX":45.51,"QBQTC":37.31,"STS22 (zh)":65.85,"STSB":82.73}
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{"index":16,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":60.96,"AFQMC":58.42,"ATEC":55.65,"BQ":73.85,"LCQMC":75.39,"PAWSX":42.46,"QBQTC":35.15,"STS22 (zh)":67.4,"STSB":79.4}
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{"index":331,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":60.07,"AFQMC":50.8,"ATEC":53.23,"BQ":66.49,"LCQMC":76.6,"PAWSX":47.56,"QBQTC":39.96,"STS22 (zh)":65.78,"STSB":80.14}
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{"index":292,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":59.39,"AFQMC":50.59,"ATEC":51.29,"BQ":66.07,"LCQMC":75.74,"PAWSX":41.49,"QBQTC":38.11,"STS22 (zh)":69.25,"STSB":82.56}
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{"index":211,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":59.39,"AFQMC":50.59,"ATEC":51.29,"BQ":66.07,"LCQMC":75.74,"PAWSX":41.49,"QBQTC":38.11,"STS22 (zh)":69.25,"STSB":82.56}
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{"index":188,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":58.66,"AFQMC":49.95,"ATEC":53.12,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.73,"STS22 (zh)":68.87,"STSB":79.37}
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{"index":22,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":58.66,"AFQMC":49.94,"ATEC":53.11,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.74,"STS22 (zh)":68.88,"STSB":79.37}
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{"index":21,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":58.66,"AFQMC":49.94,"ATEC":53.11,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.74,"STS22 (zh)":68.88,"STSB":79.36}
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47 |
{"index":228,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-base\">m3e-base<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":50.47,"AFQMC":35.87,"ATEC":41.27,"BQ":63.81,"LCQMC":74.88,"PAWSX":12.19,"QBQTC":32.07,"STS22 (zh)":66.73,"STSB":76.97}
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48 |
{"index":229,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":50.42,"AFQMC":36.53,"ATEC":41.8,"BQ":65.2,"LCQMC":74.2,"PAWSX":15.95,"QBQTC":32.65,"STS22 (zh)":62.91,"STSB":74.16}
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{"index":193,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":50.22,"AFQMC":38.99,"ATEC":42.84,"BQ":50.63,"LCQMC":75.48,"PAWSX":16.81,"QBQTC":31.8,"STS22 (zh)":63.4,"STSB":81.81}
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{"index":302,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":49.72,"AFQMC":36.69,"ATEC":45.77,"BQ":49.64,"LCQMC":72.72,"PAWSX":12.77,"QBQTC":36.97,"STS22 (zh)":66.72,"STSB":76.51}
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{"index":300,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":49.72,"AFQMC":36.69,"ATEC":45.77,"BQ":49.64,"LCQMC":72.72,"PAWSX":12.77,"QBQTC":36.97,"STS22 (zh)":66.72,"STSB":76.51}
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{"index":34,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":49.1,"AFQMC":33.42,"ATEC":43.01,"BQ":55.22,"LCQMC":72.19,"PAWSX":9.26,"QBQTC":35.29,"STS22 (zh)":67.72,"STSB":76.73}
|
53 |
{"index":197,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":48.44,"AFQMC":33.01,"ATEC":39.8,"BQ":46.44,"LCQMC":75.95,"PAWSX":14.63,"QBQTC":29.77,"STS22 (zh)":66.82,"STSB":81.08}
|
54 |
{"index":196,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":46.49,"AFQMC":29.66,"ATEC":37.01,"BQ":45.45,"LCQMC":74.15,"PAWSX":12.13,"QBQTC":28.81,"STS22 (zh)":65.63,"STSB":79.04}
|
all_data_tasks/18/default.jsonl
CHANGED
@@ -49,8 +49,8 @@
|
|
49 |
{"index":68,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":71.52,"OpusparcusPC (fr)":86.61,"PawsXPairClassification (fr)":56.42}
|
50 |
{"index":66,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":71.47,"OpusparcusPC (fr)":87.35,"PawsXPairClassification (fr)":55.59}
|
51 |
{"index":67,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":70.96,"OpusparcusPC (fr)":86.53,"PawsXPairClassification (fr)":55.4}
|
52 |
-
{"index":
|
53 |
-
{"index":
|
54 |
{"index":51,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.59,"OpusparcusPC (fr)":87.76,"PawsXPairClassification (fr)":53.41}
|
55 |
{"index":21,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.56,"OpusparcusPC (fr)":87.73,"PawsXPairClassification (fr)":53.38}
|
56 |
{"index":52,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-uncased\">bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.43,"OpusparcusPC (fr)":87.53,"PawsXPairClassification (fr)":53.33}
|
|
|
49 |
{"index":68,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":71.52,"OpusparcusPC (fr)":86.61,"PawsXPairClassification (fr)":56.42}
|
50 |
{"index":66,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":71.47,"OpusparcusPC (fr)":87.35,"PawsXPairClassification (fr)":55.59}
|
51 |
{"index":67,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":70.96,"OpusparcusPC (fr)":86.53,"PawsXPairClassification (fr)":55.4}
|
52 |
+
{"index":22,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.59,"OpusparcusPC (fr)":87.78,"PawsXPairClassification (fr)":53.4}
|
53 |
+
{"index":20,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.59,"OpusparcusPC (fr)":87.78,"PawsXPairClassification (fr)":53.4}
|
54 |
{"index":51,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.59,"OpusparcusPC (fr)":87.76,"PawsXPairClassification (fr)":53.41}
|
55 |
{"index":21,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.56,"OpusparcusPC (fr)":87.73,"PawsXPairClassification (fr)":53.38}
|
56 |
{"index":52,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-uncased\">bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.43,"OpusparcusPC (fr)":87.53,"PawsXPairClassification (fr)":53.33}
|
all_data_tasks/19/default.jsonl
CHANGED
@@ -6,8 +6,8 @@
|
|
6 |
{"index":3,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":82.06,"AlloprofReranking":72.92,"SyntecReranking":91.2}
|
7 |
{"index":0,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":80.46,"AlloprofReranking":72.36,"SyntecReranking":88.57}
|
8 |
{"index":28,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large-8k\">bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":80.35,"AlloprofReranking":73.1,"SyntecReranking":87.6}
|
9 |
-
{"index":
|
10 |
-
{"index":
|
11 |
{"index":2,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-code-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":16000,"Average":78.78,"AlloprofReranking":70.79,"SyntecReranking":86.77}
|
12 |
{"index":9,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":78.7,"AlloprofReranking":73.08,"SyntecReranking":84.32}
|
13 |
{"index":55,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":77.44,"AlloprofReranking":69.44,"SyntecReranking":85.45}
|
@@ -52,8 +52,8 @@
|
|
52 |
{"index":48,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_cased\">flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.34,"AlloprofReranking":34.81,"SyntecReranking":55.88}
|
53 |
{"index":22,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.75,"AlloprofReranking":36.25,"SyntecReranking":53.25}
|
54 |
{"index":51,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.74,"AlloprofReranking":36.23,"SyntecReranking":53.25}
|
55 |
-
{"index":
|
56 |
-
{"index":
|
57 |
{"index":59,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":39.82,"AlloprofReranking":28.75,"SyntecReranking":50.88}
|
58 |
{"index":88,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":39.01,"AlloprofReranking":28.62,"SyntecReranking":49.4}
|
59 |
{"index":87,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":34.66,"AlloprofReranking":25.58,"SyntecReranking":43.75}
|
|
|
6 |
{"index":3,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":82.06,"AlloprofReranking":72.92,"SyntecReranking":91.2}
|
7 |
{"index":0,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":80.46,"AlloprofReranking":72.36,"SyntecReranking":88.57}
|
8 |
{"index":28,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large-8k\">bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":80.35,"AlloprofReranking":73.1,"SyntecReranking":87.6}
|
9 |
+
{"index":37,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":79.79,"AlloprofReranking":73.63,"SyntecReranking":85.95}
|
10 |
+
{"index":27,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":79.79,"AlloprofReranking":73.63,"SyntecReranking":85.95}
|
11 |
{"index":2,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-code-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":16000,"Average":78.78,"AlloprofReranking":70.79,"SyntecReranking":86.77}
|
12 |
{"index":9,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":78.7,"AlloprofReranking":73.08,"SyntecReranking":84.32}
|
13 |
{"index":55,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":77.44,"AlloprofReranking":69.44,"SyntecReranking":85.45}
|
|
|
52 |
{"index":48,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_cased\">flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.34,"AlloprofReranking":34.81,"SyntecReranking":55.88}
|
53 |
{"index":22,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.75,"AlloprofReranking":36.25,"SyntecReranking":53.25}
|
54 |
{"index":51,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.74,"AlloprofReranking":36.23,"SyntecReranking":53.25}
|
55 |
+
{"index":21,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.73,"AlloprofReranking":36.21,"SyntecReranking":53.25}
|
56 |
+
{"index":20,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.73,"AlloprofReranking":36.21,"SyntecReranking":53.25}
|
57 |
{"index":59,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":39.82,"AlloprofReranking":28.75,"SyntecReranking":50.88}
|
58 |
{"index":88,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":39.01,"AlloprofReranking":28.62,"SyntecReranking":49.4}
|
59 |
{"index":87,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":34.66,"AlloprofReranking":25.58,"SyntecReranking":43.75}
|
all_data_tasks/2/default.jsonl
CHANGED
@@ -24,9 +24,9 @@
|
|
24 |
{"index":201,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
25 |
{"index":149,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dopeba\/mxbai-embed-large-v1-Q6_K-GGUF\">mxbai-embed-large-v1-Q6_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
26 |
{"index":55,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.14,"SprintDuplicateQuestions":96.97,"TwitterSemEval2015":78.29,"TwitterURLCorpus":86.16}
|
27 |
-
{"index":
|
28 |
-
{"index":
|
29 |
-
{"index":
|
30 |
{"index":271,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.07,"SprintDuplicateQuestions":96.87,"TwitterSemEval2015":78.24,"TwitterURLCorpus":86.11}
|
31 |
{"index":219,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":86.91,"SprintDuplicateQuestions":95.94,"TwitterSemEval2015":78.73,"TwitterURLCorpus":86.05}
|
32 |
{"index":9,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":86.87,"SprintDuplicateQuestions":98.07,"TwitterSemEval2015":74.44,"TwitterURLCorpus":88.11}
|
@@ -49,21 +49,21 @@
|
|
49 |
{"index":167,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
50 |
{"index":53,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
51 |
{"index":166,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.94,"SprintDuplicateQuestions":95.42,"TwitterSemEval2015":76.1,"TwitterURLCorpus":86.31}
|
52 |
-
{"index":
|
53 |
-
{"index":
|
54 |
{"index":25,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":85.84,"SprintDuplicateQuestions":90.94,"TwitterSemEval2015":79.64,"TwitterURLCorpus":86.95}
|
55 |
{"index":32,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46}
|
56 |
{"index":17,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":85.79,"SprintDuplicateQuestions":92.82,"TwitterSemEval2015":77.96,"TwitterURLCorpus":86.59}
|
57 |
-
{"index":
|
58 |
-
{"index":
|
59 |
{"index":297,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":85.72,"SprintDuplicateQuestions":92.25,"TwitterSemEval2015":77.13,"TwitterURLCorpus":87.78}
|
60 |
-
{"index":
|
61 |
-
{"index":
|
62 |
{"index":278,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.41,"SprintDuplicateQuestions":95.02,"TwitterSemEval2015":75.24,"TwitterURLCorpus":85.96}
|
63 |
{"index":180,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":85.4,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":73.81,"TwitterURLCorpus":86.78}
|
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-
{"index":
|
65 |
-
{"index":
|
66 |
-
{"index":
|
67 |
{"index":18,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.33,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":75.53,"TwitterURLCorpus":85.51}
|
68 |
{"index":246,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.32,"SprintDuplicateQuestions":95.05,"TwitterSemEval2015":76.03,"TwitterURLCorpus":84.89}
|
69 |
{"index":253,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.18,"SprintDuplicateQuestions":91.23,"TwitterSemEval2015":78.25,"TwitterURLCorpus":86.05}
|
@@ -82,22 +82,22 @@
|
|
82 |
{"index":44,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.97,"SprintDuplicateQuestions":91.24,"TwitterSemEval2015":77.21,"TwitterURLCorpus":86.45}
|
83 |
{"index":26,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.92,"SprintDuplicateQuestions":96.67,"TwitterSemEval2015":73.24,"TwitterURLCorpus":84.84}
|
84 |
{"index":295,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":84.89,"SprintDuplicateQuestions":92.17,"TwitterSemEval2015":75.28,"TwitterURLCorpus":87.22}
|
85 |
-
{"index":183,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":
|
86 |
{"index":172,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":84.75,"SprintDuplicateQuestions":93.14,"TwitterSemEval2015":75.28,"TwitterURLCorpus":85.83}
|
87 |
{"index":54,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/multilingual-e5-large-GGUF\">multilingual-e5-large-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.75,"SprintDuplicateQuestions":93.13,"TwitterSemEval2015":75.28,"TwitterURLCorpus":85.83}
|
88 |
{"index":205,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.69,"SprintDuplicateQuestions":95.5,"TwitterSemEval2015":72.92,"TwitterURLCorpus":85.66}
|
89 |
{"index":280,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-quant\">gte-large-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.69,"SprintDuplicateQuestions":95.63,"TwitterSemEval2015":72.87,"TwitterURLCorpus":85.58}
|
90 |
{"index":129,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.68,"SprintDuplicateQuestions":95.79,"TwitterSemEval2015":72.95,"TwitterURLCorpus":85.3}
|
91 |
{"index":170,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.67,"SprintDuplicateQuestions":94.88,"TwitterSemEval2015":73.34,"TwitterURLCorpus":85.79}
|
92 |
-
{"index":
|
93 |
-
{"index":
|
94 |
{"index":98,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
95 |
-
{"index":
|
96 |
{"index":215,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":92.91,"TwitterSemEval2015":74.3,"TwitterURLCorpus":86.57}
|
97 |
{"index":211,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":94.83,"TwitterSemEval2015":72.55,"TwitterURLCorpus":86.38}
|
98 |
{"index":263,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.57,"SprintDuplicateQuestions":95.71,"TwitterSemEval2015":72.47,"TwitterURLCorpus":85.52}
|
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-
{"index":
|
100 |
-
{"index":
|
101 |
{"index":19,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.53,"SprintDuplicateQuestions":94.16,"TwitterSemEval2015":75.25,"TwitterURLCorpus":84.18}
|
102 |
{"index":134,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/biswa921\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.48,"SprintDuplicateQuestions":97.32,"TwitterSemEval2015":70.29,"TwitterURLCorpus":85.83}
|
103 |
{"index":188,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":84.44,"SprintDuplicateQuestions":95.12,"TwitterSemEval2015":72.15,"TwitterURLCorpus":86.05}
|
@@ -109,9 +109,9 @@
|
|
109 |
{"index":116,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/EminEmbed-multilingual-v1.0\">EminEmbed-multilingual-v1.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.94,"SprintDuplicateQuestions":94.23,"TwitterSemEval2015":70.85,"TwitterURLCorpus":86.73}
|
110 |
{"index":245,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.85,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":72.23,"TwitterURLCorpus":84.77}
|
111 |
{"index":212,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.67,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":69.68,"TwitterURLCorpus":85.41}
|
112 |
-
{"index":
|
113 |
-
{"index":
|
114 |
-
{"index":
|
115 |
{"index":281,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.58,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":70.34,"TwitterURLCorpus":85.72}
|
116 |
{"index":171,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.57,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48}
|
117 |
{"index":213,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"Average":83.54,"SprintDuplicateQuestions":91.45,"TwitterSemEval2015":73.23,"TwitterURLCorpus":85.93}
|
@@ -124,8 +124,8 @@
|
|
124 |
{"index":240,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.04,"SprintDuplicateQuestions":90.15,"TwitterSemEval2015":73.87,"TwitterURLCorpus":85.11}
|
125 |
{"index":182,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.04,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.3,"TwitterURLCorpus":85.33}
|
126 |
{"index":59,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.95,"SprintDuplicateQuestions":94.38,"TwitterSemEval2015":67.98,"TwitterURLCorpus":86.48}
|
127 |
-
{"index":
|
128 |
-
{"index":
|
129 |
{"index":112,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.81,"SprintDuplicateQuestions":95.78,"TwitterSemEval2015":67.76,"TwitterURLCorpus":84.89}
|
130 |
{"index":174,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.73,"SprintDuplicateQuestions":92.42,"TwitterSemEval2015":70.75,"TwitterURLCorpus":85.03}
|
131 |
{"index":73,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.69,"SprintDuplicateQuestions":95.35,"TwitterSemEval2015":67.97,"TwitterURLCorpus":84.75}
|
@@ -139,8 +139,8 @@
|
|
139 |
{"index":124,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/amazon\/Titan-text-embeddings-v2\">Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.14,"SprintDuplicateQuestions":92.92,"TwitterSemEval2015":67.8,"TwitterURLCorpus":85.71}
|
140 |
{"index":141,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"Average":82.11,"SprintDuplicateQuestions":93.23,"TwitterSemEval2015":69.6,"TwitterURLCorpus":83.49}
|
141 |
{"index":109,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.07,"SprintDuplicateQuestions":95.28,"TwitterSemEval2015":65.78,"TwitterURLCorpus":85.15}
|
142 |
-
{"index":
|
143 |
-
{"index":
|
144 |
{"index":88,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-msmarco-specb-bitfit\">SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":82.0,"SprintDuplicateQuestions":93.84,"TwitterSemEval2015":66.87,"TwitterURLCorpus":85.29}
|
145 |
{"index":209,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.93,"SprintDuplicateQuestions":94.59,"TwitterSemEval2015":67.01,"TwitterURLCorpus":84.2}
|
146 |
{"index":133,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":81.9,"SprintDuplicateQuestions":94.93,"TwitterSemEval2015":65.31,"TwitterURLCorpus":85.46}
|
@@ -152,7 +152,7 @@
|
|
152 |
{"index":299,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":81.32,"SprintDuplicateQuestions":94.53,"TwitterSemEval2015":64.41,"TwitterURLCorpus":85.01}
|
153 |
{"index":106,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.07,"SprintDuplicateQuestions":95.21,"TwitterSemEval2015":63.28,"TwitterURLCorpus":84.72}
|
154 |
{"index":179,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":81.05,"SprintDuplicateQuestions":92.09,"TwitterSemEval2015":65.96,"TwitterURLCorpus":85.11}
|
155 |
-
{"index":144,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":
|
156 |
{"index":70,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":80.94,"SprintDuplicateQuestions":91.3,"TwitterSemEval2015":68.76,"TwitterURLCorpus":82.76}
|
157 |
{"index":148,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.86,"SprintDuplicateQuestions":93.84,"TwitterSemEval2015":64.72,"TwitterURLCorpus":84.01}
|
158 |
{"index":252,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":80.81,"SprintDuplicateQuestions":90.55,"TwitterSemEval2015":66.75,"TwitterURLCorpus":85.14}
|
|
|
24 |
{"index":201,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
25 |
{"index":149,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dopeba\/mxbai-embed-large-v1-Q6_K-GGUF\">mxbai-embed-large-v1-Q6_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
26 |
{"index":55,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.14,"SprintDuplicateQuestions":96.97,"TwitterSemEval2015":78.29,"TwitterURLCorpus":86.16}
|
27 |
+
{"index":23,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6}
|
28 |
+
{"index":229,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6}
|
29 |
+
{"index":228,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6}
|
30 |
{"index":271,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.07,"SprintDuplicateQuestions":96.87,"TwitterSemEval2015":78.24,"TwitterURLCorpus":86.11}
|
31 |
{"index":219,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":86.91,"SprintDuplicateQuestions":95.94,"TwitterSemEval2015":78.73,"TwitterURLCorpus":86.05}
|
32 |
{"index":9,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":86.87,"SprintDuplicateQuestions":98.07,"TwitterSemEval2015":74.44,"TwitterURLCorpus":88.11}
|
|
|
49 |
{"index":167,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
50 |
{"index":53,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
51 |
{"index":166,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.94,"SprintDuplicateQuestions":95.42,"TwitterSemEval2015":76.1,"TwitterURLCorpus":86.31}
|
52 |
+
{"index":161,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.89,"SprintDuplicateQuestions":93.07,"TwitterSemEval2015":77.42,"TwitterURLCorpus":87.18}
|
53 |
+
{"index":200,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.89,"SprintDuplicateQuestions":96.05,"TwitterSemEval2015":76.08,"TwitterURLCorpus":85.54}
|
54 |
{"index":25,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":85.84,"SprintDuplicateQuestions":90.94,"TwitterSemEval2015":79.64,"TwitterURLCorpus":86.95}
|
55 |
{"index":32,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46}
|
56 |
{"index":17,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":85.79,"SprintDuplicateQuestions":92.82,"TwitterSemEval2015":77.96,"TwitterURLCorpus":86.59}
|
57 |
+
{"index":153,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
|
58 |
+
{"index":165,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
|
59 |
{"index":297,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":85.72,"SprintDuplicateQuestions":92.25,"TwitterSemEval2015":77.13,"TwitterURLCorpus":87.78}
|
60 |
+
{"index":119,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.61,"SprintDuplicateQuestions":92.57,"TwitterSemEval2015":77.07,"TwitterURLCorpus":87.19}
|
61 |
+
{"index":57,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.61,"SprintDuplicateQuestions":92.57,"TwitterSemEval2015":77.07,"TwitterURLCorpus":87.19}
|
62 |
{"index":278,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.41,"SprintDuplicateQuestions":95.02,"TwitterSemEval2015":75.24,"TwitterURLCorpus":85.96}
|
63 |
{"index":180,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":85.4,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":73.81,"TwitterURLCorpus":86.78}
|
64 |
+
{"index":274,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.38,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":74.74,"TwitterURLCorpus":86.09}
|
65 |
+
{"index":123,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aimlresearch2023\/jina-embeddings-v2-base-en-Q8_0-GGUF\">jina-embeddings-v2-base-en-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.38,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":74.74,"TwitterURLCorpus":86.09}
|
66 |
+
{"index":186,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.38,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":74.74,"TwitterURLCorpus":86.09}
|
67 |
{"index":18,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.33,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":75.53,"TwitterURLCorpus":85.51}
|
68 |
{"index":246,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.32,"SprintDuplicateQuestions":95.05,"TwitterSemEval2015":76.03,"TwitterURLCorpus":84.89}
|
69 |
{"index":253,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.18,"SprintDuplicateQuestions":91.23,"TwitterSemEval2015":78.25,"TwitterURLCorpus":86.05}
|
|
|
82 |
{"index":44,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.97,"SprintDuplicateQuestions":91.24,"TwitterSemEval2015":77.21,"TwitterURLCorpus":86.45}
|
83 |
{"index":26,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.92,"SprintDuplicateQuestions":96.67,"TwitterSemEval2015":73.24,"TwitterURLCorpus":84.84}
|
84 |
{"index":295,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":84.89,"SprintDuplicateQuestions":92.17,"TwitterSemEval2015":75.28,"TwitterURLCorpus":87.22}
|
85 |
+
{"index":183,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.8,"SprintDuplicateQuestions":96.09,"TwitterSemEval2015":72.32,"TwitterURLCorpus":85.98}
|
86 |
{"index":172,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":84.75,"SprintDuplicateQuestions":93.14,"TwitterSemEval2015":75.28,"TwitterURLCorpus":85.83}
|
87 |
{"index":54,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/multilingual-e5-large-GGUF\">multilingual-e5-large-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.75,"SprintDuplicateQuestions":93.13,"TwitterSemEval2015":75.28,"TwitterURLCorpus":85.83}
|
88 |
{"index":205,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.69,"SprintDuplicateQuestions":95.5,"TwitterSemEval2015":72.92,"TwitterURLCorpus":85.66}
|
89 |
{"index":280,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-quant\">gte-large-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.69,"SprintDuplicateQuestions":95.63,"TwitterSemEval2015":72.87,"TwitterURLCorpus":85.58}
|
90 |
{"index":129,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.68,"SprintDuplicateQuestions":95.79,"TwitterSemEval2015":72.95,"TwitterURLCorpus":85.3}
|
91 |
{"index":170,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.67,"SprintDuplicateQuestions":94.88,"TwitterSemEval2015":73.34,"TwitterURLCorpus":85.79}
|
92 |
+
{"index":217,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
93 |
+
{"index":117,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
94 |
{"index":98,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
95 |
+
{"index":285,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
96 |
{"index":215,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":92.91,"TwitterSemEval2015":74.3,"TwitterURLCorpus":86.57}
|
97 |
{"index":211,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":94.83,"TwitterSemEval2015":72.55,"TwitterURLCorpus":86.38}
|
98 |
{"index":263,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.57,"SprintDuplicateQuestions":95.71,"TwitterSemEval2015":72.47,"TwitterURLCorpus":85.52}
|
99 |
+
{"index":223,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.56,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":71.62,"TwitterURLCorpus":86.44}
|
100 |
+
{"index":187,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.56,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":71.62,"TwitterURLCorpus":86.44}
|
101 |
{"index":19,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.53,"SprintDuplicateQuestions":94.16,"TwitterSemEval2015":75.25,"TwitterURLCorpus":84.18}
|
102 |
{"index":134,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/biswa921\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.48,"SprintDuplicateQuestions":97.32,"TwitterSemEval2015":70.29,"TwitterURLCorpus":85.83}
|
103 |
{"index":188,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":84.44,"SprintDuplicateQuestions":95.12,"TwitterSemEval2015":72.15,"TwitterURLCorpus":86.05}
|
|
|
109 |
{"index":116,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/EminEmbed-multilingual-v1.0\">EminEmbed-multilingual-v1.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.94,"SprintDuplicateQuestions":94.23,"TwitterSemEval2015":70.85,"TwitterURLCorpus":86.73}
|
110 |
{"index":245,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.85,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":72.23,"TwitterURLCorpus":84.77}
|
111 |
{"index":212,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.67,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":69.68,"TwitterURLCorpus":85.41}
|
112 |
+
{"index":136,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
113 |
+
{"index":185,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
114 |
+
{"index":61,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
115 |
{"index":281,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.58,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":70.34,"TwitterURLCorpus":85.72}
|
116 |
{"index":171,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.57,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48}
|
117 |
{"index":213,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"Average":83.54,"SprintDuplicateQuestions":91.45,"TwitterSemEval2015":73.23,"TwitterURLCorpus":85.93}
|
|
|
124 |
{"index":240,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.04,"SprintDuplicateQuestions":90.15,"TwitterSemEval2015":73.87,"TwitterURLCorpus":85.11}
|
125 |
{"index":182,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.04,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.3,"TwitterURLCorpus":85.33}
|
126 |
{"index":59,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.95,"SprintDuplicateQuestions":94.38,"TwitterSemEval2015":67.98,"TwitterURLCorpus":86.48}
|
127 |
+
{"index":113,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.83,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.17,"TwitterURLCorpus":84.84}
|
128 |
+
{"index":272,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.83,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":71.07,"TwitterURLCorpus":84.4}
|
129 |
{"index":112,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.81,"SprintDuplicateQuestions":95.78,"TwitterSemEval2015":67.76,"TwitterURLCorpus":84.89}
|
130 |
{"index":174,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.73,"SprintDuplicateQuestions":92.42,"TwitterSemEval2015":70.75,"TwitterURLCorpus":85.03}
|
131 |
{"index":73,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.69,"SprintDuplicateQuestions":95.35,"TwitterSemEval2015":67.97,"TwitterURLCorpus":84.75}
|
|
|
139 |
{"index":124,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/amazon\/Titan-text-embeddings-v2\">Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.14,"SprintDuplicateQuestions":92.92,"TwitterSemEval2015":67.8,"TwitterURLCorpus":85.71}
|
140 |
{"index":141,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"Average":82.11,"SprintDuplicateQuestions":93.23,"TwitterSemEval2015":69.6,"TwitterURLCorpus":83.49}
|
141 |
{"index":109,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.07,"SprintDuplicateQuestions":95.28,"TwitterSemEval2015":65.78,"TwitterURLCorpus":85.15}
|
142 |
+
{"index":107,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.02,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":66.17,"TwitterURLCorpus":85.21}
|
143 |
+
{"index":279,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.02,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":66.17,"TwitterURLCorpus":85.21}
|
144 |
{"index":88,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-msmarco-specb-bitfit\">SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":82.0,"SprintDuplicateQuestions":93.84,"TwitterSemEval2015":66.87,"TwitterURLCorpus":85.29}
|
145 |
{"index":209,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.93,"SprintDuplicateQuestions":94.59,"TwitterSemEval2015":67.01,"TwitterURLCorpus":84.2}
|
146 |
{"index":133,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":81.9,"SprintDuplicateQuestions":94.93,"TwitterSemEval2015":65.31,"TwitterURLCorpus":85.46}
|
|
|
152 |
{"index":299,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":81.32,"SprintDuplicateQuestions":94.53,"TwitterSemEval2015":64.41,"TwitterURLCorpus":85.01}
|
153 |
{"index":106,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.07,"SprintDuplicateQuestions":95.21,"TwitterSemEval2015":63.28,"TwitterURLCorpus":84.72}
|
154 |
{"index":179,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":81.05,"SprintDuplicateQuestions":92.09,"TwitterSemEval2015":65.96,"TwitterURLCorpus":85.11}
|
155 |
+
{"index":144,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.03,"SprintDuplicateQuestions":90.68,"TwitterSemEval2015":67.77,"TwitterURLCorpus":84.65}
|
156 |
{"index":70,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":80.94,"SprintDuplicateQuestions":91.3,"TwitterSemEval2015":68.76,"TwitterURLCorpus":82.76}
|
157 |
{"index":148,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.86,"SprintDuplicateQuestions":93.84,"TwitterSemEval2015":64.72,"TwitterURLCorpus":84.01}
|
158 |
{"index":252,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":80.81,"SprintDuplicateQuestions":90.55,"TwitterSemEval2015":66.75,"TwitterURLCorpus":85.14}
|
all_data_tasks/20/default.jsonl
CHANGED
@@ -4,8 +4,8 @@
|
|
4 |
{"index":3,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":52.98,"AlloprofRetrieval":57.28,"BSARDRetrieval":11.83,"MintakaRetrieval (fr)":34.92,"SyntecRetrieval":87.33,"XPQARetrieval (fr)":73.56}
|
5 |
{"index":10,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":52.97,"AlloprofRetrieval":53.64,"BSARDRetrieval":26.11,"MintakaRetrieval (fr)":34.71,"SyntecRetrieval":83.04,"XPQARetrieval (fr)":67.33}
|
6 |
{"index":8,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":52.56,"AlloprofRetrieval":57.89,"BSARDRetrieval":6.3,"MintakaRetrieval (fr)":42.56,"SyntecRetrieval":90.47,"XPQARetrieval (fr)":65.58}
|
7 |
-
{"index":
|
8 |
-
{"index":
|
9 |
{"index":55,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":48.68,"AlloprofRetrieval":39.34,"BSARDRetrieval":21.28,"MintakaRetrieval (fr)":34.24,"SyntecRetrieval":82.39,"XPQARetrieval (fr)":66.15}
|
10 |
{"index":90,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":48.23,"AlloprofRetrieval":51.64,"BSARDRetrieval":0.61,"MintakaRetrieval (fr)":29.94,"SyntecRetrieval":85.97,"XPQARetrieval (fr)":73.0}
|
11 |
{"index":0,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":46.81,"AlloprofRetrieval":56.84,"BSARDRetrieval":2.48,"MintakaRetrieval (fr)":21.73,"SyntecRetrieval":78.77,"XPQARetrieval (fr)":74.24}
|
|
|
4 |
{"index":3,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":52.98,"AlloprofRetrieval":57.28,"BSARDRetrieval":11.83,"MintakaRetrieval (fr)":34.92,"SyntecRetrieval":87.33,"XPQARetrieval (fr)":73.56}
|
5 |
{"index":10,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":52.97,"AlloprofRetrieval":53.64,"BSARDRetrieval":26.11,"MintakaRetrieval (fr)":34.71,"SyntecRetrieval":83.04,"XPQARetrieval (fr)":67.33}
|
6 |
{"index":8,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":52.56,"AlloprofRetrieval":57.89,"BSARDRetrieval":6.3,"MintakaRetrieval (fr)":42.56,"SyntecRetrieval":90.47,"XPQARetrieval (fr)":65.58}
|
7 |
+
{"index":37,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":50.09,"AlloprofRetrieval":47.6,"BSARDRetrieval":19.58,"MintakaRetrieval (fr)":32.62,"SyntecRetrieval":84.2,"XPQARetrieval (fr)":66.43}
|
8 |
+
{"index":27,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":50.09,"AlloprofRetrieval":47.6,"BSARDRetrieval":19.58,"MintakaRetrieval (fr)":32.62,"SyntecRetrieval":84.2,"XPQARetrieval (fr)":66.43}
|
9 |
{"index":55,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":48.68,"AlloprofRetrieval":39.34,"BSARDRetrieval":21.28,"MintakaRetrieval (fr)":34.24,"SyntecRetrieval":82.39,"XPQARetrieval (fr)":66.15}
|
10 |
{"index":90,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":48.23,"AlloprofRetrieval":51.64,"BSARDRetrieval":0.61,"MintakaRetrieval (fr)":29.94,"SyntecRetrieval":85.97,"XPQARetrieval (fr)":73.0}
|
11 |
{"index":0,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":46.81,"AlloprofRetrieval":56.84,"BSARDRetrieval":2.48,"MintakaRetrieval (fr)":21.73,"SyntecRetrieval":78.77,"XPQARetrieval (fr)":74.24}
|
all_data_tasks/22/default.jsonl
CHANGED
@@ -9,9 +9,9 @@
|
|
9 |
{"index":0,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","SummEvalFr":31.47}
|
10 |
{"index":9,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"SummEvalFr":31.45}
|
11 |
{"index":15,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"SummEvalFr":31.4}
|
12 |
-
{"index":
|
13 |
-
{"index":
|
14 |
-
{"index":
|
15 |
{"index":55,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEvalFr":30.92}
|
16 |
{"index":1,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"SummEvalFr":30.88}
|
17 |
{"index":44,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"SummEvalFr":30.88}
|
@@ -21,14 +21,14 @@
|
|
21 |
{"index":8,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"SummEvalFr":30.5}
|
22 |
{"index":80,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":30.39}
|
23 |
{"index":3,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"SummEvalFr":30.34}
|
24 |
-
{"index":
|
25 |
-
{"index":
|
26 |
{"index":61,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.1\">sentence_croissant_alpha_v0.1<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEvalFr":30.28}
|
27 |
{"index":62,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.2\">sentence_croissant_alpha_v0.2<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEvalFr":30.27}
|
28 |
{"index":78,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":30.23}
|
29 |
{"index":64,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.4\">sentence_croissant_alpha_v0.4<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEvalFr":30.22}
|
30 |
-
{"index":
|
31 |
-
{"index":
|
32 |
{"index":60,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/bge-m3-custom-fr\">bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"SummEvalFr":30.13}
|
33 |
{"index":77,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":30.01}
|
34 |
{"index":4,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"SummEvalFr":29.96}
|
|
|
9 |
{"index":0,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","SummEvalFr":31.47}
|
10 |
{"index":9,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"SummEvalFr":31.45}
|
11 |
{"index":15,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"SummEvalFr":31.4}
|
12 |
+
{"index":16,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"SummEvalFr":31.26}
|
13 |
+
{"index":11,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"SummEvalFr":31.26}
|
14 |
+
{"index":48,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_cased\">flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":31.26}
|
15 |
{"index":55,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEvalFr":30.92}
|
16 |
{"index":1,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"SummEvalFr":30.88}
|
17 |
{"index":44,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"SummEvalFr":30.88}
|
|
|
21 |
{"index":8,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"SummEvalFr":30.5}
|
22 |
{"index":80,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":30.39}
|
23 |
{"index":3,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"SummEvalFr":30.34}
|
24 |
+
{"index":27,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEvalFr":30.3}
|
25 |
+
{"index":37,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEvalFr":30.3}
|
26 |
{"index":61,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.1\">sentence_croissant_alpha_v0.1<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEvalFr":30.28}
|
27 |
{"index":62,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.2\">sentence_croissant_alpha_v0.2<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEvalFr":30.27}
|
28 |
{"index":78,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":30.23}
|
29 |
{"index":64,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.4\">sentence_croissant_alpha_v0.4<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEvalFr":30.22}
|
30 |
+
{"index":65,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":30.16}
|
31 |
+
{"index":26,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEvalFr":30.16}
|
32 |
{"index":60,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/bge-m3-custom-fr\">bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"SummEvalFr":30.13}
|
33 |
{"index":77,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":30.01}
|
34 |
{"index":4,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"SummEvalFr":29.96}
|
all_data_tasks/25/default.jsonl
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{"index":7,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepset\/gbert-large\">gbert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"Average":32.34,"BlurbsClusteringP2P":39.3,"BlurbsClusteringS2S":13.38,"TenKGnadClusteringP2P":41.69,"TenKGnadClusteringS2S":34.97}
|
2 |
{"index":17,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":29.74,"BlurbsClusteringP2P":39.91,"BlurbsClusteringS2S":15.94,"TenKGnadClusteringP2P":43.43,"TenKGnadClusteringS2S":19.69}
|
3 |
-
{"index":
|
4 |
-
{"index":
|
5 |
-
{"index":
|
6 |
{"index":4,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aari1995\/German_Semantic_STS_V2\">German_Semantic_STS_V2<\/a>","Model Size (Million Parameters)":336,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":29.5,"BlurbsClusteringP2P":38.68,"BlurbsClusteringS2S":17.62,"TenKGnadClusteringP2P":38.0,"TenKGnadClusteringS2S":23.71}
|
7 |
{"index":16,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":27.49,"BlurbsClusteringP2P":35.33,"BlurbsClusteringS2S":13.27,"TenKGnadClusteringP2P":44.11,"TenKGnadClusteringS2S":17.26}
|
8 |
{"index":14,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":27.04,"BlurbsClusteringP2P":34.38,"BlurbsClusteringS2S":15.81,"TenKGnadClusteringP2P":35.96,"TenKGnadClusteringS2S":22.0}
|
|
|
1 |
{"index":7,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepset\/gbert-large\">gbert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"Average":32.34,"BlurbsClusteringP2P":39.3,"BlurbsClusteringS2S":13.38,"TenKGnadClusteringP2P":41.69,"TenKGnadClusteringS2S":34.97}
|
2 |
{"index":17,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":29.74,"BlurbsClusteringP2P":39.91,"BlurbsClusteringS2S":15.94,"TenKGnadClusteringP2P":43.43,"TenKGnadClusteringS2S":19.69}
|
3 |
+
{"index":1,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
|
4 |
+
{"index":11,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
|
5 |
+
{"index":5,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
|
6 |
{"index":4,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aari1995\/German_Semantic_STS_V2\">German_Semantic_STS_V2<\/a>","Model Size (Million Parameters)":336,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":29.5,"BlurbsClusteringP2P":38.68,"BlurbsClusteringS2S":17.62,"TenKGnadClusteringP2P":38.0,"TenKGnadClusteringS2S":23.71}
|
7 |
{"index":16,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":27.49,"BlurbsClusteringP2P":35.33,"BlurbsClusteringS2S":13.27,"TenKGnadClusteringP2P":44.11,"TenKGnadClusteringS2S":17.26}
|
8 |
{"index":14,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":27.04,"BlurbsClusteringP2P":34.38,"BlurbsClusteringS2S":15.81,"TenKGnadClusteringP2P":35.96,"TenKGnadClusteringS2S":22.0}
|
all_data_tasks/3/default.jsonl
CHANGED
@@ -16,8 +16,8 @@
|
|
16 |
{"index":128,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.05,"AskUbuntuDupQuestions":64.7,"MindSmallReranking":32.82,"SciDocsRR":87.8,"StackOverflowDupQuestions":54.88}
|
17 |
{"index":102,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.04,"AskUbuntuDupQuestions":64.46,"MindSmallReranking":32.27,"SciDocsRR":87.56,"StackOverflowDupQuestions":55.85}
|
18 |
{"index":193,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.04,"AskUbuntuDupQuestions":64.46,"MindSmallReranking":32.27,"SciDocsRR":87.56,"StackOverflowDupQuestions":55.85}
|
19 |
-
{"index":
|
20 |
-
{"index":
|
21 |
{"index":23,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
22 |
{"index":271,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.0,"AskUbuntuDupQuestions":64.42,"MindSmallReranking":32.78,"SciDocsRR":87.61,"StackOverflowDupQuestions":55.19}
|
23 |
{"index":16,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":59.98,"AskUbuntuDupQuestions":64.55,"MindSmallReranking":33.94,"SciDocsRR":86.52,"StackOverflowDupQuestions":54.91}
|
@@ -69,19 +69,19 @@
|
|
69 |
{"index":205,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":57.18,"AskUbuntuDupQuestions":60.23,"MindSmallReranking":31.71,"SciDocsRR":84.46,"StackOverflowDupQuestions":52.32}
|
70 |
{"index":192,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":57.12,"AskUbuntuDupQuestions":62.73,"MindSmallReranking":30.81,"SciDocsRR":85.11,"StackOverflowDupQuestions":49.85}
|
71 |
{"index":123,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aimlresearch2023\/jina-embeddings-v2-base-en-Q8_0-GGUF\">jina-embeddings-v2-base-en-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":56.98,"AskUbuntuDupQuestions":62.25,"MindSmallReranking":30.54,"SciDocsRR":83.1,"StackOverflowDupQuestions":52.05}
|
72 |
-
{"index":
|
73 |
-
{"index":
|
74 |
{"index":298,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":56.72,"AskUbuntuDupQuestions":62.18,"MindSmallReranking":29.93,"SciDocsRR":83.25,"StackOverflowDupQuestions":51.53}
|
75 |
{"index":248,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.66,"AskUbuntuDupQuestions":63.23,"MindSmallReranking":31.93,"SciDocsRR":77.96,"StackOverflowDupQuestions":53.5}
|
76 |
-
{"index":
|
77 |
-
{"index":
|
78 |
{"index":88,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-msmarco-specb-bitfit\">SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":56.56,"AskUbuntuDupQuestions":61.63,"MindSmallReranking":32.29,"SciDocsRR":80.79,"StackOverflowDupQuestions":51.53}
|
79 |
{"index":166,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":56.53,"AskUbuntuDupQuestions":60.07,"MindSmallReranking":30.78,"SciDocsRR":83.94,"StackOverflowDupQuestions":51.33}
|
80 |
{"index":256,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.42,"AskUbuntuDupQuestions":66.16,"MindSmallReranking":30.6,"SciDocsRR":76.09,"StackOverflowDupQuestions":52.85}
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81 |
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{"index":183,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":
|
82 |
{"index":295,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":56.32,"AskUbuntuDupQuestions":62.05,"MindSmallReranking":31.45,"SciDocsRR":81.22,"StackOverflowDupQuestions":50.54}
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83 |
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{"index":
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84 |
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{"index":
|
85 |
{"index":160,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.2,"AskUbuntuDupQuestions":63.17,"MindSmallReranking":31.82,"SciDocsRR":78.83,"StackOverflowDupQuestions":50.99}
|
86 |
{"index":31,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":56.09,"AskUbuntuDupQuestions":60.11,"MindSmallReranking":31.87,"SciDocsRR":81.62,"StackOverflowDupQuestions":50.76}
|
87 |
{"index":247,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.96,"AskUbuntuDupQuestions":63.08,"MindSmallReranking":31.5,"SciDocsRR":76.49,"StackOverflowDupQuestions":52.79}
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@@ -92,9 +92,9 @@
|
|
92 |
{"index":165,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.91,"AskUbuntuDupQuestions":58.98,"MindSmallReranking":31.29,"SciDocsRR":83.02,"StackOverflowDupQuestions":50.34}
|
93 |
{"index":54,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/multilingual-e5-large-GGUF\">multilingual-e5-large-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.86,"AskUbuntuDupQuestions":60.28,"MindSmallReranking":31.42,"SciDocsRR":82.04,"StackOverflowDupQuestions":49.72}
|
94 |
{"index":182,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.84,"AskUbuntuDupQuestions":62.4,"MindSmallReranking":31.56,"SciDocsRR":79.31,"StackOverflowDupQuestions":50.11}
|
95 |
-
{"index":
|
96 |
-
{"index":
|
97 |
-
{"index":
|
98 |
{"index":217,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
99 |
{"index":113,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.77,"AskUbuntuDupQuestions":59.83,"MindSmallReranking":32.06,"SciDocsRR":81.54,"StackOverflowDupQuestions":49.65}
|
100 |
{"index":116,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/EminEmbed-multilingual-v1.0\">EminEmbed-multilingual-v1.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.74,"AskUbuntuDupQuestions":59.79,"MindSmallReranking":32.08,"SciDocsRR":81.58,"StackOverflowDupQuestions":49.51}
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@@ -112,8 +112,8 @@
|
|
112 |
{"index":71,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":55.38,"AskUbuntuDupQuestions":60.71,"MindSmallReranking":31.96,"SciDocsRR":79.23,"StackOverflowDupQuestions":49.61}
|
113 |
{"index":246,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.36,"AskUbuntuDupQuestions":61.64,"MindSmallReranking":31.84,"SciDocsRR":76.39,"StackOverflowDupQuestions":51.58}
|
114 |
{"index":74,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Ivysaur\">Ivysaur<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.34,"AskUbuntuDupQuestions":59.7,"MindSmallReranking":31.78,"SciDocsRR":80.04,"StackOverflowDupQuestions":49.83}
|
115 |
-
{"index":
|
116 |
-
{"index":
|
117 |
{"index":109,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.31,"AskUbuntuDupQuestions":61.15,"MindSmallReranking":30.6,"SciDocsRR":79.34,"StackOverflowDupQuestions":50.16}
|
118 |
{"index":141,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"Average":55.24,"AskUbuntuDupQuestions":60.35,"MindSmallReranking":30.98,"SciDocsRR":81.45,"StackOverflowDupQuestions":48.17}
|
119 |
{"index":214,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":256,"Max Tokens":8192,"Average":55.18,"AskUbuntuDupQuestions":61.34,"MindSmallReranking":30.04,"SciDocsRR":79.4,"StackOverflowDupQuestions":49.95}
|
@@ -125,9 +125,9 @@
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|
125 |
{"index":255,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.71,"AskUbuntuDupQuestions":62.86,"MindSmallReranking":29.77,"SciDocsRR":75.16,"StackOverflowDupQuestions":51.05}
|
126 |
{"index":87,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":54.67,"AskUbuntuDupQuestions":59.63,"MindSmallReranking":31.72,"SciDocsRR":77.72,"StackOverflowDupQuestions":49.61}
|
127 |
{"index":61,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
|
128 |
-
{"index":
|
129 |
-
{"index":
|
130 |
-
{"index":144,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":
|
131 |
{"index":148,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":54.58,"AskUbuntuDupQuestions":63.09,"MindSmallReranking":30.89,"SciDocsRR":74.28,"StackOverflowDupQuestions":50.06}
|
132 |
{"index":213,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"Average":54.56,"AskUbuntuDupQuestions":61.16,"MindSmallReranking":30.02,"SciDocsRR":78.05,"StackOverflowDupQuestions":49.0}
|
133 |
{"index":278,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.46,"AskUbuntuDupQuestions":57.69,"MindSmallReranking":30.32,"SciDocsRR":79.91,"StackOverflowDupQuestions":49.93}
|
@@ -136,8 +136,8 @@
|
|
136 |
{"index":170,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":54.32,"AskUbuntuDupQuestions":58.11,"MindSmallReranking":30.1,"SciDocsRR":79.16,"StackOverflowDupQuestions":49.93}
|
137 |
{"index":112,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":54.29,"AskUbuntuDupQuestions":58.08,"MindSmallReranking":31.07,"SciDocsRR":78.57,"StackOverflowDupQuestions":49.43}
|
138 |
{"index":272,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.29,"AskUbuntuDupQuestions":57.59,"MindSmallReranking":31.29,"SciDocsRR":82.14,"StackOverflowDupQuestions":46.13}
|
139 |
-
{"index":
|
140 |
-
{"index":
|
141 |
{"index":245,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.23,"AskUbuntuDupQuestions":60.86,"MindSmallReranking":31.33,"SciDocsRR":73.71,"StackOverflowDupQuestions":51.01}
|
142 |
{"index":209,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.14,"AskUbuntuDupQuestions":56.97,"MindSmallReranking":31.38,"SciDocsRR":79.46,"StackOverflowDupQuestions":48.75}
|
143 |
{"index":84,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":54.0,"AskUbuntuDupQuestions":58.13,"MindSmallReranking":31.34,"SciDocsRR":77.21,"StackOverflowDupQuestions":49.32}
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16 |
{"index":128,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.05,"AskUbuntuDupQuestions":64.7,"MindSmallReranking":32.82,"SciDocsRR":87.8,"StackOverflowDupQuestions":54.88}
|
17 |
{"index":102,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.04,"AskUbuntuDupQuestions":64.46,"MindSmallReranking":32.27,"SciDocsRR":87.56,"StackOverflowDupQuestions":55.85}
|
18 |
{"index":193,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.04,"AskUbuntuDupQuestions":64.46,"MindSmallReranking":32.27,"SciDocsRR":87.56,"StackOverflowDupQuestions":55.85}
|
19 |
+
{"index":228,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
20 |
+
{"index":229,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
21 |
{"index":23,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
22 |
{"index":271,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.0,"AskUbuntuDupQuestions":64.42,"MindSmallReranking":32.78,"SciDocsRR":87.61,"StackOverflowDupQuestions":55.19}
|
23 |
{"index":16,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":59.98,"AskUbuntuDupQuestions":64.55,"MindSmallReranking":33.94,"SciDocsRR":86.52,"StackOverflowDupQuestions":54.91}
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69 |
{"index":205,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":57.18,"AskUbuntuDupQuestions":60.23,"MindSmallReranking":31.71,"SciDocsRR":84.46,"StackOverflowDupQuestions":52.32}
|
70 |
{"index":192,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":57.12,"AskUbuntuDupQuestions":62.73,"MindSmallReranking":30.81,"SciDocsRR":85.11,"StackOverflowDupQuestions":49.85}
|
71 |
{"index":123,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aimlresearch2023\/jina-embeddings-v2-base-en-Q8_0-GGUF\">jina-embeddings-v2-base-en-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":56.98,"AskUbuntuDupQuestions":62.25,"MindSmallReranking":30.54,"SciDocsRR":83.1,"StackOverflowDupQuestions":52.05}
|
72 |
+
{"index":274,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":56.98,"AskUbuntuDupQuestions":62.25,"MindSmallReranking":30.54,"SciDocsRR":83.1,"StackOverflowDupQuestions":52.05}
|
73 |
+
{"index":186,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":56.98,"AskUbuntuDupQuestions":62.25,"MindSmallReranking":30.54,"SciDocsRR":83.1,"StackOverflowDupQuestions":52.05}
|
74 |
{"index":298,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":56.72,"AskUbuntuDupQuestions":62.18,"MindSmallReranking":29.93,"SciDocsRR":83.25,"StackOverflowDupQuestions":51.53}
|
75 |
{"index":248,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.66,"AskUbuntuDupQuestions":63.23,"MindSmallReranking":31.93,"SciDocsRR":77.96,"StackOverflowDupQuestions":53.5}
|
76 |
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{"index":167,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":56.61,"AskUbuntuDupQuestions":59.62,"MindSmallReranking":31.83,"SciDocsRR":84.31,"StackOverflowDupQuestions":50.68}
|
77 |
+
{"index":53,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":56.61,"AskUbuntuDupQuestions":59.62,"MindSmallReranking":31.83,"SciDocsRR":84.31,"StackOverflowDupQuestions":50.68}
|
78 |
{"index":88,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-msmarco-specb-bitfit\">SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":56.56,"AskUbuntuDupQuestions":61.63,"MindSmallReranking":32.29,"SciDocsRR":80.79,"StackOverflowDupQuestions":51.53}
|
79 |
{"index":166,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":56.53,"AskUbuntuDupQuestions":60.07,"MindSmallReranking":30.78,"SciDocsRR":83.94,"StackOverflowDupQuestions":51.33}
|
80 |
{"index":256,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.42,"AskUbuntuDupQuestions":66.16,"MindSmallReranking":30.6,"SciDocsRR":76.09,"StackOverflowDupQuestions":52.85}
|
81 |
+
{"index":183,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":56.42,"AskUbuntuDupQuestions":62.83,"MindSmallReranking":31.48,"SciDocsRR":80.97,"StackOverflowDupQuestions":50.38}
|
82 |
{"index":295,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":56.32,"AskUbuntuDupQuestions":62.05,"MindSmallReranking":31.45,"SciDocsRR":81.22,"StackOverflowDupQuestions":50.54}
|
83 |
+
{"index":119,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":56.26,"AskUbuntuDupQuestions":60.77,"MindSmallReranking":31.72,"SciDocsRR":84.26,"StackOverflowDupQuestions":48.3}
|
84 |
+
{"index":57,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":56.26,"AskUbuntuDupQuestions":60.77,"MindSmallReranking":31.72,"SciDocsRR":84.26,"StackOverflowDupQuestions":48.3}
|
85 |
{"index":160,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.2,"AskUbuntuDupQuestions":63.17,"MindSmallReranking":31.82,"SciDocsRR":78.83,"StackOverflowDupQuestions":50.99}
|
86 |
{"index":31,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":56.09,"AskUbuntuDupQuestions":60.11,"MindSmallReranking":31.87,"SciDocsRR":81.62,"StackOverflowDupQuestions":50.76}
|
87 |
{"index":247,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.96,"AskUbuntuDupQuestions":63.08,"MindSmallReranking":31.5,"SciDocsRR":76.49,"StackOverflowDupQuestions":52.79}
|
|
|
92 |
{"index":165,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.91,"AskUbuntuDupQuestions":58.98,"MindSmallReranking":31.29,"SciDocsRR":83.02,"StackOverflowDupQuestions":50.34}
|
93 |
{"index":54,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/multilingual-e5-large-GGUF\">multilingual-e5-large-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.86,"AskUbuntuDupQuestions":60.28,"MindSmallReranking":31.42,"SciDocsRR":82.04,"StackOverflowDupQuestions":49.72}
|
94 |
{"index":182,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.84,"AskUbuntuDupQuestions":62.4,"MindSmallReranking":31.56,"SciDocsRR":79.31,"StackOverflowDupQuestions":50.11}
|
95 |
+
{"index":285,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
96 |
+
{"index":98,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
97 |
+
{"index":117,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
98 |
{"index":217,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
99 |
{"index":113,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.77,"AskUbuntuDupQuestions":59.83,"MindSmallReranking":32.06,"SciDocsRR":81.54,"StackOverflowDupQuestions":49.65}
|
100 |
{"index":116,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/EminEmbed-multilingual-v1.0\">EminEmbed-multilingual-v1.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.74,"AskUbuntuDupQuestions":59.79,"MindSmallReranking":32.08,"SciDocsRR":81.58,"StackOverflowDupQuestions":49.51}
|
|
|
112 |
{"index":71,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":55.38,"AskUbuntuDupQuestions":60.71,"MindSmallReranking":31.96,"SciDocsRR":79.23,"StackOverflowDupQuestions":49.61}
|
113 |
{"index":246,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.36,"AskUbuntuDupQuestions":61.64,"MindSmallReranking":31.84,"SciDocsRR":76.39,"StackOverflowDupQuestions":51.58}
|
114 |
{"index":74,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Ivysaur\">Ivysaur<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.34,"AskUbuntuDupQuestions":59.7,"MindSmallReranking":31.78,"SciDocsRR":80.04,"StackOverflowDupQuestions":49.83}
|
115 |
+
{"index":187,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":55.32,"AskUbuntuDupQuestions":61.19,"MindSmallReranking":30.61,"SciDocsRR":79.3,"StackOverflowDupQuestions":50.18}
|
116 |
+
{"index":223,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.32,"AskUbuntuDupQuestions":61.19,"MindSmallReranking":30.61,"SciDocsRR":79.3,"StackOverflowDupQuestions":50.18}
|
117 |
{"index":109,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.31,"AskUbuntuDupQuestions":61.15,"MindSmallReranking":30.6,"SciDocsRR":79.34,"StackOverflowDupQuestions":50.16}
|
118 |
{"index":141,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"Average":55.24,"AskUbuntuDupQuestions":60.35,"MindSmallReranking":30.98,"SciDocsRR":81.45,"StackOverflowDupQuestions":48.17}
|
119 |
{"index":214,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":256,"Max Tokens":8192,"Average":55.18,"AskUbuntuDupQuestions":61.34,"MindSmallReranking":30.04,"SciDocsRR":79.4,"StackOverflowDupQuestions":49.95}
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|
|
125 |
{"index":255,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.71,"AskUbuntuDupQuestions":62.86,"MindSmallReranking":29.77,"SciDocsRR":75.16,"StackOverflowDupQuestions":51.05}
|
126 |
{"index":87,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":54.67,"AskUbuntuDupQuestions":59.63,"MindSmallReranking":31.72,"SciDocsRR":77.72,"StackOverflowDupQuestions":49.61}
|
127 |
{"index":61,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
|
128 |
+
{"index":136,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
|
129 |
+
{"index":185,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
|
130 |
+
{"index":144,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.63,"AskUbuntuDupQuestions":61.05,"MindSmallReranking":30.55,"SciDocsRR":79.83,"StackOverflowDupQuestions":47.1}
|
131 |
{"index":148,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":54.58,"AskUbuntuDupQuestions":63.09,"MindSmallReranking":30.89,"SciDocsRR":74.28,"StackOverflowDupQuestions":50.06}
|
132 |
{"index":213,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"Average":54.56,"AskUbuntuDupQuestions":61.16,"MindSmallReranking":30.02,"SciDocsRR":78.05,"StackOverflowDupQuestions":49.0}
|
133 |
{"index":278,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.46,"AskUbuntuDupQuestions":57.69,"MindSmallReranking":30.32,"SciDocsRR":79.91,"StackOverflowDupQuestions":49.93}
|
|
|
136 |
{"index":170,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":54.32,"AskUbuntuDupQuestions":58.11,"MindSmallReranking":30.1,"SciDocsRR":79.16,"StackOverflowDupQuestions":49.93}
|
137 |
{"index":112,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":54.29,"AskUbuntuDupQuestions":58.08,"MindSmallReranking":31.07,"SciDocsRR":78.57,"StackOverflowDupQuestions":49.43}
|
138 |
{"index":272,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.29,"AskUbuntuDupQuestions":57.59,"MindSmallReranking":31.29,"SciDocsRR":82.14,"StackOverflowDupQuestions":46.13}
|
139 |
+
{"index":177,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":54.28,"AskUbuntuDupQuestions":59.5,"MindSmallReranking":30.51,"SciDocsRR":78.11,"StackOverflowDupQuestions":49.0}
|
140 |
+
{"index":111,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":54.28,"AskUbuntuDupQuestions":58.09,"MindSmallReranking":31.29,"SciDocsRR":78.78,"StackOverflowDupQuestions":48.96}
|
141 |
{"index":245,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.23,"AskUbuntuDupQuestions":60.86,"MindSmallReranking":31.33,"SciDocsRR":73.71,"StackOverflowDupQuestions":51.01}
|
142 |
{"index":209,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.14,"AskUbuntuDupQuestions":56.97,"MindSmallReranking":31.38,"SciDocsRR":79.46,"StackOverflowDupQuestions":48.75}
|
143 |
{"index":84,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":54.0,"AskUbuntuDupQuestions":58.13,"MindSmallReranking":31.34,"SciDocsRR":77.21,"StackOverflowDupQuestions":49.32}
|
all_data_tasks/33/default.jsonl
CHANGED
@@ -13,8 +13,8 @@
|
|
13 |
{"index":50,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":312,"Max Tokens":2048,"TERRa":56.27}
|
14 |
{"index":35,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":55.71}
|
15 |
{"index":21,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/LaBSE-en-ru\">LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":55.61}
|
16 |
-
{"index":
|
17 |
-
{"index":
|
18 |
{"index":29,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"TERRa":54.96}
|
19 |
{"index":7,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased\">rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":53.17}
|
20 |
{"index":6,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/distilrubert-small-cased-conversational\">distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":53.02}
|
|
|
13 |
{"index":50,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":312,"Max Tokens":2048,"TERRa":56.27}
|
14 |
{"index":35,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":55.71}
|
15 |
{"index":21,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/LaBSE-en-ru\">LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":55.61}
|
16 |
+
{"index":32,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"TERRa":55.14}
|
17 |
+
{"index":13,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"TERRa":55.14}
|
18 |
{"index":29,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"TERRa":54.96}
|
19 |
{"index":7,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased\">rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":53.17}
|
20 |
{"index":6,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/distilrubert-small-cased-conversational\">distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":53.02}
|
all_data_tasks/4/default.jsonl
CHANGED
@@ -27,14 +27,14 @@
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|
27 |
{"index":8,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":55.58,"ArguAna":58.73,"ClimateFEVER":37.47,"CQADupstackRetrieval":45.11,"DBPedia":43.42,"FEVER":89.71,"FiQA2018":44.79,"HotpotQA":70.46,"MSMARCO":39.66,"NFCorpus":43.33,"NQ":60.65,"QuoraRetrieval":87.83,"SCIDOCS":23.19,"SciFact":73.64,"Touche2020":36.83,"TRECCOVID":78.92}
|
28 |
{"index":189,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":55.52,"ArguAna":58.52,"ClimateFEVER":34.56,"CQADupstackRetrieval":46.91,"DBPedia":46.83,"FEVER":91.22,"FiQA2018":54.51,"HotpotQA":76.41,"MSMARCO":43.25,"NFCorpus":39.55,"NQ":62.31,"QuoraRetrieval":89.34,"SCIDOCS":20.17,"SciFact":73.99,"Touche2020":18.52,"TRECCOVID":76.66}
|
29 |
{"index":297,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":55.44,"ArguAna":58.05,"ClimateFEVER":30.27,"CQADupstackRetrieval":47.54,"DBPedia":44.76,"FEVER":87.94,"FiQA2018":55.0,"HotpotQA":71.58,"MSMARCO":40.24,"NFCorpus":42.07,"NQ":61.27,"QuoraRetrieval":89.05,"SCIDOCS":23.11,"SciFact":77.77,"Touche2020":23.35,"TRECCOVID":79.56}
|
30 |
-
{"index":
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31 |
-
{"index":
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32 |
{"index":44,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":55.09,"ArguAna":59.49,"ClimateFEVER":28.69,"CQADupstackRetrieval":47.63,"DBPedia":46.54,"FEVER":85.02,"FiQA2018":49.89,"HotpotQA":73.83,"MSMARCO":35.55,"NFCorpus":39.05,"NQ":63.87,"QuoraRetrieval":87.7,"SCIDOCS":23.06,"SciFact":77.02,"Touche2020":27.97,"TRECCOVID":81.07}
|
33 |
{"index":32,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":55.0,"ArguAna":61.52,"ClimateFEVER":38.43,"CQADupstackRetrieval":41.53,"DBPedia":43.36,"FEVER":88.97,"FiQA2018":42.19,"HotpotQA":70.72,"MSMARCO":42.93,"NFCorpus":38.57,"NQ":61.56,"QuoraRetrieval":88.72,"SCIDOCS":20.31,"SciFact":71.83,"Touche2020":32.42,"TRECCOVID":81.92}
|
34 |
{"index":106,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.91,"ArguAna":56.44,"ClimateFEVER":39.37,"CQADupstackRetrieval":43.81,"DBPedia":44.73,"FEVER":89.02,"FiQA2018":42.4,"HotpotQA":73.65,"MSMARCO":41.77,"NFCorpus":36.77,"NQ":62.43,"QuoraRetrieval":87.42,"SCIDOCS":21.1,"SciFact":73.55,"Touche2020":31.47,"TRECCOVID":79.65}
|
35 |
{"index":63,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/marqo-chimera-arctic-bge-m\">marqo-chimera-arctic-bge-m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.87,"ArguAna":59.06,"ClimateFEVER":36.7,"CQADupstackRetrieval":42.61,"DBPedia":44.26,"FEVER":88.4,"FiQA2018":44.35,"HotpotQA":74.83,"MSMARCO":43.29,"NFCorpus":38.21,"NQ":53.58,"QuoraRetrieval":88.97,"SCIDOCS":21.75,"SciFact":75.32,"Touche2020":30.69,"TRECCOVID":81.04}
|
36 |
-
{"index":
|
37 |
-
{"index":
|
38 |
{"index":114,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.66,"ArguAna":66.15,"ClimateFEVER":38.53,"CQADupstackRetrieval":40.93,"DBPedia":44.89,"FEVER":88.24,"FiQA2018":44.84,"HotpotQA":73.13,"MSMARCO":41.4,"NFCorpus":38.65,"NQ":55.86,"QuoraRetrieval":89.02,"SCIDOCS":22.98,"SciFact":74.07,"Touche2020":24.93,"TRECCOVID":76.33}
|
39 |
{"index":65,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":54.6,"ArguAna":56.53,"ClimateFEVER":30.7,"CQADupstackRetrieval":45.94,"DBPedia":48.42,"FEVER":89.93,"FiQA2018":51.28,"HotpotQA":72.99,"MSMARCO":41.46,"NFCorpus":40.33,"NQ":61.24,"QuoraRetrieval":85.59,"SCIDOCS":21.05,"SciFact":77.3,"Touche2020":16.92,"TRECCOVID":79.25}
|
40 |
{"index":201,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.39,"ArguAna":66.02,"ClimateFEVER":36.09,"CQADupstackRetrieval":41.6,"DBPedia":44.51,"FEVER":86.91,"FiQA2018":45.27,"HotpotQA":72.03,"MSMARCO":41.26,"NFCorpus":38.64,"NQ":55.79,"QuoraRetrieval":88.98,"SCIDOCS":23.32,"SciFact":74.73,"Touche2020":25.2,"TRECCOVID":75.57}
|
@@ -107,7 +107,7 @@
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|
107 |
{"index":160,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.12,"ArguAna":52.03,"ClimateFEVER":27.95,"CQADupstackRetrieval":40.95,"DBPedia":33.34,"FEVER":71.85,"FiQA2018":39.18,"HotpotQA":54.19,"MSMARCO":37.76,"NFCorpus":31.59,"NQ":45.88,"QuoraRetrieval":88.19,"SCIDOCS":17.09,"SciFact":57.83,"Touche2020":20.37,"TRECCOVID":58.55}
|
108 |
{"index":192,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.99,"ArguAna":39.21,"ClimateFEVER":25.02,"CQADupstackRetrieval":38.91,"DBPedia":38.79,"FEVER":78.0,"FiQA2018":45.02,"HotpotQA":57.14,"MSMARCO":36.51,"NFCorpus":31.57,"NQ":52.83,"QuoraRetrieval":87.79,"SCIDOCS":15.62,"SciFact":69.32,"Touche2020":13.87,"TRECCOVID":45.22}
|
109 |
{"index":113,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":44.92,"ArguAna":53.64,"ClimateFEVER":24.71,"CQADupstackRetrieval":37.8,"DBPedia":35.97,"FEVER":70.11,"FiQA2018":31.42,"HotpotQA":55.7,"MSMARCO":34.51,"NFCorpus":32.04,"NQ":43.03,"QuoraRetrieval":87.04,"SCIDOCS":19.07,"SciFact":67.51,"Touche2020":22.08,"TRECCOVID":59.21}
|
110 |
-
{"index":183,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":
|
111 |
{"index":245,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.67,"ArguAna":50.83,"ClimateFEVER":24.88,"CQADupstackRetrieval":34.55,"DBPedia":35.24,"FEVER":68.93,"FiQA2018":35.15,"HotpotQA":54.93,"MSMARCO":41.16,"NFCorpus":30.22,"NQ":50.47,"QuoraRetrieval":87.98,"SCIDOCS":14.0,"SciFact":59.74,"Touche2020":25.89,"TRECCOVID":56.05}
|
112 |
{"index":84,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":44.49,"ArguAna":49.68,"ClimateFEVER":26.6,"CQADupstackRetrieval":33.33,"DBPedia":31.51,"FEVER":68.12,"FiQA2018":29.99,"HotpotQA":49.93,"MSMARCO":36.05,"NFCorpus":32.08,"NQ":42.94,"QuoraRetrieval":85.28,"SCIDOCS":16.18,"SciFact":68.29,"Touche2020":24.45,"TRECCOVID":72.98}
|
113 |
{"index":182,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.03,"ArguAna":49.01,"ClimateFEVER":21.48,"CQADupstackRetrieval":37.48,"DBPedia":32.44,"FEVER":73.29,"FiQA2018":34.06,"HotpotQA":52.78,"MSMARCO":37.77,"NFCorpus":30.38,"NQ":47.88,"QuoraRetrieval":87.63,"SCIDOCS":17.63,"SciFact":59.39,"Touche2020":18.59,"TRECCOVID":60.57}
|
@@ -127,7 +127,7 @@
|
|
127 |
{"index":12,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/xhluca\/bm25s\">bm25s<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.84,"ArguAna":49.28,"ClimateFEVER":13.62,"CQADupstackRetrieval":31.86,"DBPedia":29.91,"FEVER":48.09,"FiQA2018":25.14,"HotpotQA":56.91,"MSMARCO":21.89,"NFCorpus":32.08,"NQ":28.5,"QuoraRetrieval":80.42,"SCIDOCS":15.78,"SciFact":68.7,"Touche2020":33.05,"TRECCOVID":62.31}
|
128 |
{"index":68,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse\">LLM2Vec-Meta-Llama-3-unsupervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":39.19,"ArguAna":51.73,"ClimateFEVER":23.58,"CQADupstackRetrieval":32.4,"DBPedia":26.78,"FEVER":53.42,"FiQA2018":28.56,"HotpotQA":52.37,"MSMARCO":17.47,"NFCorpus":26.28,"NQ":37.65,"QuoraRetrieval":84.64,"SCIDOCS":10.39,"SciFact":66.36,"Touche2020":12.82,"TRECCOVID":63.34}
|
129 |
{"index":184,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-s-en-v1\">jina-embedding-s-en-v1<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":512,"Max Tokens":512,"Average":38.91,"ArguAna":43.57,"ClimateFEVER":17.25,"CQADupstackRetrieval":33.74,"DBPedia":28.28,"FEVER":69.12,"FiQA2018":25.19,"HotpotQA":47.48,"MSMARCO":31.8,"NFCorpus":25.96,"NQ":38.89,"QuoraRetrieval":85.69,"SCIDOCS":15.29,"SciFact":52.4,"Touche2020":16.67,"TRECCOVID":52.3}
|
130 |
-
{"index":144,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":
|
131 |
{"index":255,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":38.47,"ArguAna":39.4,"ClimateFEVER":10.61,"CQADupstackRetrieval":40.78,"DBPedia":33.65,"FEVER":36.12,"FiQA2018":44.71,"HotpotQA":37.17,"MSMARCO":25.17,"NFCorpus":33.18,"NQ":46.29,"QuoraRetrieval":85.85,"SCIDOCS":15.97,"SciFact":50.91,"Touche2020":22.51,"TRECCOVID":54.77}
|
132 |
{"index":70,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":38.05,"ArguAna":51.0,"ClimateFEVER":22.97,"CQADupstackRetrieval":33.37,"DBPedia":25.48,"FEVER":45.11,"FiQA2018":27.24,"HotpotQA":54.54,"MSMARCO":19.13,"NFCorpus":27.16,"NQ":34.16,"QuoraRetrieval":84.4,"SCIDOCS":15.35,"SciFact":68.68,"Touche2020":6.54,"TRECCOVID":55.67}
|
133 |
{"index":73,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.94,"ArguAna":44.8,"ClimateFEVER":17.69,"CQADupstackRetrieval":38.2,"DBPedia":32.97,"FEVER":45.91,"FiQA2018":21.29,"HotpotQA":51.52,"MSMARCO":29.49,"NFCorpus":26.78,"NQ":32.6,"QuoraRetrieval":85.3,"SCIDOCS":15.31,"SciFact":63.23,"Touche2020":16.3,"TRECCOVID":47.77}
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27 |
{"index":8,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":55.58,"ArguAna":58.73,"ClimateFEVER":37.47,"CQADupstackRetrieval":45.11,"DBPedia":43.42,"FEVER":89.71,"FiQA2018":44.79,"HotpotQA":70.46,"MSMARCO":39.66,"NFCorpus":43.33,"NQ":60.65,"QuoraRetrieval":87.83,"SCIDOCS":23.19,"SciFact":73.64,"Touche2020":36.83,"TRECCOVID":78.92}
|
28 |
{"index":189,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":55.52,"ArguAna":58.52,"ClimateFEVER":34.56,"CQADupstackRetrieval":46.91,"DBPedia":46.83,"FEVER":91.22,"FiQA2018":54.51,"HotpotQA":76.41,"MSMARCO":43.25,"NFCorpus":39.55,"NQ":62.31,"QuoraRetrieval":89.34,"SCIDOCS":20.17,"SciFact":73.99,"Touche2020":18.52,"TRECCOVID":76.66}
|
29 |
{"index":297,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":55.44,"ArguAna":58.05,"ClimateFEVER":30.27,"CQADupstackRetrieval":47.54,"DBPedia":44.76,"FEVER":87.94,"FiQA2018":55.0,"HotpotQA":71.58,"MSMARCO":40.24,"NFCorpus":42.07,"NQ":61.27,"QuoraRetrieval":89.05,"SCIDOCS":23.11,"SciFact":77.77,"Touche2020":23.35,"TRECCOVID":79.56}
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30 |
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{"index":202,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/msyukorai\/snowflake-arctic-embed-m-v1.5-Q4_K_M-GGUF\">snowflake-arctic-embed-m-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.14,"ArguAna":59.53,"ClimateFEVER":36.85,"CQADupstackRetrieval":44.99,"DBPedia":45.55,"FEVER":88.41,"FiQA2018":42.4,"HotpotQA":72.21,"MSMARCO":42.03,"NFCorpus":36.2,"NQ":62.46,"QuoraRetrieval":87.37,"SCIDOCS":21.49,"SciFact":71.59,"Touche2020":31.43,"TRECCOVID":84.61}
|
31 |
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{"index":108,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.14,"ArguAna":59.53,"ClimateFEVER":36.85,"CQADupstackRetrieval":44.99,"DBPedia":45.55,"FEVER":88.41,"FiQA2018":42.4,"HotpotQA":72.21,"MSMARCO":42.03,"NFCorpus":36.2,"NQ":62.46,"QuoraRetrieval":87.37,"SCIDOCS":21.49,"SciFact":71.59,"Touche2020":31.43,"TRECCOVID":84.61}
|
32 |
{"index":44,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":55.09,"ArguAna":59.49,"ClimateFEVER":28.69,"CQADupstackRetrieval":47.63,"DBPedia":46.54,"FEVER":85.02,"FiQA2018":49.89,"HotpotQA":73.83,"MSMARCO":35.55,"NFCorpus":39.05,"NQ":63.87,"QuoraRetrieval":87.7,"SCIDOCS":23.06,"SciFact":77.02,"Touche2020":27.97,"TRECCOVID":81.07}
|
33 |
{"index":32,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":55.0,"ArguAna":61.52,"ClimateFEVER":38.43,"CQADupstackRetrieval":41.53,"DBPedia":43.36,"FEVER":88.97,"FiQA2018":42.19,"HotpotQA":70.72,"MSMARCO":42.93,"NFCorpus":38.57,"NQ":61.56,"QuoraRetrieval":88.72,"SCIDOCS":20.31,"SciFact":71.83,"Touche2020":32.42,"TRECCOVID":81.92}
|
34 |
{"index":106,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.91,"ArguAna":56.44,"ClimateFEVER":39.37,"CQADupstackRetrieval":43.81,"DBPedia":44.73,"FEVER":89.02,"FiQA2018":42.4,"HotpotQA":73.65,"MSMARCO":41.77,"NFCorpus":36.77,"NQ":62.43,"QuoraRetrieval":87.42,"SCIDOCS":21.1,"SciFact":73.55,"Touche2020":31.47,"TRECCOVID":79.65}
|
35 |
{"index":63,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/marqo-chimera-arctic-bge-m\">marqo-chimera-arctic-bge-m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.87,"ArguAna":59.06,"ClimateFEVER":36.7,"CQADupstackRetrieval":42.61,"DBPedia":44.26,"FEVER":88.4,"FiQA2018":44.35,"HotpotQA":74.83,"MSMARCO":43.29,"NFCorpus":38.21,"NQ":53.58,"QuoraRetrieval":88.97,"SCIDOCS":21.75,"SciFact":75.32,"Touche2020":30.69,"TRECCOVID":81.04}
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36 |
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{"index":279,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.83,"ArguAna":60.36,"ClimateFEVER":38.33,"CQADupstackRetrieval":44.21,"DBPedia":45.29,"FEVER":86.89,"FiQA2018":42.16,"HotpotQA":72.76,"MSMARCO":41.97,"NFCorpus":35.87,"NQ":62.34,"QuoraRetrieval":87.72,"SCIDOCS":20.47,"SciFact":69.96,"Touche2020":32.35,"TRECCOVID":81.7}
|
37 |
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{"index":107,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":54.83,"ArguAna":60.36,"ClimateFEVER":38.33,"CQADupstackRetrieval":44.21,"DBPedia":45.29,"FEVER":86.89,"FiQA2018":42.16,"HotpotQA":72.76,"MSMARCO":41.97,"NFCorpus":35.87,"NQ":62.34,"QuoraRetrieval":87.72,"SCIDOCS":20.47,"SciFact":69.96,"Touche2020":32.35,"TRECCOVID":81.7}
|
38 |
{"index":114,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.66,"ArguAna":66.15,"ClimateFEVER":38.53,"CQADupstackRetrieval":40.93,"DBPedia":44.89,"FEVER":88.24,"FiQA2018":44.84,"HotpotQA":73.13,"MSMARCO":41.4,"NFCorpus":38.65,"NQ":55.86,"QuoraRetrieval":89.02,"SCIDOCS":22.98,"SciFact":74.07,"Touche2020":24.93,"TRECCOVID":76.33}
|
39 |
{"index":65,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":54.6,"ArguAna":56.53,"ClimateFEVER":30.7,"CQADupstackRetrieval":45.94,"DBPedia":48.42,"FEVER":89.93,"FiQA2018":51.28,"HotpotQA":72.99,"MSMARCO":41.46,"NFCorpus":40.33,"NQ":61.24,"QuoraRetrieval":85.59,"SCIDOCS":21.05,"SciFact":77.3,"Touche2020":16.92,"TRECCOVID":79.25}
|
40 |
{"index":201,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.39,"ArguAna":66.02,"ClimateFEVER":36.09,"CQADupstackRetrieval":41.6,"DBPedia":44.51,"FEVER":86.91,"FiQA2018":45.27,"HotpotQA":72.03,"MSMARCO":41.26,"NFCorpus":38.64,"NQ":55.79,"QuoraRetrieval":88.98,"SCIDOCS":23.32,"SciFact":74.73,"Touche2020":25.2,"TRECCOVID":75.57}
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|
107 |
{"index":160,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.12,"ArguAna":52.03,"ClimateFEVER":27.95,"CQADupstackRetrieval":40.95,"DBPedia":33.34,"FEVER":71.85,"FiQA2018":39.18,"HotpotQA":54.19,"MSMARCO":37.76,"NFCorpus":31.59,"NQ":45.88,"QuoraRetrieval":88.19,"SCIDOCS":17.09,"SciFact":57.83,"Touche2020":20.37,"TRECCOVID":58.55}
|
108 |
{"index":192,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.99,"ArguAna":39.21,"ClimateFEVER":25.02,"CQADupstackRetrieval":38.91,"DBPedia":38.79,"FEVER":78.0,"FiQA2018":45.02,"HotpotQA":57.14,"MSMARCO":36.51,"NFCorpus":31.57,"NQ":52.83,"QuoraRetrieval":87.79,"SCIDOCS":15.62,"SciFact":69.32,"Touche2020":13.87,"TRECCOVID":45.22}
|
109 |
{"index":113,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":44.92,"ArguAna":53.64,"ClimateFEVER":24.71,"CQADupstackRetrieval":37.8,"DBPedia":35.97,"FEVER":70.11,"FiQA2018":31.42,"HotpotQA":55.7,"MSMARCO":34.51,"NFCorpus":32.04,"NQ":43.03,"QuoraRetrieval":87.04,"SCIDOCS":19.07,"SciFact":67.51,"Touche2020":22.08,"TRECCOVID":59.21}
|
110 |
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{"index":183,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.81,"ArguAna":46.48,"ClimateFEVER":21.21,"CQADupstackRetrieval":37.96,"DBPedia":34.13,"FEVER":71.9,"FiQA2018":37.27,"HotpotQA":54.95,"MSMARCO":40.34,"NFCorpus":32.24,"NQ":51.4,"QuoraRetrieval":88.09,"SCIDOCS":18.45,"SciFact":59.76,"Touche2020":20.73,"TRECCOVID":57.25}
|
111 |
{"index":245,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.67,"ArguAna":50.83,"ClimateFEVER":24.88,"CQADupstackRetrieval":34.55,"DBPedia":35.24,"FEVER":68.93,"FiQA2018":35.15,"HotpotQA":54.93,"MSMARCO":41.16,"NFCorpus":30.22,"NQ":50.47,"QuoraRetrieval":87.98,"SCIDOCS":14.0,"SciFact":59.74,"Touche2020":25.89,"TRECCOVID":56.05}
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112 |
{"index":84,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":44.49,"ArguAna":49.68,"ClimateFEVER":26.6,"CQADupstackRetrieval":33.33,"DBPedia":31.51,"FEVER":68.12,"FiQA2018":29.99,"HotpotQA":49.93,"MSMARCO":36.05,"NFCorpus":32.08,"NQ":42.94,"QuoraRetrieval":85.28,"SCIDOCS":16.18,"SciFact":68.29,"Touche2020":24.45,"TRECCOVID":72.98}
|
113 |
{"index":182,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.03,"ArguAna":49.01,"ClimateFEVER":21.48,"CQADupstackRetrieval":37.48,"DBPedia":32.44,"FEVER":73.29,"FiQA2018":34.06,"HotpotQA":52.78,"MSMARCO":37.77,"NFCorpus":30.38,"NQ":47.88,"QuoraRetrieval":87.63,"SCIDOCS":17.63,"SciFact":59.39,"Touche2020":18.59,"TRECCOVID":60.57}
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|
127 |
{"index":12,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/xhluca\/bm25s\">bm25s<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.84,"ArguAna":49.28,"ClimateFEVER":13.62,"CQADupstackRetrieval":31.86,"DBPedia":29.91,"FEVER":48.09,"FiQA2018":25.14,"HotpotQA":56.91,"MSMARCO":21.89,"NFCorpus":32.08,"NQ":28.5,"QuoraRetrieval":80.42,"SCIDOCS":15.78,"SciFact":68.7,"Touche2020":33.05,"TRECCOVID":62.31}
|
128 |
{"index":68,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse\">LLM2Vec-Meta-Llama-3-unsupervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":39.19,"ArguAna":51.73,"ClimateFEVER":23.58,"CQADupstackRetrieval":32.4,"DBPedia":26.78,"FEVER":53.42,"FiQA2018":28.56,"HotpotQA":52.37,"MSMARCO":17.47,"NFCorpus":26.28,"NQ":37.65,"QuoraRetrieval":84.64,"SCIDOCS":10.39,"SciFact":66.36,"Touche2020":12.82,"TRECCOVID":63.34}
|
129 |
{"index":184,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-s-en-v1\">jina-embedding-s-en-v1<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":512,"Max Tokens":512,"Average":38.91,"ArguAna":43.57,"ClimateFEVER":17.25,"CQADupstackRetrieval":33.74,"DBPedia":28.28,"FEVER":69.12,"FiQA2018":25.19,"HotpotQA":47.48,"MSMARCO":31.8,"NFCorpus":25.96,"NQ":38.89,"QuoraRetrieval":85.69,"SCIDOCS":15.29,"SciFact":52.4,"Touche2020":16.67,"TRECCOVID":52.3}
|
130 |
+
{"index":144,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":38.79,"ArguAna":52.03,"ClimateFEVER":21.82,"CQADupstackRetrieval":34.46,"DBPedia":26.51,"FEVER":56.32,"FiQA2018":30.59,"HotpotQA":42.09,"MSMARCO":27.68,"NFCorpus":26.43,"NQ":37.93,"QuoraRetrieval":85.56,"SCIDOCS":16.6,"SciFact":59.95,"Touche2020":18.85,"TRECCOVID":45.1}
|
131 |
{"index":255,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":38.47,"ArguAna":39.4,"ClimateFEVER":10.61,"CQADupstackRetrieval":40.78,"DBPedia":33.65,"FEVER":36.12,"FiQA2018":44.71,"HotpotQA":37.17,"MSMARCO":25.17,"NFCorpus":33.18,"NQ":46.29,"QuoraRetrieval":85.85,"SCIDOCS":15.97,"SciFact":50.91,"Touche2020":22.51,"TRECCOVID":54.77}
|
132 |
{"index":70,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":38.05,"ArguAna":51.0,"ClimateFEVER":22.97,"CQADupstackRetrieval":33.37,"DBPedia":25.48,"FEVER":45.11,"FiQA2018":27.24,"HotpotQA":54.54,"MSMARCO":19.13,"NFCorpus":27.16,"NQ":34.16,"QuoraRetrieval":84.4,"SCIDOCS":15.35,"SciFact":68.68,"Touche2020":6.54,"TRECCOVID":55.67}
|
133 |
{"index":73,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.94,"ArguAna":44.8,"ClimateFEVER":17.69,"CQADupstackRetrieval":38.2,"DBPedia":32.97,"FEVER":45.91,"FiQA2018":21.29,"HotpotQA":51.52,"MSMARCO":29.49,"NFCorpus":26.78,"NQ":32.6,"QuoraRetrieval":85.3,"SCIDOCS":15.31,"SciFact":63.23,"Touche2020":16.3,"TRECCOVID":47.77}
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all_data_tasks/5/default.jsonl
CHANGED
@@ -33,14 +33,14 @@
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|
33 |
{"index":223,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.49,"BIOSSES":83.05,"SICK-R":83.01,"STS12":81.62,"STS13":86.82,"STS14":83.56,"STS15":88.75,"STS16":86.03,"STS17 (en-en)":88.56,"STS22 (en)":65.62,"STSBenchmark":87.84}
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34 |
{"index":43,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":83.35,"BIOSSES":86.32,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.14,"STS22 (en)":68.63,"STSBenchmark":85.64}
|
35 |
{"index":264,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.35,"BIOSSES":88.65,"SICK-R":79.81,"STS12":76.81,"STS13":88.11,"STS14":82.66,"STS15":88.93,"STS16":84.25,"STS17 (en-en)":88.47,"STS22 (en)":69.71,"STSBenchmark":86.07}
|
36 |
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{"index":
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37 |
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{"index":
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38 |
{"index":44,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":83.26,"BIOSSES":87.34,"SICK-R":80.56,"STS12":73.69,"STS13":85.82,"STS14":82.05,"STS15":88.8,"STS16":86.2,"STS17 (en-en)":91.46,"STS22 (en)":69.21,"STSBenchmark":87.43}
|
39 |
{"index":34,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":83.15,"BIOSSES":85.01,"SICK-R":82.18,"STS12":77.62,"STS13":85.16,"STS14":80.02,"STS15":88.92,"STS16":86.92,"STS17 (en-en)":90.09,"STS22 (en)":66.81,"STSBenchmark":88.79}
|
40 |
{"index":161,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.15,"BIOSSES":84.39,"SICK-R":81.27,"STS12":76.28,"STS13":88.18,"STS14":81.92,"STS15":89.01,"STS16":85.49,"STS17 (en-en)":90.3,"STS22 (en)":67.74,"STSBenchmark":86.88}
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41 |
-
{"index":
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42 |
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{"index":
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43 |
-
{"index":
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44 |
{"index":162,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.06,"BIOSSES":84.15,"SICK-R":81.7,"STS12":75.32,"STS13":87.44,"STS14":81.87,"STS15":88.94,"STS16":85.38,"STS17 (en-en)":90.54,"STS22 (en)":68.65,"STSBenchmark":86.56}
|
45 |
{"index":17,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":83.04,"BIOSSES":81.37,"SICK-R":79.28,"STS12":79.55,"STS13":88.83,"STS14":83.87,"STS15":88.54,"STS16":86.49,"STS17 (en-en)":88.73,"STS22 (en)":66.88,"STSBenchmark":86.85}
|
46 |
{"index":129,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":83.03,"BIOSSES":86.99,"SICK-R":80.53,"STS12":75.57,"STS13":86.26,"STS14":82.3,"STS15":88.74,"STS16":85.27,"STS17 (en-en)":89.02,"STS22 (en)":68.51,"STSBenchmark":87.08}
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@@ -55,14 +55,14 @@
|
|
55 |
{"index":16,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":82.73,"BIOSSES":82.11,"SICK-R":80.49,"STS12":77.25,"STS13":87.79,"STS14":82.91,"STS15":88.45,"STS16":85.45,"STS17 (en-en)":90.33,"STS22 (en)":66.1,"STSBenchmark":86.38}
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56 |
{"index":256,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.63,"BIOSSES":80.43,"SICK-R":80.47,"STS12":78.85,"STS13":88.94,"STS14":84.86,"STS15":89.32,"STS16":84.67,"STS17 (en-en)":89.46,"STS22 (en)":65.33,"STSBenchmark":84.01}
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57 |
{"index":32,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":82.62,"BIOSSES":83.5,"SICK-R":81.27,"STS12":74.37,"STS13":85.2,"STS14":80.98,"STS15":89.23,"STS16":86.32,"STS17 (en-en)":90.34,"STS22 (en)":66.42,"STSBenchmark":88.55}
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58 |
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{"index":
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59 |
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{"index":
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60 |
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{"index":
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61 |
{"index":189,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.56,"BIOSSES":86.54,"SICK-R":83.23,"STS12":76.13,"STS13":83.19,"STS14":80.6,"STS15":87.16,"STS16":85.16,"STS17 (en-en)":90.88,"STS22 (en)":67.04,"STSBenchmark":85.67}
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62 |
{"index":207,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.5,"BIOSSES":85.64,"SICK-R":80.74,"STS12":76.07,"STS13":86.81,"STS14":81.68,"STS15":88.75,"STS16":84.61,"STS17 (en-en)":89.75,"STS22 (en)":64.1,"STSBenchmark":86.88}
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63 |
{"index":15,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.42,"BIOSSES":81.12,"SICK-R":79.15,"STS12":76.52,"STS13":88.63,"STS14":83.32,"STS15":87.5,"STS16":86.39,"STS17 (en-en)":87.79,"STS22 (en)":66.4,"STSBenchmark":87.35}
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64 |
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{"index":
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65 |
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{"index":
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66 |
{"index":178,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":82.37,"BIOSSES":84.82,"SICK-R":80.85,"STS12":76.1,"STS13":85.49,"STS14":80.44,"STS15":87.75,"STS16":85.42,"STS17 (en-en)":89.95,"STS22 (en)":65.13,"STSBenchmark":87.71}
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67 |
{"index":263,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.3,"BIOSSES":87.64,"SICK-R":78.86,"STS12":75.71,"STS13":85.73,"STS14":81.51,"STS15":88.81,"STS16":83.82,"STS17 (en-en)":87.9,"STS22 (en)":67.33,"STSBenchmark":85.73}
|
68 |
{"index":160,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.29,"BIOSSES":82.31,"SICK-R":80.26,"STS12":77.02,"STS13":86.58,"STS14":81.32,"STS15":88.19,"STS16":84.88,"STS17 (en-en)":89.46,"STS22 (en)":66.45,"STSBenchmark":86.43}
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@@ -71,13 +71,13 @@
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|
71 |
{"index":265,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.07,"BIOSSES":88.17,"SICK-R":77.93,"STS12":75.12,"STS13":85.09,"STS14":81.03,"STS15":88.32,"STS16":83.91,"STS17 (en-en)":87.59,"STS22 (en)":68.0,"STSBenchmark":85.57}
|
72 |
{"index":210,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
|
73 |
{"index":166,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.06,"BIOSSES":84.73,"SICK-R":80.49,"STS12":75.93,"STS13":85.22,"STS14":80.54,"STS15":88.81,"STS16":85.28,"STS17 (en-en)":89.37,"STS22 (en)":62.99,"STSBenchmark":87.21}
|
74 |
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{"index":
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75 |
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{"index":
|
76 |
{"index":208,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.04,"BIOSSES":86.66,"SICK-R":79.44,"STS12":76.17,"STS13":84.15,"STS14":81.49,"STS15":88.11,"STS16":84.99,"STS17 (en-en)":87.98,"STS22 (en)":65.07,"STSBenchmark":86.31}
|
77 |
{"index":18,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.97,"BIOSSES":83.65,"SICK-R":79.37,"STS12":74.38,"STS13":84.71,"STS14":80.1,"STS15":87.16,"STS16":85.02,"STS17 (en-en)":90.64,"STS22 (en)":68.63,"STSBenchmark":86.04}
|
78 |
-
{"index":
|
79 |
-
{"index":
|
80 |
-
{"index":
|
81 |
{"index":217,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
82 |
{"index":59,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":81.93,"BIOSSES":83.99,"SICK-R":74.65,"STS12":79.39,"STS13":85.32,"STS14":83.9,"STS15":88.47,"STS16":84.44,"STS17 (en-en)":85.77,"STS22 (en)":67.24,"STSBenchmark":86.08}
|
83 |
{"index":281,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.9,"BIOSSES":85.83,"SICK-R":79.0,"STS12":73.48,"STS13":86.14,"STS14":80.36,"STS15":88.53,"STS16":84.08,"STS17 (en-en)":89.42,"STS22 (en)":66.75,"STSBenchmark":85.45}
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@@ -97,20 +97,20 @@
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|
97 |
{"index":100,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":81.26,"BIOSSES":87.6,"SICK-R":77.01,"STS12":75.67,"STS13":82.4,"STS14":79.93,"STS15":85.82,"STS16":84.5,"STS17 (en-en)":88.93,"STS22 (en)":67.1,"STSBenchmark":83.6}
|
98 |
{"index":205,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.19,"BIOSSES":83.94,"SICK-R":78.64,"STS12":74.88,"STS13":83.64,"STS14":80.4,"STS15":88.01,"STS16":84.31,"STS17 (en-en)":88.3,"STS22 (en)":63.84,"STSBenchmark":85.93}
|
99 |
{"index":253,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.14,"BIOSSES":75.89,"SICK-R":80.18,"STS12":78.05,"STS13":85.85,"STS14":82.19,"STS15":87.46,"STS16":84.03,"STS17 (en-en)":89.57,"STS22 (en)":62.66,"STSBenchmark":85.52}
|
100 |
-
{"index":
|
101 |
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{"index":
|
102 |
{"index":296,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":81.04,"BIOSSES":84.87,"SICK-R":79.18,"STS12":71.98,"STS13":85.52,"STS14":80.5,"STS15":87.51,"STS16":84.48,"STS17 (en-en)":88.11,"STS22 (en)":65.92,"STSBenchmark":82.34}
|
103 |
{"index":295,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":80.97,"BIOSSES":86.35,"SICK-R":80.6,"STS12":69.8,"STS13":83.27,"STS14":76.09,"STS15":86.12,"STS16":85.96,"STS17 (en-en)":90.25,"STS22 (en)":68.12,"STSBenchmark":83.17}
|
104 |
-
{"index":
|
105 |
-
{"index":
|
106 |
{"index":31,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.92,"BIOSSES":81.72,"SICK-R":79.65,"STS12":72.6,"STS13":82.88,"STS14":79.74,"STS15":86.98,"STS16":84.41,"STS17 (en-en)":89.22,"STS22 (en)":65.42,"STSBenchmark":86.58}
|
107 |
{"index":169,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.87,"BIOSSES":84.22,"SICK-R":78.9,"STS12":75.19,"STS13":81.8,"STS14":78.48,"STS15":87.49,"STS16":84.58,"STS17 (en-en)":87.94,"STS22 (en)":63.76,"STSBenchmark":86.36}
|
108 |
{"index":212,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.84,"BIOSSES":87.19,"SICK-R":74.19,"STS12":73.22,"STS13":84.77,"STS14":79.99,"STS15":87.27,"STS16":82.31,"STS17 (en-en)":89.54,"STS22 (en)":65.93,"STSBenchmark":83.96}
|
109 |
{"index":252,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":80.77,"BIOSSES":76.27,"SICK-R":79.62,"STS12":77.9,"STS13":85.11,"STS14":80.81,"STS15":87.48,"STS16":83.2,"STS17 (en-en)":86.99,"STS22 (en)":63.52,"STSBenchmark":86.82}
|
110 |
{"index":213,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"Average":80.74,"BIOSSES":80.19,"SICK-R":79.09,"STS12":77.49,"STS13":85.62,"STS14":80.5,"STS15":85.84,"STS16":83.9,"STS17 (en-en)":86.27,"STS22 (en)":64.24,"STSBenchmark":84.28}
|
111 |
{"index":127,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.72,"BIOSSES":81.26,"SICK-R":79.09,"STS12":75.04,"STS13":83.26,"STS14":78.62,"STS15":87.03,"STS16":83.01,"STS17 (en-en)":87.36,"STS22 (en)":68.11,"STSBenchmark":84.4}
|
112 |
-
{"index":
|
113 |
-
{"index":
|
114 |
{"index":186,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.7,"BIOSSES":81.23,"SICK-R":79.65,"STS12":74.27,"STS13":84.18,"STS14":78.81,"STS15":87.55,"STS16":85.35,"STS17 (en-en)":88.88,"STS22 (en)":62.2,"STSBenchmark":84.84}
|
115 |
{"index":278,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.59,"BIOSSES":82.19,"SICK-R":79.25,"STS12":73.71,"STS13":82.32,"STS14":80.07,"STS15":87.21,"STS16":82.33,"STS17 (en-en)":87.58,"STS22 (en)":66.3,"STSBenchmark":84.92}
|
116 |
{"index":89,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":80.53,"BIOSSES":79.5,"SICK-R":79.59,"STS12":74.29,"STS13":85.35,"STS14":79.21,"STS15":85.52,"STS16":82.54,"STS17 (en-en)":90.44,"STS22 (en)":63.2,"STSBenchmark":85.67}
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@@ -121,7 +121,7 @@
|
|
121 |
{"index":240,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":80.28,"BIOSSES":80.43,"SICK-R":80.59,"STS12":72.63,"STS13":83.48,"STS14":78.0,"STS15":85.66,"STS16":80.03,"STS17 (en-en)":90.6,"STS22 (en)":67.95,"STSBenchmark":83.42}
|
122 |
{"index":259,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-multilingual\">text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.24,"BIOSSES":66.16,"SICK-R":79.97,"STS12":80.91,"STS13":82.86,"STS14":87.36,"STS15":88.31,"STS16":81.61,"STS17 (en-en)":85.81,"STS22 (en)":62.99,"STSBenchmark":86.45}
|
123 |
{"index":211,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.22,"BIOSSES":85.37,"SICK-R":77.3,"STS12":77.97,"STS13":79.39,"STS14":78.17,"STS15":85.51,"STS16":84.95,"STS17 (en-en)":85.87,"STS22 (en)":64.28,"STSBenchmark":83.42}
|
124 |
-
{"index":144,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":
|
125 |
{"index":33,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"Average":80.09,"BIOSSES":84.01,"SICK-R":77.04,"STS12":73.22,"STS13":79.5,"STS14":76.96,"STS15":86.43,"STS16":84.33,"STS17 (en-en)":88.67,"STS22 (en)":65.31,"STSBenchmark":85.46}
|
126 |
{"index":188,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":80.0,"BIOSSES":80.52,"SICK-R":76.72,"STS12":73.66,"STS13":83.3,"STS14":79.17,"STS15":87.3,"STS16":83.6,"STS17 (en-en)":88.23,"STS22 (en)":63.46,"STSBenchmark":84.04}
|
127 |
{"index":182,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":79.93,"BIOSSES":83.58,"SICK-R":79.14,"STS12":75.06,"STS13":80.86,"STS14":76.13,"STS15":85.55,"STS16":81.21,"STS17 (en-en)":88.98,"STS22 (en)":66.22,"STSBenchmark":82.57}
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|
|
33 |
{"index":223,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.49,"BIOSSES":83.05,"SICK-R":83.01,"STS12":81.62,"STS13":86.82,"STS14":83.56,"STS15":88.75,"STS16":86.03,"STS17 (en-en)":88.56,"STS22 (en)":65.62,"STSBenchmark":87.84}
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34 |
{"index":43,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":83.35,"BIOSSES":86.32,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.14,"STS22 (en)":68.63,"STSBenchmark":85.64}
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35 |
{"index":264,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.35,"BIOSSES":88.65,"SICK-R":79.81,"STS12":76.81,"STS13":88.11,"STS14":82.66,"STS15":88.93,"STS16":84.25,"STS17 (en-en)":88.47,"STS22 (en)":69.71,"STSBenchmark":86.07}
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36 |
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{"index":193,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.34,"BIOSSES":85.81,"SICK-R":81.75,"STS12":78.51,"STS13":86.62,"STS14":83.06,"STS15":88.39,"STS16":86.82,"STS17 (en-en)":87.9,"STS22 (en)":66.76,"STSBenchmark":87.77}
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37 |
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{"index":102,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.34,"BIOSSES":85.81,"SICK-R":81.75,"STS12":78.51,"STS13":86.62,"STS14":83.06,"STS15":88.39,"STS16":86.82,"STS17 (en-en)":87.9,"STS22 (en)":66.76,"STSBenchmark":87.77}
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38 |
{"index":44,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":83.26,"BIOSSES":87.34,"SICK-R":80.56,"STS12":73.69,"STS13":85.82,"STS14":82.05,"STS15":88.8,"STS16":86.2,"STS17 (en-en)":91.46,"STS22 (en)":69.21,"STSBenchmark":87.43}
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39 |
{"index":34,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":83.15,"BIOSSES":85.01,"SICK-R":82.18,"STS12":77.62,"STS13":85.16,"STS14":80.02,"STS15":88.92,"STS16":86.92,"STS17 (en-en)":90.09,"STS22 (en)":66.81,"STSBenchmark":88.79}
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40 |
{"index":161,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.15,"BIOSSES":84.39,"SICK-R":81.27,"STS12":76.28,"STS13":88.18,"STS14":81.92,"STS15":89.01,"STS16":85.49,"STS17 (en-en)":90.3,"STS22 (en)":67.74,"STSBenchmark":86.88}
|
41 |
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{"index":23,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
42 |
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{"index":228,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
43 |
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{"index":229,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
44 |
{"index":162,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.06,"BIOSSES":84.15,"SICK-R":81.7,"STS12":75.32,"STS13":87.44,"STS14":81.87,"STS15":88.94,"STS16":85.38,"STS17 (en-en)":90.54,"STS22 (en)":68.65,"STSBenchmark":86.56}
|
45 |
{"index":17,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":83.04,"BIOSSES":81.37,"SICK-R":79.28,"STS12":79.55,"STS13":88.83,"STS14":83.87,"STS15":88.54,"STS16":86.49,"STS17 (en-en)":88.73,"STS22 (en)":66.88,"STSBenchmark":86.85}
|
46 |
{"index":129,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":83.03,"BIOSSES":86.99,"SICK-R":80.53,"STS12":75.57,"STS13":86.26,"STS14":82.3,"STS15":88.74,"STS16":85.27,"STS17 (en-en)":89.02,"STS22 (en)":68.51,"STSBenchmark":87.08}
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|
55 |
{"index":16,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":82.73,"BIOSSES":82.11,"SICK-R":80.49,"STS12":77.25,"STS13":87.79,"STS14":82.91,"STS15":88.45,"STS16":85.45,"STS17 (en-en)":90.33,"STS22 (en)":66.1,"STSBenchmark":86.38}
|
56 |
{"index":256,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.63,"BIOSSES":80.43,"SICK-R":80.47,"STS12":78.85,"STS13":88.94,"STS14":84.86,"STS15":89.32,"STS16":84.67,"STS17 (en-en)":89.46,"STS22 (en)":65.33,"STSBenchmark":84.01}
|
57 |
{"index":32,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":82.62,"BIOSSES":83.5,"SICK-R":81.27,"STS12":74.37,"STS13":85.2,"STS14":80.98,"STS15":89.23,"STS16":86.32,"STS17 (en-en)":90.34,"STS22 (en)":66.42,"STSBenchmark":88.55}
|
58 |
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{"index":185,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.61,"BIOSSES":76.91,"SICK-R":80.33,"STS12":80.59,"STS13":86.59,"STS14":82.99,"STS15":88.79,"STS16":84.44,"STS17 (en-en)":89.31,"STS22 (en)":67.97,"STSBenchmark":88.14}
|
59 |
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{"index":136,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.61,"BIOSSES":76.91,"SICK-R":80.33,"STS12":80.59,"STS13":86.59,"STS14":82.99,"STS15":88.79,"STS16":84.44,"STS17 (en-en)":89.31,"STS22 (en)":67.97,"STSBenchmark":88.14}
|
60 |
+
{"index":61,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.61,"BIOSSES":76.91,"SICK-R":80.33,"STS12":80.59,"STS13":86.59,"STS14":82.99,"STS15":88.79,"STS16":84.44,"STS17 (en-en)":89.31,"STS22 (en)":67.97,"STSBenchmark":88.14}
|
61 |
{"index":189,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.56,"BIOSSES":86.54,"SICK-R":83.23,"STS12":76.13,"STS13":83.19,"STS14":80.6,"STS15":87.16,"STS16":85.16,"STS17 (en-en)":90.88,"STS22 (en)":67.04,"STSBenchmark":85.67}
|
62 |
{"index":207,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.5,"BIOSSES":85.64,"SICK-R":80.74,"STS12":76.07,"STS13":86.81,"STS14":81.68,"STS15":88.75,"STS16":84.61,"STS17 (en-en)":89.75,"STS22 (en)":64.1,"STSBenchmark":86.88}
|
63 |
{"index":15,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.42,"BIOSSES":81.12,"SICK-R":79.15,"STS12":76.52,"STS13":88.63,"STS14":83.32,"STS15":87.5,"STS16":86.39,"STS17 (en-en)":87.79,"STS22 (en)":66.4,"STSBenchmark":87.35}
|
64 |
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{"index":21,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
65 |
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{"index":131,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
66 |
{"index":178,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":82.37,"BIOSSES":84.82,"SICK-R":80.85,"STS12":76.1,"STS13":85.49,"STS14":80.44,"STS15":87.75,"STS16":85.42,"STS17 (en-en)":89.95,"STS22 (en)":65.13,"STSBenchmark":87.71}
|
67 |
{"index":263,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.3,"BIOSSES":87.64,"SICK-R":78.86,"STS12":75.71,"STS13":85.73,"STS14":81.51,"STS15":88.81,"STS16":83.82,"STS17 (en-en)":87.9,"STS22 (en)":67.33,"STSBenchmark":85.73}
|
68 |
{"index":160,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.29,"BIOSSES":82.31,"SICK-R":80.26,"STS12":77.02,"STS13":86.58,"STS14":81.32,"STS15":88.19,"STS16":84.88,"STS17 (en-en)":89.46,"STS22 (en)":66.45,"STSBenchmark":86.43}
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|
71 |
{"index":265,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.07,"BIOSSES":88.17,"SICK-R":77.93,"STS12":75.12,"STS13":85.09,"STS14":81.03,"STS15":88.32,"STS16":83.91,"STS17 (en-en)":87.59,"STS22 (en)":68.0,"STSBenchmark":85.57}
|
72 |
{"index":210,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
|
73 |
{"index":166,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.06,"BIOSSES":84.73,"SICK-R":80.49,"STS12":75.93,"STS13":85.22,"STS14":80.54,"STS15":88.81,"STS16":85.28,"STS17 (en-en)":89.37,"STS22 (en)":62.99,"STSBenchmark":87.21}
|
74 |
+
{"index":53,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.05,"BIOSSES":83.6,"SICK-R":79.28,"STS12":76.95,"STS13":84.12,"STS14":80.46,"STS15":89.76,"STS16":85.47,"STS17 (en-en)":89.03,"STS22 (en)":64.11,"STSBenchmark":87.74}
|
75 |
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{"index":167,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.05,"BIOSSES":83.6,"SICK-R":79.28,"STS12":76.95,"STS13":84.12,"STS14":80.46,"STS15":89.76,"STS16":85.47,"STS17 (en-en)":89.03,"STS22 (en)":64.11,"STSBenchmark":87.74}
|
76 |
{"index":208,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.04,"BIOSSES":86.66,"SICK-R":79.44,"STS12":76.17,"STS13":84.15,"STS14":81.49,"STS15":88.11,"STS16":84.99,"STS17 (en-en)":87.98,"STS22 (en)":65.07,"STSBenchmark":86.31}
|
77 |
{"index":18,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.97,"BIOSSES":83.65,"SICK-R":79.37,"STS12":74.38,"STS13":84.71,"STS14":80.1,"STS15":87.16,"STS16":85.02,"STS17 (en-en)":90.64,"STS22 (en)":68.63,"STSBenchmark":86.04}
|
78 |
+
{"index":285,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
79 |
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{"index":117,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
80 |
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{"index":98,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
81 |
{"index":217,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
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82 |
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{"index":164,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":80.96,"BIOSSES":85.1,"SICK-R":79.66,"STS12":74.22,"STS13":83.31,"STS14":78.52,"STS15":88.35,"STS16":84.15,"STS17 (en-en)":87.23,"STS22 (en)":62.88,"STSBenchmark":86.18}
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all_data_tasks/6/default.jsonl
CHANGED
@@ -13,31 +13,31 @@
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13 |
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43 |
{"index":31,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.29}
|
@@ -47,35 +47,35 @@
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|
47 |
{"index":72,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"SummEval":31.23}
|
48 |
{"index":45,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Hum-Works\/lodestone-base-4096-v1\">lodestone-base-4096-v1<\/a>","Model Size (Million Parameters)":69,"Memory Usage (GB, fp32)":0.26,"Embedding Dimensions":768,"Max Tokens":4096,"SummEval":31.23}
|
49 |
{"index":127,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.22}
|
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-
{"index":
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51 |
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{"index":
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-
{"index":
|
53 |
-
{"index":
|
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{"index":16,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"SummEval":31.17}
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55 |
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{"index":
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56 |
{"index":111,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.16}
|
57 |
-
{"index":
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58 |
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{"index":
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59 |
{"index":225,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/unsup-simcse-bert-base-uncased\">unsup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.15}
|
60 |
{"index":119,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":31.14}
|
61 |
{"index":129,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.14}
|
62 |
{"index":57,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":31.14}
|
63 |
{"index":298,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"SummEval":31.12}
|
64 |
{"index":177,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"SummEval":31.1}
|
65 |
-
{"index":
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66 |
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{"index":
|
67 |
{"index":237,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.05}
|
68 |
{"index":148,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.05}
|
69 |
-
{"index":
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70 |
-
{"index":
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71 |
-
{"index":
|
72 |
-
{"index":
|
73 |
-
{"index":
|
74 |
{"index":34,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.99}
|
75 |
{"index":60,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.98}
|
76 |
-
{"index":
|
77 |
{"index":73,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.97}
|
78 |
-
{"index":
|
79 |
{"index":180,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.97}
|
80 |
{"index":128,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.96}
|
81 |
{"index":67,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"SummEval":30.94}
|
@@ -84,8 +84,8 @@
|
|
84 |
{"index":105,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.84}
|
85 |
{"index":6,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"SummEval":30.84}
|
86 |
{"index":227,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.83}
|
87 |
-
{"index":
|
88 |
-
{"index":
|
89 |
{"index":239,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.81}
|
90 |
{"index":295,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"SummEval":30.8}
|
91 |
{"index":269,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"SummEval":30.79}
|
@@ -93,19 +93,19 @@
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|
93 |
{"index":189,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.73}
|
94 |
{"index":212,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.72}
|
95 |
{"index":77,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Wartortle\">Wartortle<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.71}
|
96 |
-
{"index":
|
97 |
-
{"index":
|
98 |
{"index":220,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.7}
|
99 |
{"index":91,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-MiniLM-L12-v2-all-nli-triplet\">Arabic-MiniLM-L12-v2-all-nli-triplet<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.69}
|
100 |
{"index":251,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.67}
|
101 |
{"index":248,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.64}
|
102 |
-
{"index":
|
103 |
-
{"index":
|
104 |
{"index":130,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.6}
|
105 |
{"index":20,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.58}
|
106 |
{"index":272,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.57}
|
107 |
-
{"index":
|
108 |
-
{"index":
|
109 |
{"index":82,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test24\">test24<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.52}
|
110 |
{"index":243,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","SummEval":30.49}
|
111 |
{"index":215,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.47}
|
@@ -113,57 +113,57 @@
|
|
113 |
{"index":84,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEval":30.43}
|
114 |
{"index":265,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.42}
|
115 |
{"index":33,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.41}
|
116 |
-
{"index":
|
117 |
-
{"index":
|
118 |
{"index":285,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
|
119 |
{"index":217,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.4}
|
120 |
{"index":43,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"SummEval":30.39}
|
121 |
{"index":89,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.38}
|
122 |
-
{"index":
|
123 |
-
{"index":
|
124 |
{"index":106,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.31}
|
125 |
{"index":75,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Squirtle\">Squirtle<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.3}
|
126 |
-
{"index":
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127 |
-
{"index":
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128 |
-
{"index":
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129 |
-
{"index":
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130 |
{"index":191,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.25}
|
131 |
{"index":171,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.23}
|
132 |
{"index":247,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.21}
|
133 |
{"index":53,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.19}
|
134 |
-
{"index":
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135 |
-
{"index":
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136 |
{"index":32,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.18}
|
137 |
{"index":92,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-all-nli-triplet-Matryoshka\">Arabic-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.16}
|
138 |
{"index":26,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.12}
|
139 |
{"index":110,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.1}
|
140 |
{"index":259,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-multilingual\">text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.1}
|
141 |
-
{"index":
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142 |
-
{"index":
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143 |
{"index":214,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":256,"Max Tokens":8192,"SummEval":30.05}
|
144 |
{"index":174,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.04}
|
145 |
{"index":71,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"SummEval":30.01}
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146 |
{"index":64,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.98}
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147 |
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157 |
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160 |
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163 |
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164 |
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167 |
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168 |
{"index":95,"Rank":168,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Marbert-all-nli-triplet-Matryoshka\">Marbert-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.53}
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169 |
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@@ -224,7 +224,6 @@
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{"index":141,"Rank":239,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
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225 |
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226 |
{"index":143,"Rank":241,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":""}
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227 |
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{"index":144,"Rank":242,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
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228 |
{"index":145,"Rank":243,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-base\">USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":""}
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229 |
{"index":146,"Rank":244,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-bge-m3\">USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Embedding Dimensions":1024,"Max Tokens":8192,"SummEval":""}
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230 |
{"index":147,"Rank":245,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/deberta-v1-base\">deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":""}
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{"index":271,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":31.93}
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14 |
{"index":161,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.84}
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15 |
{"index":109,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.75}
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{"index":152,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"SummEval":31.66}
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{"index":264,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":31.66}
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{"index":229,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.61}
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{"index":228,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.61}
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{"index":181,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":31.61}
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{"index":23,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":31.61}
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{"index":123,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aimlresearch2023\/jina-embeddings-v2-base-en-Q8_0-GGUF\">jina-embeddings-v2-base-en-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.6}
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{"index":274,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.6}
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{"index":200,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":31.55}
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{"index":136,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.55}
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{"index":185,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":31.55}
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{"index":88,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-msmarco-specb-bitfit\">SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":31.46}
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{"index":253,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.39}
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{"index":169,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.39}
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{"index":279,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.38}
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{"index":66,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse\">LLM2Vec-Llama-2-unsupervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"SummEval":31.38}
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{"index":25,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"SummEval":31.2}
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{"index":224,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/sup-simcse-bert-base-uncased\">sup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.17}
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{"index":111,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.16}
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{"index":101,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.16}
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|
60 |
{"index":119,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":31.14}
|
61 |
{"index":129,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.14}
|
62 |
{"index":57,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":31.14}
|
63 |
{"index":298,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"SummEval":31.12}
|
64 |
{"index":177,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"SummEval":31.1}
|
65 |
+
{"index":21,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.07}
|
66 |
+
{"index":131,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.07}
|
67 |
{"index":237,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.05}
|
68 |
{"index":148,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.05}
|
69 |
+
{"index":299,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"SummEval":31.03}
|
70 |
+
{"index":87,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":31.03}
|
71 |
+
{"index":164,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.01}
|
72 |
+
{"index":190,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.01}
|
73 |
+
{"index":9,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"SummEval":31.01}
|
74 |
{"index":34,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.99}
|
75 |
{"index":60,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.98}
|
76 |
+
{"index":166,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.97}
|
77 |
{"index":73,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.97}
|
78 |
+
{"index":8,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"SummEval":30.97}
|
79 |
{"index":180,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.97}
|
80 |
{"index":128,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.96}
|
81 |
{"index":67,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"SummEval":30.94}
|
|
|
84 |
{"index":105,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.84}
|
85 |
{"index":6,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"SummEval":30.84}
|
86 |
{"index":227,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.83}
|
87 |
+
{"index":193,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.82}
|
88 |
+
{"index":102,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.82}
|
89 |
{"index":239,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.81}
|
90 |
{"index":295,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"SummEval":30.8}
|
91 |
{"index":269,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"SummEval":30.79}
|
|
|
93 |
{"index":189,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.73}
|
94 |
{"index":212,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.72}
|
95 |
{"index":77,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Wartortle\">Wartortle<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.71}
|
96 |
+
{"index":100,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.71}
|
97 |
+
{"index":182,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.71}
|
98 |
{"index":220,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.7}
|
99 |
{"index":91,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-MiniLM-L12-v2-all-nli-triplet\">Arabic-MiniLM-L12-v2-all-nli-triplet<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.69}
|
100 |
{"index":251,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.67}
|
101 |
{"index":248,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.64}
|
102 |
+
{"index":103,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/LLaMA-embeeding\">LLaMA-embeeding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.62}
|
103 |
+
{"index":178,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":30.62}
|
104 |
{"index":130,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.6}
|
105 |
{"index":20,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.58}
|
106 |
{"index":272,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.57}
|
107 |
+
{"index":154,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.56}
|
108 |
+
{"index":188,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.56}
|
109 |
{"index":82,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test24\">test24<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.52}
|
110 |
{"index":243,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","SummEval":30.49}
|
111 |
{"index":215,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.47}
|
|
|
113 |
{"index":84,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEval":30.43}
|
114 |
{"index":265,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.42}
|
115 |
{"index":33,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.41}
|
116 |
+
{"index":98,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
|
117 |
+
{"index":117,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
|
118 |
{"index":285,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
|
119 |
{"index":217,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.4}
|
120 |
{"index":43,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"SummEval":30.39}
|
121 |
{"index":89,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.38}
|
122 |
+
{"index":108,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
|
123 |
+
{"index":218,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nthakur\/contriever-base-msmarco\">contriever-base-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
|
124 |
{"index":106,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.31}
|
125 |
{"index":75,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Squirtle\">Squirtle<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.3}
|
126 |
+
{"index":153,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"SummEval":30.28}
|
127 |
+
{"index":165,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.28}
|
128 |
+
{"index":56,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.26}
|
129 |
+
{"index":86,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-nli-bitfit\">SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"SummEval":30.26}
|
130 |
{"index":191,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.25}
|
131 |
{"index":171,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.23}
|
132 |
{"index":247,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.21}
|
133 |
{"index":53,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.19}
|
134 |
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{"index":167,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.19}
|
135 |
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{"index":70,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.19}
|
136 |
{"index":32,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.18}
|
137 |
{"index":92,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-all-nli-triplet-Matryoshka\">Arabic-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.16}
|
138 |
{"index":26,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.12}
|
139 |
{"index":110,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.1}
|
140 |
{"index":259,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-multilingual\">text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.1}
|
141 |
+
{"index":210,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.08}
|
142 |
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{"index":256,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.08}
|
143 |
{"index":214,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":256,"Max Tokens":8192,"SummEval":30.05}
|
144 |
{"index":174,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.04}
|
145 |
{"index":71,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"SummEval":30.01}
|
146 |
{"index":64,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.98}
|
147 |
{"index":69,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":29.96}
|
148 |
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{"index":297,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"SummEval":29.92}
|
149 |
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{"index":296,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"SummEval":29.92}
|
150 |
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{"index":255,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.91}
|
151 |
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{"index":76,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Venusaur\">Venusaur<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.91}
|
152 |
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{"index":112,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.87}
|
153 |
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{"index":223,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.87}
|
154 |
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{"index":187,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":29.87}
|
155 |
{"index":160,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.85}
|
156 |
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{"index":183,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.85}
|
157 |
{"index":125,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":384,"Max Tokens":4096,"SummEval":29.83}
|
158 |
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{"index":44,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":29.82}
|
159 |
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{"index":132,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bert-base-uncased\">bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.82}
|
160 |
{"index":278,"Rank":160,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.78}
|
161 |
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{"index":270,"Rank":161,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"SummEval":29.71}
|
162 |
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{"index":85,"Rank":162,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-msmarco-specb-bitfit\">SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"SummEval":29.71}
|
163 |
{"index":54,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/multilingual-e5-large-GGUF\">multilingual-e5-large-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.69}
|
164 |
{"index":245,"Rank":164,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.67}
|
165 |
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{"index":254,"Rank":165,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.64}
|
166 |
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{"index":172,"Rank":166,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":29.64}
|
167 |
{"index":213,"Rank":167,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"SummEval":29.59}
|
168 |
{"index":95,"Rank":168,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Marbert-all-nli-triplet-Matryoshka\">Marbert-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.53}
|
169 |
{"index":249,"Rank":169,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/msmarco-bert-co-condensor\">msmarco-bert-co-condensor<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.5}
|
|
|
224 |
{"index":141,"Rank":239,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
225 |
{"index":142,"Rank":240,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-base\">sentence-camembert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":""}
|
226 |
{"index":143,"Rank":241,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":""}
|
|
|
227 |
{"index":145,"Rank":243,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-base\">USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":""}
|
228 |
{"index":146,"Rank":244,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-bge-m3\">USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Embedding Dimensions":1024,"Max Tokens":8192,"SummEval":""}
|
229 |
{"index":147,"Rank":245,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/deberta-v1-base\">deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":""}
|
all_data_tasks/9/default.jsonl
CHANGED
@@ -31,8 +31,8 @@
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|
31 |
{"index":22,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":49.04,"CLSClusteringP2P":40.03,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.85,"ThuNewsClusteringS2S":57.09}
|
32 |
{"index":21,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":49.0,"CLSClusteringP2P":39.96,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.74,"ThuNewsClusteringS2S":57.09}
|
33 |
{"index":28,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":48.99,"CLSClusteringP2P":41.44,"CLSClusteringS2S":38.33,"ThuNewsClusteringP2P":59.61,"ThuNewsClusteringS2S":56.58}
|
34 |
-
{"index":
|
35 |
-
{"index":
|
36 |
{"index":38,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.88,"CLSClusteringP2P":42.46,"CLSClusteringS2S":40.38,"ThuNewsClusteringP2P":58.54,"ThuNewsClusteringS2S":54.15}
|
37 |
{"index":229,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.88,"CLSClusteringP2P":38.6,"CLSClusteringS2S":38.02,"ThuNewsClusteringP2P":60.39,"ThuNewsClusteringS2S":58.51}
|
38 |
{"index":37,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.81,"CLSClusteringP2P":42.84,"CLSClusteringS2S":39.77,"ThuNewsClusteringP2P":58.93,"ThuNewsClusteringS2S":53.71}
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@@ -55,8 +55,8 @@
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|
55 |
{"index":291,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.39,"CLSClusteringP2P":37.01,"CLSClusteringS2S":33.46,"ThuNewsClusteringP2P":58.83,"ThuNewsClusteringS2S":48.26}
|
56 |
{"index":34,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":44.18,"CLSClusteringP2P":38.14,"CLSClusteringS2S":35.14,"ThuNewsClusteringP2P":54.22,"ThuNewsClusteringS2S":49.22}
|
57 |
{"index":201,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":43.24,"CLSClusteringP2P":36.73,"CLSClusteringS2S":36.45,"ThuNewsClusteringP2P":50.24,"ThuNewsClusteringS2S":49.54}
|
58 |
-
{"index":
|
59 |
-
{"index":
|
60 |
{"index":203,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":42.32,"CLSClusteringP2P":36.0,"CLSClusteringS2S":36.35,"ThuNewsClusteringP2P":49.19,"ThuNewsClusteringS2S":47.76}
|
61 |
{"index":196,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":40.68,"CLSClusteringP2P":32.41,"CLSClusteringS2S":36.99,"ThuNewsClusteringP2P":40.98,"ThuNewsClusteringS2S":52.36}
|
62 |
{"index":49,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":39.67,"CLSClusteringP2P":39.24,"CLSClusteringS2S":35.36,"ThuNewsClusteringP2P":47.3,"ThuNewsClusteringS2S":36.77}
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|
31 |
{"index":22,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":49.04,"CLSClusteringP2P":40.03,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.85,"ThuNewsClusteringS2S":57.09}
|
32 |
{"index":21,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":49.0,"CLSClusteringP2P":39.96,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.74,"ThuNewsClusteringS2S":57.09}
|
33 |
{"index":28,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":48.99,"CLSClusteringP2P":41.44,"CLSClusteringS2S":38.33,"ThuNewsClusteringP2P":59.61,"ThuNewsClusteringS2S":56.58}
|
34 |
+
{"index":302,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.95,"CLSClusteringP2P":39.54,"CLSClusteringS2S":37.33,"ThuNewsClusteringP2P":63.79,"ThuNewsClusteringS2S":55.14}
|
35 |
+
{"index":300,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":48.95,"CLSClusteringP2P":39.54,"CLSClusteringS2S":37.33,"ThuNewsClusteringP2P":63.79,"ThuNewsClusteringS2S":55.14}
|
36 |
{"index":38,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.88,"CLSClusteringP2P":42.46,"CLSClusteringS2S":40.38,"ThuNewsClusteringP2P":58.54,"ThuNewsClusteringS2S":54.15}
|
37 |
{"index":229,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.88,"CLSClusteringP2P":38.6,"CLSClusteringS2S":38.02,"ThuNewsClusteringP2P":60.39,"ThuNewsClusteringS2S":58.51}
|
38 |
{"index":37,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.81,"CLSClusteringP2P":42.84,"CLSClusteringS2S":39.77,"ThuNewsClusteringP2P":58.93,"ThuNewsClusteringS2S":53.71}
|
|
|
55 |
{"index":291,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.39,"CLSClusteringP2P":37.01,"CLSClusteringS2S":33.46,"ThuNewsClusteringP2P":58.83,"ThuNewsClusteringS2S":48.26}
|
56 |
{"index":34,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":44.18,"CLSClusteringP2P":38.14,"CLSClusteringS2S":35.14,"ThuNewsClusteringP2P":54.22,"ThuNewsClusteringS2S":49.22}
|
57 |
{"index":201,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":43.24,"CLSClusteringP2P":36.73,"CLSClusteringS2S":36.45,"ThuNewsClusteringP2P":50.24,"ThuNewsClusteringS2S":49.54}
|
58 |
+
{"index":202,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":42.42,"CLSClusteringP2P":35.21,"CLSClusteringS2S":35.12,"ThuNewsClusteringP2P":51.03,"ThuNewsClusteringS2S":48.32}
|
59 |
+
{"index":200,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":42.42,"CLSClusteringP2P":35.36,"CLSClusteringS2S":37.07,"ThuNewsClusteringP2P":48.91,"ThuNewsClusteringS2S":48.34}
|
60 |
{"index":203,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":42.32,"CLSClusteringP2P":36.0,"CLSClusteringS2S":36.35,"ThuNewsClusteringP2P":49.19,"ThuNewsClusteringS2S":47.76}
|
61 |
{"index":196,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":40.68,"CLSClusteringP2P":32.41,"CLSClusteringS2S":36.99,"ThuNewsClusteringP2P":40.98,"ThuNewsClusteringS2S":52.36}
|
62 |
{"index":49,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":39.67,"CLSClusteringP2P":39.24,"CLSClusteringS2S":35.36,"ThuNewsClusteringP2P":47.3,"ThuNewsClusteringS2S":36.77}
|
boards_data/de/data_tasks/Clustering/default.jsonl
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{"index":7,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepset\/gbert-large\">gbert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"Average":32.34,"BlurbsClusteringP2P":39.3,"BlurbsClusteringS2S":13.38,"TenKGnadClusteringP2P":41.69,"TenKGnadClusteringS2S":34.97}
|
2 |
{"index":17,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":29.74,"BlurbsClusteringP2P":39.91,"BlurbsClusteringS2S":15.94,"TenKGnadClusteringP2P":43.43,"TenKGnadClusteringS2S":19.69}
|
3 |
-
{"index":
|
4 |
-
{"index":
|
5 |
-
{"index":
|
6 |
{"index":4,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aari1995\/German_Semantic_STS_V2\">German_Semantic_STS_V2<\/a>","Model Size (Million Parameters)":336,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":29.5,"BlurbsClusteringP2P":38.68,"BlurbsClusteringS2S":17.62,"TenKGnadClusteringP2P":38.0,"TenKGnadClusteringS2S":23.71}
|
7 |
{"index":16,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":27.49,"BlurbsClusteringP2P":35.33,"BlurbsClusteringS2S":13.27,"TenKGnadClusteringP2P":44.11,"TenKGnadClusteringS2S":17.26}
|
8 |
{"index":14,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":27.04,"BlurbsClusteringP2P":34.38,"BlurbsClusteringS2S":15.81,"TenKGnadClusteringP2P":35.96,"TenKGnadClusteringS2S":22.0}
|
|
|
1 |
{"index":7,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepset\/gbert-large\">gbert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"Average":32.34,"BlurbsClusteringP2P":39.3,"BlurbsClusteringS2S":13.38,"TenKGnadClusteringP2P":41.69,"TenKGnadClusteringS2S":34.97}
|
2 |
{"index":17,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":29.74,"BlurbsClusteringP2P":39.91,"BlurbsClusteringS2S":15.94,"TenKGnadClusteringP2P":43.43,"TenKGnadClusteringS2S":19.69}
|
3 |
+
{"index":1,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
|
4 |
+
{"index":11,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
|
5 |
+
{"index":5,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
|
6 |
{"index":4,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aari1995\/German_Semantic_STS_V2\">German_Semantic_STS_V2<\/a>","Model Size (Million Parameters)":336,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":29.5,"BlurbsClusteringP2P":38.68,"BlurbsClusteringS2S":17.62,"TenKGnadClusteringP2P":38.0,"TenKGnadClusteringS2S":23.71}
|
7 |
{"index":16,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":27.49,"BlurbsClusteringP2P":35.33,"BlurbsClusteringS2S":13.27,"TenKGnadClusteringP2P":44.11,"TenKGnadClusteringS2S":17.26}
|
8 |
{"index":14,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":27.04,"BlurbsClusteringP2P":34.38,"BlurbsClusteringS2S":15.81,"TenKGnadClusteringP2P":35.96,"TenKGnadClusteringS2S":22.0}
|
boards_data/en/data_overall/default.jsonl
CHANGED
@@ -72,8 +72,8 @@
|
|
72 |
{"index":164,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":60.44,"Classification Average (12 datasets)":72.63,"Clustering Average (11 datasets)":42.11,"PairClassification Average (3 datasets)":85.09,"Reranking Average (4 datasets)":55.7,"Retrieval Average (15 datasets)":48.75,"STS Average (10 datasets)":80.96,"Summarization Average (1 datasets)":31.01}
|
73 |
{"index":186,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":60.38,"Classification Average (12 datasets)":73.45,"Clustering Average (11 datasets)":41.73,"PairClassification Average (3 datasets)":85.38,"Reranking Average (4 datasets)":56.98,"Retrieval Average (15 datasets)":47.87,"STS Average (10 datasets)":80.7,"Summarization Average (1 datasets)":31.6}
|
74 |
{"index":124,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/amazon\/Titan-text-embeddings-v2\">Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":60.37,"Classification Average (12 datasets)":70.62,"Clustering Average (11 datasets)":40.4,"PairClassification Average (3 datasets)":82.14,"Reranking Average (4 datasets)":57.5,"Retrieval Average (15 datasets)":51.31,"STS Average (10 datasets)":81.54,"Summarization Average (1 datasets)":27.54}
|
75 |
-
{"index":
|
76 |
-
{"index":
|
77 |
{"index":33,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"Average (56 datasets)":60.08,"Classification Average (12 datasets)":70.57,"Clustering Average (11 datasets)":41.98,"PairClassification Average (3 datasets)":83.95,"Reranking Average (4 datasets)":55.06,"Retrieval Average (15 datasets)":50.15,"STS Average (10 datasets)":80.09,"Summarization Average (1 datasets)":30.41}
|
78 |
{"index":170,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average (56 datasets)":59.93,"Classification Average (12 datasets)":72.94,"Clustering Average (11 datasets)":39.92,"PairClassification Average (3 datasets)":84.67,"Reranking Average (4 datasets)":54.32,"Retrieval Average (15 datasets)":49.04,"STS Average (10 datasets)":80.39,"Summarization Average (1 datasets)":31.16}
|
79 |
{"index":178,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average (56 datasets)":59.86,"Classification Average (12 datasets)":71.91,"Clustering Average (11 datasets)":40.74,"PairClassification Average (3 datasets)":84.06,"Reranking Average (4 datasets)":54.9,"Retrieval Average (15 datasets)":47.67,"STS Average (10 datasets)":82.37,"Summarization Average (1 datasets)":30.62}
|
@@ -102,7 +102,7 @@
|
|
102 |
{"index":255,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":57.87,"Classification Average (12 datasets)":72.84,"Clustering Average (11 datasets)":42.34,"PairClassification Average (3 datasets)":86.06,"Reranking Average (4 datasets)":54.71,"Retrieval Average (15 datasets)":38.47,"STS Average (10 datasets)":81.66,"Summarization Average (1 datasets)":29.91}
|
103 |
{"index":240,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":57.77,"Classification Average (12 datasets)":65.03,"Clustering Average (11 datasets)":43.69,"PairClassification Average (3 datasets)":83.04,"Reranking Average (4 datasets)":59.36,"Retrieval Average (15 datasets)":43.81,"STS Average (10 datasets)":80.28,"Summarization Average (1 datasets)":27.49}
|
104 |
{"index":133,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average (56 datasets)":57.59,"Classification Average (12 datasets)":66.19,"Clustering Average (11 datasets)":38.93,"PairClassification Average (3 datasets)":81.9,"Reranking Average (4 datasets)":55.65,"Retrieval Average (15 datasets)":48.22,"STS Average (10 datasets)":77.74,"Summarization Average (1 datasets)":33.6}
|
105 |
-
{"index":183,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":
|
106 |
{"index":87,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"Average (56 datasets)":57.17,"Classification Average (12 datasets)":67.13,"Clustering Average (11 datasets)":39.83,"PairClassification Average (3 datasets)":80.65,"Reranking Average (4 datasets)":54.67,"Retrieval Average (15 datasets)":46.54,"STS Average (10 datasets)":76.83,"Summarization Average (1 datasets)":31.03}
|
107 |
{"index":254,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":57.06,"Classification Average (12 datasets)":72.31,"Clustering Average (11 datasets)":41.65,"PairClassification Average (3 datasets)":84.97,"Reranking Average (4 datasets)":54.0,"Retrieval Average (15 datasets)":36.71,"STS Average (10 datasets)":81.83,"Summarization Average (1 datasets)":29.64}
|
108 |
{"index":174,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (56 datasets)":57.05,"Classification Average (12 datasets)":67.03,"Clustering Average (11 datasets)":37.22,"PairClassification Average (3 datasets)":82.73,"Reranking Average (4 datasets)":52.9,"Retrieval Average (15 datasets)":46.63,"STS Average (10 datasets)":79.16,"Summarization Average (1 datasets)":30.04}
|
@@ -211,7 +211,7 @@
|
|
211 |
{"index":141,"Rank":223,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":61.44,"Clustering Average (11 datasets)":37.92,"PairClassification Average (3 datasets)":82.11,"Reranking Average (4 datasets)":55.24,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
|
212 |
{"index":142,"Rank":224,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-base\">sentence-camembert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
|
213 |
{"index":143,"Rank":225,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
|
214 |
-
{"index":144,"Rank":226,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":
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215 |
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216 |
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217 |
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72 |
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73 |
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75 |
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{"index":107,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":60.09,"Classification Average (12 datasets)":68.01,"Clustering Average (11 datasets)":41.51,"PairClassification Average (3 datasets)":82.02,"Reranking Average (4 datasets)":55.47,"Retrieval Average (15 datasets)":54.83,"STS Average (10 datasets)":77.08,"Summarization Average (1 datasets)":31.38}
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76 |
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{"index":279,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":60.09,"Classification Average (12 datasets)":68.01,"Clustering Average (11 datasets)":41.51,"PairClassification Average (3 datasets)":82.02,"Reranking Average (4 datasets)":55.47,"Retrieval Average (15 datasets)":54.83,"STS Average (10 datasets)":77.08,"Summarization Average (1 datasets)":31.38}
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77 |
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78 |
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79 |
{"index":178,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average (56 datasets)":59.86,"Classification Average (12 datasets)":71.91,"Clustering Average (11 datasets)":40.74,"PairClassification Average (3 datasets)":84.06,"Reranking Average (4 datasets)":54.9,"Retrieval Average (15 datasets)":47.67,"STS Average (10 datasets)":82.37,"Summarization Average (1 datasets)":30.62}
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102 |
{"index":255,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":57.87,"Classification Average (12 datasets)":72.84,"Clustering Average (11 datasets)":42.34,"PairClassification Average (3 datasets)":86.06,"Reranking Average (4 datasets)":54.71,"Retrieval Average (15 datasets)":38.47,"STS Average (10 datasets)":81.66,"Summarization Average (1 datasets)":29.91}
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103 |
{"index":240,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":57.77,"Classification Average (12 datasets)":65.03,"Clustering Average (11 datasets)":43.69,"PairClassification Average (3 datasets)":83.04,"Reranking Average (4 datasets)":59.36,"Retrieval Average (15 datasets)":43.81,"STS Average (10 datasets)":80.28,"Summarization Average (1 datasets)":27.49}
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104 |
{"index":133,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average (56 datasets)":57.59,"Classification Average (12 datasets)":66.19,"Clustering Average (11 datasets)":38.93,"PairClassification Average (3 datasets)":81.9,"Reranking Average (4 datasets)":55.65,"Retrieval Average (15 datasets)":48.22,"STS Average (10 datasets)":77.74,"Summarization Average (1 datasets)":33.6}
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105 |
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{"index":183,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":57.38,"Classification Average (12 datasets)":67.76,"Clustering Average (11 datasets)":37.15,"PairClassification Average (3 datasets)":84.8,"Reranking Average (4 datasets)":56.42,"Retrieval Average (15 datasets)":44.81,"STS Average (10 datasets)":80.96,"Summarization Average (1 datasets)":29.85}
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106 |
{"index":87,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"Average (56 datasets)":57.17,"Classification Average (12 datasets)":67.13,"Clustering Average (11 datasets)":39.83,"PairClassification Average (3 datasets)":80.65,"Reranking Average (4 datasets)":54.67,"Retrieval Average (15 datasets)":46.54,"STS Average (10 datasets)":76.83,"Summarization Average (1 datasets)":31.03}
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107 |
{"index":254,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":57.06,"Classification Average (12 datasets)":72.31,"Clustering Average (11 datasets)":41.65,"PairClassification Average (3 datasets)":84.97,"Reranking Average (4 datasets)":54.0,"Retrieval Average (15 datasets)":36.71,"STS Average (10 datasets)":81.83,"Summarization Average (1 datasets)":29.64}
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108 |
{"index":174,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (56 datasets)":57.05,"Classification Average (12 datasets)":67.03,"Clustering Average (11 datasets)":37.22,"PairClassification Average (3 datasets)":82.73,"Reranking Average (4 datasets)":52.9,"Retrieval Average (15 datasets)":46.63,"STS Average (10 datasets)":79.16,"Summarization Average (1 datasets)":30.04}
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211 |
{"index":141,"Rank":223,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":61.44,"Clustering Average (11 datasets)":37.92,"PairClassification Average (3 datasets)":82.11,"Reranking Average (4 datasets)":55.24,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
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212 |
{"index":142,"Rank":224,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-base\">sentence-camembert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
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213 |
{"index":143,"Rank":225,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
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214 |
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{"index":144,"Rank":226,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":66.95,"Clustering Average (11 datasets)":40.83,"PairClassification Average (3 datasets)":81.03,"Reranking Average (4 datasets)":54.63,"Retrieval Average (15 datasets)":38.79,"STS Average (10 datasets)":80.17,"Summarization Average (1 datasets)":""}
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215 |
{"index":145,"Rank":227,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-base\">USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
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216 |
{"index":146,"Rank":228,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-bge-m3\">USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Embedding Dimensions":1024,"Max Tokens":8192,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
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217 |
{"index":147,"Rank":229,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/deberta-v1-base\">deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
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boards_data/en/data_tasks/Classification/default.jsonl
CHANGED
@@ -29,22 +29,22 @@
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29 |
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{"index":128,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":76.01,"AmazonCounterfactualClassification (en)":75.58,"AmazonPolarityClassification":93.41,"AmazonReviewsClassification (en)":49.06,"Banking77Classification":88.1,"EmotionClassification":54.72,"ImdbClassification":91.23,"MassiveIntentClassification (en)":76.2,"MassiveScenarioClassification (en)":79.35,"MTOPDomainClassification (en)":95.25,"MTOPIntentClassification (en)":78.24,"ToxicConversationsClassification":71.86,"TweetSentimentExtractionClassification":59.17}
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{"index":34,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":76.01,"AmazonCounterfactualClassification (en)":77.85,"AmazonPolarityClassification":95.6,"AmazonReviewsClassification (en)":49.79,"Banking77Classification":86.09,"EmotionClassification":48.15,"ImdbClassification":93.97,"MassiveIntentClassification (en)":74.51,"MassiveScenarioClassification (en)":79.0,"MTOPDomainClassification (en)":94.92,"MTOPIntentClassification (en)":78.89,"ToxicConversationsClassification":71.2,"TweetSentimentExtractionClassification":62.18}
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{"index":
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{"index":130,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":75.97,"AmazonCounterfactualClassification (en)":75.76,"AmazonPolarityClassification":93.3,"AmazonReviewsClassification (en)":49.99,"Banking77Classification":86.4,"EmotionClassification":55.07,"ImdbClassification":90.15,"MassiveIntentClassification (en)":76.01,"MassiveScenarioClassification (en)":79.33,"MTOPDomainClassification (en)":95.29,"MTOPIntentClassification (en)":79.57,"ToxicConversationsClassification":69.44,"TweetSentimentExtractionClassification":61.27}
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{"index":67,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":75.92,"AmazonCounterfactualClassification (en)":79.94,"AmazonPolarityClassification":86.07,"AmazonReviewsClassification (en)":46.84,"Banking77Classification":88.05,"EmotionClassification":51.2,"ImdbClassification":82.94,"MassiveIntentClassification (en)":79.8,"MassiveScenarioClassification (en)":81.52,"MTOPDomainClassification (en)":96.14,"MTOPIntentClassification (en)":86.11,"ToxicConversationsClassification":70.59,"TweetSentimentExtractionClassification":61.9}
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{"index":
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{"index":114,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":75.58,"AmazonCounterfactualClassification (en)":75.55,"AmazonPolarityClassification":92.84,"AmazonReviewsClassification (en)":48.29,"Banking77Classification":87.69,"EmotionClassification":51.75,"ImdbClassification":92.78,"MassiveIntentClassification (en)":76.5,"MassiveScenarioClassification (en)":79.75,"MTOPDomainClassification (en)":94.02,"MTOPIntentClassification (en)":76.92,"ToxicConversationsClassification":71.09,"TweetSentimentExtractionClassification":59.75}
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{"index":204,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.98,"AmazonCounterfactualClassification (en)":76.16,"AmazonPolarityClassification":92.95,"AmazonReviewsClassification (en)":48.21,"Banking77Classification":86.35,"EmotionClassification":51.27,"ImdbClassification":89.72,"MassiveIntentClassification (en)":75.16,"MassiveScenarioClassification (en)":78.93,"MTOPDomainClassification (en)":93.95,"MTOPIntentClassification (en)":75.26,"ToxicConversationsClassification":72.12,"TweetSentimentExtractionClassification":59.67}
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50 |
{"index":54,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/multilingual-e5-large-GGUF\">multilingual-e5-large-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.81,"AmazonCounterfactualClassification (en)":79.06,"AmazonPolarityClassification":93.49,"AmazonReviewsClassification (en)":47.56,"Banking77Classification":84.73,"EmotionClassification":46.5,"ImdbClassification":90.23,"MassiveIntentClassification (en)":73.76,"MassiveScenarioClassification (en)":77.51,"MTOPDomainClassification (en)":93.67,"MTOPIntentClassification (en)":77.9,"ToxicConversationsClassification":71.32,"TweetSentimentExtractionClassification":61.98}
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@@ -57,16 +57,16 @@
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{"index":70,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":74.07,"AmazonCounterfactualClassification (en)":76.94,"AmazonPolarityClassification":85.29,"AmazonReviewsClassification (en)":47.09,"Banking77Classification":86.16,"EmotionClassification":48.88,"ImdbClassification":77.95,"MassiveIntentClassification (en)":76.65,"MassiveScenarioClassification (en)":79.99,"MTOPDomainClassification (en)":95.48,"MTOPIntentClassification (en)":82.84,"ToxicConversationsClassification":70.71,"TweetSentimentExtractionClassification":60.9}
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{"index":181,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":73.96,"AmazonCounterfactualClassification (en)":70.85,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":48.94,"Banking77Classification":84.61,"EmotionClassification":54.9,"ImdbClassification":93.14,"MassiveIntentClassification (en)":73.49,"MassiveScenarioClassification (en)":77.38,"MTOPDomainClassification (en)":93.64,"MTOPIntentClassification (en)":66.01,"ToxicConversationsClassification":71.19,"TweetSentimentExtractionClassification":61.55}
|
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{"index":161,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.86,"AmazonCounterfactualClassification (en)":88.13,"AmazonPolarityClassification":91.53,"AmazonReviewsClassification (en)":47.86,"Banking77Classification":78.51,"EmotionClassification":52.73,"ImdbClassification":88.32,"MassiveIntentClassification (en)":68.9,"MassiveScenarioClassification (en)":73.35,"MTOPDomainClassification (en)":93.89,"MTOPIntentClassification (en)":67.98,"ToxicConversationsClassification":71.05,"TweetSentimentExtractionClassification":64.13}
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-
{"index":
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{"index":
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{"index":211,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":73.65,"AmazonCounterfactualClassification (en)":78.67,"AmazonPolarityClassification":90.41,"AmazonReviewsClassification (en)":47.81,"Banking77Classification":83.82,"EmotionClassification":48.81,"ImdbClassification":83.78,"MassiveIntentClassification (en)":72.76,"MassiveScenarioClassification (en)":76.7,"MTOPDomainClassification (en)":93.47,"MTOPIntentClassification (en)":75.27,"ToxicConversationsClassification":71.39,"TweetSentimentExtractionClassification":60.87}
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{"index":
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{"index":
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{"index":
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{"index":
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{"index":208,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.52,"AmazonCounterfactualClassification (en)":74.19,"AmazonPolarityClassification":91.89,"AmazonReviewsClassification (en)":46.72,"Banking77Classification":85.1,"EmotionClassification":46.84,"ImdbClassification":89.35,"MassiveIntentClassification (en)":74.01,"MassiveScenarioClassification (en)":77.96,"MTOPDomainClassification (en)":92.67,"MTOPIntentClassification (en)":74.03,"ToxicConversationsClassification":69.5,"TweetSentimentExtractionClassification":60.02}
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-
{"index":
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69 |
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{"index":
|
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{"index":274,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.45,"AmazonCounterfactualClassification (en)":74.73,"AmazonPolarityClassification":88.54,"AmazonReviewsClassification (en)":45.26,"Banking77Classification":84.01,"EmotionClassification":48.77,"ImdbClassification":79.44,"MassiveIntentClassification (en)":71.93,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":95.68,"MTOPIntentClassification (en)":83.15,"ToxicConversationsClassification":73.35,"TweetSentimentExtractionClassification":62.06}
|
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{"index":256,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.42,"AmazonCounterfactualClassification (en)":77.07,"AmazonPolarityClassification":92.79,"AmazonReviewsClassification (en)":48.93,"Banking77Classification":82.31,"EmotionClassification":48.57,"ImdbClassification":90.23,"MassiveIntentClassification (en)":73.44,"MassiveScenarioClassification (en)":74.82,"MTOPDomainClassification (en)":92.49,"MTOPIntentClassification (en)":68.33,"ToxicConversationsClassification":70.04,"TweetSentimentExtractionClassification":62.01}
|
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{"index":264,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":73.33,"AmazonCounterfactualClassification (en)":72.63,"AmazonPolarityClassification":92.52,"AmazonReviewsClassification (en)":49.07,"Banking77Classification":86.06,"EmotionClassification":47.88,"ImdbClassification":88.46,"MassiveIntentClassification (en)":72.62,"MassiveScenarioClassification (en)":76.77,"MTOPDomainClassification (en)":93.51,"MTOPIntentClassification (en)":73.25,"ToxicConversationsClassification":70.56,"TweetSentimentExtractionClassification":56.58}
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@@ -77,8 +77,8 @@
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77 |
{"index":134,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/biswa921\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":73.13,"AmazonCounterfactualClassification (en)":75.63,"AmazonPolarityClassification":91.01,"AmazonReviewsClassification (en)":46.99,"Banking77Classification":81.93,"EmotionClassification":50.16,"ImdbClassification":87.84,"MassiveIntentClassification (en)":71.08,"MassiveScenarioClassification (en)":76.64,"MTOPDomainClassification (en)":93.36,"MTOPIntentClassification (en)":66.58,"ToxicConversationsClassification":72.6,"TweetSentimentExtractionClassification":63.71}
|
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{"index":162,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.12,"AmazonCounterfactualClassification (en)":85.09,"AmazonPolarityClassification":86.54,"AmazonReviewsClassification (en)":42.96,"Banking77Classification":82.66,"EmotionClassification":53.24,"ImdbClassification":79.79,"MassiveIntentClassification (en)":71.48,"MassiveScenarioClassification (en)":76.47,"MTOPDomainClassification (en)":95.07,"MTOPIntentClassification (en)":72.26,"ToxicConversationsClassification":70.33,"TweetSentimentExtractionClassification":61.58}
|
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{"index":263,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.01,"AmazonCounterfactualClassification (en)":74.18,"AmazonPolarityClassification":91.77,"AmazonReviewsClassification (en)":48.96,"Banking77Classification":85.07,"EmotionClassification":48.65,"ImdbClassification":85.95,"MassiveIntentClassification (en)":71.47,"MassiveScenarioClassification (en)":76.38,"MTOPDomainClassification (en)":93.03,"MTOPIntentClassification (en)":72.04,"ToxicConversationsClassification":71.61,"TweetSentimentExtractionClassification":57.01}
|
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-
{"index":
|
81 |
-
{"index":
|
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{"index":170,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":72.94,"AmazonCounterfactualClassification (en)":77.6,"AmazonPolarityClassification":91.27,"AmazonReviewsClassification (en)":45.88,"Banking77Classification":81.64,"EmotionClassification":47.06,"ImdbClassification":86.0,"MassiveIntentClassification (en)":71.62,"MassiveScenarioClassification (en)":76.36,"MTOPDomainClassification (en)":92.7,"MTOPIntentClassification (en)":72.56,"ToxicConversationsClassification":71.1,"TweetSentimentExtractionClassification":61.46}
|
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{"index":255,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":72.84,"AmazonCounterfactualClassification (en)":76.01,"AmazonPolarityClassification":93.17,"AmazonReviewsClassification (en)":48.18,"Banking77Classification":80.88,"EmotionClassification":51.95,"ImdbClassification":87.54,"MassiveIntentClassification (en)":72.09,"MassiveScenarioClassification (en)":73.26,"MTOPDomainClassification (en)":90.73,"MTOPIntentClassification (en)":68.15,"ToxicConversationsClassification":70.95,"TweetSentimentExtractionClassification":61.21}
|
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{"index":127,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":72.72,"AmazonCounterfactualClassification (en)":72.9,"AmazonPolarityClassification":87.19,"AmazonReviewsClassification (en)":42.56,"Banking77Classification":84.24,"EmotionClassification":52.06,"ImdbClassification":78.54,"MassiveIntentClassification (en)":73.18,"MassiveScenarioClassification (en)":76.68,"MTOPDomainClassification (en)":94.78,"MTOPIntentClassification (en)":77.72,"ToxicConversationsClassification":72.9,"TweetSentimentExtractionClassification":59.85}
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@@ -116,8 +116,8 @@
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|
116 |
{"index":171,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":69.76,"AmazonCounterfactualClassification (en)":77.36,"AmazonPolarityClassification":91.76,"AmazonReviewsClassification (en)":47.54,"Banking77Classification":73.53,"EmotionClassification":45.68,"ImdbClassification":84.29,"MassiveIntentClassification (en)":65.71,"MassiveScenarioClassification (en)":71.57,"MTOPDomainClassification (en)":90.9,"MTOPIntentClassification (en)":61.6,"ToxicConversationsClassification":64.33,"TweetSentimentExtractionClassification":62.8}
|
117 |
{"index":213,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"Average":69.7,"AmazonCounterfactualClassification (en)":69.78,"AmazonPolarityClassification":88.74,"AmazonReviewsClassification (en)":43.11,"Banking77Classification":82.78,"EmotionClassification":42.92,"ImdbClassification":80.87,"MassiveIntentClassification (en)":69.34,"MassiveScenarioClassification (en)":74.21,"MTOPDomainClassification (en)":89.61,"MTOPIntentClassification (en)":68.9,"ToxicConversationsClassification":68.16,"TweetSentimentExtractionClassification":57.99}
|
118 |
{"index":190,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.65,"AmazonCounterfactualClassification (en)":70.12,"AmazonPolarityClassification":92.95,"AmazonReviewsClassification (en)":50.52,"Banking77Classification":75.59,"EmotionClassification":45.98,"ImdbClassification":90.22,"MassiveIntentClassification (en)":65.03,"MassiveScenarioClassification (en)":71.05,"MTOPDomainClassification (en)":88.63,"MTOPIntentClassification (en)":58.08,"ToxicConversationsClassification":69.33,"TweetSentimentExtractionClassification":58.25}
|
119 |
-
{"index":
|
120 |
-
{"index":
|
121 |
{"index":188,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":68.82,"AmazonCounterfactualClassification (en)":71.36,"AmazonPolarityClassification":82.9,"AmazonReviewsClassification (en)":40.89,"Banking77Classification":78.25,"EmotionClassification":44.01,"ImdbClassification":73.64,"MassiveIntentClassification (en)":67.61,"MassiveScenarioClassification (en)":69.75,"MTOPDomainClassification (en)":93.96,"MTOPIntentClassification (en)":72.5,"ToxicConversationsClassification":71.54,"TweetSentimentExtractionClassification":59.4}
|
122 |
{"index":108,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":68.79,"AmazonCounterfactualClassification (en)":68.3,"AmazonPolarityClassification":90.31,"AmazonReviewsClassification (en)":46.27,"Banking77Classification":80.01,"EmotionClassification":43.67,"ImdbClassification":84.36,"MassiveIntentClassification (en)":66.69,"MassiveScenarioClassification (en)":73.06,"MTOPDomainClassification (en)":91.36,"MTOPIntentClassification (en)":60.64,"ToxicConversationsClassification":66.84,"TweetSentimentExtractionClassification":53.91}
|
123 |
{"index":209,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":68.55,"AmazonCounterfactualClassification (en)":70.72,"AmazonPolarityClassification":83.34,"AmazonReviewsClassification (en)":40.99,"Banking77Classification":81.25,"EmotionClassification":41.66,"ImdbClassification":74.81,"MassiveIntentClassification (en)":69.8,"MassiveScenarioClassification (en)":74.54,"MTOPDomainClassification (en)":91.22,"MTOPIntentClassification (en)":69.39,"ToxicConversationsClassification":67.44,"TweetSentimentExtractionClassification":57.48}
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@@ -126,18 +126,18 @@
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|
126 |
{"index":81,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Embedding Dimensions":384,"Max Tokens":512,"Average":68.13,"AmazonCounterfactualClassification (en)":71.84,"AmazonPolarityClassification":80.04,"AmazonReviewsClassification (en)":39.75,"Banking77Classification":80.92,"EmotionClassification":44.88,"ImdbClassification":71.96,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":74.16,"MTOPDomainClassification (en)":90.87,"MTOPIntentClassification (en)":68.53,"ToxicConversationsClassification":66.04,"TweetSentimentExtractionClassification":59.43}
|
127 |
{"index":179,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":68.04,"AmazonCounterfactualClassification (en)":72.36,"AmazonPolarityClassification":83.81,"AmazonReviewsClassification (en)":38.97,"Banking77Classification":80.97,"EmotionClassification":44.77,"ImdbClassification":72.21,"MassiveIntentClassification (en)":66.09,"MassiveScenarioClassification (en)":73.26,"MTOPDomainClassification (en)":89.93,"MTOPIntentClassification (en)":66.56,"ToxicConversationsClassification":67.96,"TweetSentimentExtractionClassification":59.6}
|
128 |
{"index":112,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":68.04,"AmazonCounterfactualClassification (en)":67.76,"AmazonPolarityClassification":79.75,"AmazonReviewsClassification (en)":37.45,"Banking77Classification":81.17,"EmotionClassification":44.53,"ImdbClassification":76.46,"MassiveIntentClassification (en)":68.58,"MassiveScenarioClassification (en)":73.92,"MTOPDomainClassification (en)":90.67,"MTOPIntentClassification (en)":68.29,"ToxicConversationsClassification":70.23,"TweetSentimentExtractionClassification":57.64}
|
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-
{"index":
|
130 |
-
{"index":
|
131 |
-
{"index":
|
132 |
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{"index":
|
133 |
-
{"index":
|
134 |
{"index":252,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":67.9,"AmazonCounterfactualClassification (en)":75.81,"AmazonPolarityClassification":76.41,"AmazonReviewsClassification (en)":38.51,"Banking77Classification":81.07,"EmotionClassification":45.83,"ImdbClassification":64.57,"MassiveIntentClassification (en)":69.32,"MassiveScenarioClassification (en)":75.35,"MTOPDomainClassification (en)":89.24,"MTOPIntentClassification (en)":68.69,"ToxicConversationsClassification":71.02,"TweetSentimentExtractionClassification":59.03}
|
135 |
{"index":268,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.9,"AmazonCounterfactualClassification (en)":76.19,"AmazonPolarityClassification":69.63,"AmazonReviewsClassification (en)":35.53,"Banking77Classification":78.13,"EmotionClassification":45.48,"ImdbClassification":64.06,"MassiveIntentClassification (en)":71.69,"MassiveScenarioClassification (en)":77.2,"MTOPDomainClassification (en)":92.94,"MTOPIntentClassification (en)":74.43,"ToxicConversationsClassification":70.17,"TweetSentimentExtractionClassification":59.31}
|
136 |
{"index":73,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.9,"AmazonCounterfactualClassification (en)":71.87,"AmazonPolarityClassification":78.79,"AmazonReviewsClassification (en)":39.31,"Banking77Classification":80.58,"EmotionClassification":44.79,"ImdbClassification":71.53,"MassiveIntentClassification (en)":68.84,"MassiveScenarioClassification (en)":73.75,"MTOPDomainClassification (en)":90.79,"MTOPIntentClassification (en)":68.72,"ToxicConversationsClassification":66.29,"TweetSentimentExtractionClassification":59.49}
|
137 |
{"index":125,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":384,"Max Tokens":4096,"Average":67.8,"AmazonCounterfactualClassification (en)":68.75,"AmazonPolarityClassification":81.3,"AmazonReviewsClassification (en)":38.57,"Banking77Classification":79.98,"EmotionClassification":40.09,"ImdbClassification":80.09,"MassiveIntentClassification (en)":67.58,"MassiveScenarioClassification (en)":73.47,"MTOPDomainClassification (en)":90.36,"MTOPIntentClassification (en)":66.45,"ToxicConversationsClassification":69.34,"TweetSentimentExtractionClassification":57.6}
|
138 |
{"index":76,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Venusaur\">Venusaur<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.77,"AmazonCounterfactualClassification (en)":73.18,"AmazonPolarityClassification":79.99,"AmazonReviewsClassification (en)":39.66,"Banking77Classification":77.95,"EmotionClassification":44.38,"ImdbClassification":73.02,"MassiveIntentClassification (en)":67.75,"MassiveScenarioClassification (en)":72.36,"MTOPDomainClassification (en)":89.87,"MTOPIntentClassification (en)":71.03,"ToxicConversationsClassification":64.41,"TweetSentimentExtractionClassification":59.66}
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@@ -149,7 +149,7 @@
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48 |
{"index":271,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":75.16,"AmazonCounterfactualClassification (en)":75.18,"AmazonPolarityClassification":93.07,"AmazonReviewsClassification (en)":48.42,"Banking77Classification":88.03,"EmotionClassification":51.93,"ImdbClassification":91.91,"MassiveIntentClassification (en)":75.91,"MassiveScenarioClassification (en)":79.43,"MTOPDomainClassification (en)":94.33,"MTOPIntentClassification (en)":76.61,"ToxicConversationsClassification":67.91,"TweetSentimentExtractionClassification":59.22}
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49 |
{"index":204,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-quant\">bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.98,"AmazonCounterfactualClassification (en)":76.16,"AmazonPolarityClassification":92.95,"AmazonReviewsClassification (en)":48.21,"Banking77Classification":86.35,"EmotionClassification":51.27,"ImdbClassification":89.72,"MassiveIntentClassification (en)":75.16,"MassiveScenarioClassification (en)":78.93,"MTOPDomainClassification (en)":93.95,"MTOPIntentClassification (en)":75.26,"ToxicConversationsClassification":72.12,"TweetSentimentExtractionClassification":59.67}
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50 |
{"index":54,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/multilingual-e5-large-GGUF\">multilingual-e5-large-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":74.81,"AmazonCounterfactualClassification (en)":79.06,"AmazonPolarityClassification":93.49,"AmazonReviewsClassification (en)":47.56,"Banking77Classification":84.73,"EmotionClassification":46.5,"ImdbClassification":90.23,"MassiveIntentClassification (en)":73.76,"MassiveScenarioClassification (en)":77.51,"MTOPDomainClassification (en)":93.67,"MTOPIntentClassification (en)":77.9,"ToxicConversationsClassification":71.32,"TweetSentimentExtractionClassification":61.98}
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57 |
{"index":70,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":74.07,"AmazonCounterfactualClassification (en)":76.94,"AmazonPolarityClassification":85.29,"AmazonReviewsClassification (en)":47.09,"Banking77Classification":86.16,"EmotionClassification":48.88,"ImdbClassification":77.95,"MassiveIntentClassification (en)":76.65,"MassiveScenarioClassification (en)":79.99,"MTOPDomainClassification (en)":95.48,"MTOPIntentClassification (en)":82.84,"ToxicConversationsClassification":70.71,"TweetSentimentExtractionClassification":60.9}
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58 |
{"index":181,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":73.96,"AmazonCounterfactualClassification (en)":70.85,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":48.94,"Banking77Classification":84.61,"EmotionClassification":54.9,"ImdbClassification":93.14,"MassiveIntentClassification (en)":73.49,"MassiveScenarioClassification (en)":77.38,"MTOPDomainClassification (en)":93.64,"MTOPIntentClassification (en)":66.01,"ToxicConversationsClassification":71.19,"TweetSentimentExtractionClassification":61.55}
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59 |
{"index":161,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.86,"AmazonCounterfactualClassification (en)":88.13,"AmazonPolarityClassification":91.53,"AmazonReviewsClassification (en)":47.86,"Banking77Classification":78.51,"EmotionClassification":52.73,"ImdbClassification":88.32,"MassiveIntentClassification (en)":68.9,"MassiveScenarioClassification (en)":73.35,"MTOPDomainClassification (en)":93.89,"MTOPIntentClassification (en)":67.98,"ToxicConversationsClassification":71.05,"TweetSentimentExtractionClassification":64.13}
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60 |
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{"index":153,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":73.84,"AmazonCounterfactualClassification (en)":77.78,"AmazonPolarityClassification":92.81,"AmazonReviewsClassification (en)":46.71,"Banking77Classification":83.53,"EmotionClassification":46.95,"ImdbClassification":86.15,"MassiveIntentClassification (en)":73.04,"MassiveScenarioClassification (en)":77.65,"MTOPDomainClassification (en)":93.69,"MTOPIntentClassification (en)":75.31,"ToxicConversationsClassification":72.11,"TweetSentimentExtractionClassification":60.39}
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61 |
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{"index":165,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.84,"AmazonCounterfactualClassification (en)":77.78,"AmazonPolarityClassification":92.81,"AmazonReviewsClassification (en)":46.71,"Banking77Classification":83.53,"EmotionClassification":46.95,"ImdbClassification":86.15,"MassiveIntentClassification (en)":73.04,"MassiveScenarioClassification (en)":77.65,"MTOPDomainClassification (en)":93.69,"MTOPIntentClassification (en)":75.31,"ToxicConversationsClassification":72.11,"TweetSentimentExtractionClassification":60.39}
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62 |
{"index":211,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":73.65,"AmazonCounterfactualClassification (en)":78.67,"AmazonPolarityClassification":90.41,"AmazonReviewsClassification (en)":47.81,"Banking77Classification":83.82,"EmotionClassification":48.81,"ImdbClassification":83.78,"MassiveIntentClassification (en)":72.76,"MassiveScenarioClassification (en)":76.7,"MTOPDomainClassification (en)":93.47,"MTOPIntentClassification (en)":75.27,"ToxicConversationsClassification":71.39,"TweetSentimentExtractionClassification":60.87}
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63 |
+
{"index":217,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":73.55,"AmazonCounterfactualClassification (en)":75.21,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":47.16,"Banking77Classification":84.25,"EmotionClassification":47.99,"ImdbClassification":85.31,"MassiveIntentClassification (en)":73.46,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":93.01,"MTOPIntentClassification (en)":75.03,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.92}
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64 |
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{"index":285,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.55,"AmazonCounterfactualClassification (en)":75.21,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":47.16,"Banking77Classification":84.25,"EmotionClassification":47.99,"ImdbClassification":85.31,"MassiveIntentClassification (en)":73.46,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":93.01,"MTOPIntentClassification (en)":75.03,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.92}
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65 |
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{"index":117,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.55,"AmazonCounterfactualClassification (en)":75.21,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":47.16,"Banking77Classification":84.25,"EmotionClassification":47.99,"ImdbClassification":85.31,"MassiveIntentClassification (en)":73.46,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":93.01,"MTOPIntentClassification (en)":75.03,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.92}
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66 |
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{"index":98,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.55,"AmazonCounterfactualClassification (en)":75.21,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":47.16,"Banking77Classification":84.25,"EmotionClassification":47.99,"ImdbClassification":85.31,"MassiveIntentClassification (en)":73.46,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":93.01,"MTOPIntentClassification (en)":75.03,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.92}
|
67 |
{"index":208,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.52,"AmazonCounterfactualClassification (en)":74.19,"AmazonPolarityClassification":91.89,"AmazonReviewsClassification (en)":46.72,"Banking77Classification":85.1,"EmotionClassification":46.84,"ImdbClassification":89.35,"MassiveIntentClassification (en)":74.01,"MassiveScenarioClassification (en)":77.96,"MTOPDomainClassification (en)":92.67,"MTOPIntentClassification (en)":74.03,"ToxicConversationsClassification":69.5,"TweetSentimentExtractionClassification":60.02}
|
68 |
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{"index":123,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aimlresearch2023\/jina-embeddings-v2-base-en-Q8_0-GGUF\">jina-embeddings-v2-base-en-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.45,"AmazonCounterfactualClassification (en)":74.73,"AmazonPolarityClassification":88.54,"AmazonReviewsClassification (en)":45.26,"Banking77Classification":84.01,"EmotionClassification":48.77,"ImdbClassification":79.44,"MassiveIntentClassification (en)":71.93,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":95.68,"MTOPIntentClassification (en)":83.15,"ToxicConversationsClassification":73.35,"TweetSentimentExtractionClassification":62.06}
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69 |
+
{"index":186,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":73.45,"AmazonCounterfactualClassification (en)":74.73,"AmazonPolarityClassification":88.54,"AmazonReviewsClassification (en)":45.26,"Banking77Classification":84.01,"EmotionClassification":48.77,"ImdbClassification":79.44,"MassiveIntentClassification (en)":71.93,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":95.68,"MTOPIntentClassification (en)":83.15,"ToxicConversationsClassification":73.35,"TweetSentimentExtractionClassification":62.06}
|
70 |
{"index":274,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.45,"AmazonCounterfactualClassification (en)":74.73,"AmazonPolarityClassification":88.54,"AmazonReviewsClassification (en)":45.26,"Banking77Classification":84.01,"EmotionClassification":48.77,"ImdbClassification":79.44,"MassiveIntentClassification (en)":71.93,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":95.68,"MTOPIntentClassification (en)":83.15,"ToxicConversationsClassification":73.35,"TweetSentimentExtractionClassification":62.06}
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71 |
{"index":256,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.42,"AmazonCounterfactualClassification (en)":77.07,"AmazonPolarityClassification":92.79,"AmazonReviewsClassification (en)":48.93,"Banking77Classification":82.31,"EmotionClassification":48.57,"ImdbClassification":90.23,"MassiveIntentClassification (en)":73.44,"MassiveScenarioClassification (en)":74.82,"MTOPDomainClassification (en)":92.49,"MTOPIntentClassification (en)":68.33,"ToxicConversationsClassification":70.04,"TweetSentimentExtractionClassification":62.01}
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72 |
{"index":264,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":73.33,"AmazonCounterfactualClassification (en)":72.63,"AmazonPolarityClassification":92.52,"AmazonReviewsClassification (en)":49.07,"Banking77Classification":86.06,"EmotionClassification":47.88,"ImdbClassification":88.46,"MassiveIntentClassification (en)":72.62,"MassiveScenarioClassification (en)":76.77,"MTOPDomainClassification (en)":93.51,"MTOPIntentClassification (en)":73.25,"ToxicConversationsClassification":70.56,"TweetSentimentExtractionClassification":56.58}
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77 |
{"index":134,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/biswa921\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":73.13,"AmazonCounterfactualClassification (en)":75.63,"AmazonPolarityClassification":91.01,"AmazonReviewsClassification (en)":46.99,"Banking77Classification":81.93,"EmotionClassification":50.16,"ImdbClassification":87.84,"MassiveIntentClassification (en)":71.08,"MassiveScenarioClassification (en)":76.64,"MTOPDomainClassification (en)":93.36,"MTOPIntentClassification (en)":66.58,"ToxicConversationsClassification":72.6,"TweetSentimentExtractionClassification":63.71}
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78 |
{"index":162,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.12,"AmazonCounterfactualClassification (en)":85.09,"AmazonPolarityClassification":86.54,"AmazonReviewsClassification (en)":42.96,"Banking77Classification":82.66,"EmotionClassification":53.24,"ImdbClassification":79.79,"MassiveIntentClassification (en)":71.48,"MassiveScenarioClassification (en)":76.47,"MTOPDomainClassification (en)":95.07,"MTOPIntentClassification (en)":72.26,"ToxicConversationsClassification":70.33,"TweetSentimentExtractionClassification":61.58}
|
79 |
{"index":263,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":73.01,"AmazonCounterfactualClassification (en)":74.18,"AmazonPolarityClassification":91.77,"AmazonReviewsClassification (en)":48.96,"Banking77Classification":85.07,"EmotionClassification":48.65,"ImdbClassification":85.95,"MassiveIntentClassification (en)":71.47,"MassiveScenarioClassification (en)":76.38,"MTOPDomainClassification (en)":93.03,"MTOPIntentClassification (en)":72.04,"ToxicConversationsClassification":71.61,"TweetSentimentExtractionClassification":57.01}
|
80 |
+
{"index":119,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":72.95,"AmazonCounterfactualClassification (en)":78.19,"AmazonPolarityClassification":90.7,"AmazonReviewsClassification (en)":47.94,"Banking77Classification":80.99,"EmotionClassification":50.21,"ImdbClassification":88.77,"MassiveIntentClassification (en)":72.02,"MassiveScenarioClassification (en)":76.6,"MTOPDomainClassification (en)":92.43,"MTOPIntentClassification (en)":69.24,"ToxicConversationsClassification":65.57,"TweetSentimentExtractionClassification":62.8}
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81 |
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{"index":57,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":72.95,"AmazonCounterfactualClassification (en)":78.19,"AmazonPolarityClassification":90.7,"AmazonReviewsClassification (en)":47.94,"Banking77Classification":80.99,"EmotionClassification":50.21,"ImdbClassification":88.77,"MassiveIntentClassification (en)":72.02,"MassiveScenarioClassification (en)":76.6,"MTOPDomainClassification (en)":92.43,"MTOPIntentClassification (en)":69.24,"ToxicConversationsClassification":65.57,"TweetSentimentExtractionClassification":62.8}
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82 |
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|
83 |
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84 |
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116 |
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|
117 |
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|
118 |
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|
119 |
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120 |
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{"index":223,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
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126 |
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127 |
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128 |
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129 |
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{"index":107,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":68.01,"AmazonCounterfactualClassification (en)":78.48,"AmazonPolarityClassification":78.74,"AmazonReviewsClassification (en)":39.93,"Banking77Classification":80.26,"EmotionClassification":47.26,"ImdbClassification":71.79,"MassiveIntentClassification (en)":66.55,"MassiveScenarioClassification (en)":73.11,"MTOPDomainClassification (en)":93.04,"MTOPIntentClassification (en)":63.52,"ToxicConversationsClassification":66.74,"TweetSentimentExtractionClassification":56.73}
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130 |
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{"index":279,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":68.01,"AmazonCounterfactualClassification (en)":78.48,"AmazonPolarityClassification":78.74,"AmazonReviewsClassification (en)":39.93,"Banking77Classification":80.26,"EmotionClassification":47.26,"ImdbClassification":71.79,"MassiveIntentClassification (en)":66.55,"MassiveScenarioClassification (en)":73.11,"MTOPDomainClassification (en)":93.04,"MTOPIntentClassification (en)":63.52,"ToxicConversationsClassification":66.74,"TweetSentimentExtractionClassification":56.73}
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131 |
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{"index":185,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":67.98,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":77.52,"AmazonReviewsClassification (en)":38.5,"Banking77Classification":83.94,"EmotionClassification":44.64,"ImdbClassification":68.61,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":73.74,"MTOPDomainClassification (en)":89.38,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":69.65,"TweetSentimentExtractionClassification":60.43}
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132 |
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{"index":61,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.98,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":77.52,"AmazonReviewsClassification (en)":38.5,"Banking77Classification":83.94,"EmotionClassification":44.64,"ImdbClassification":68.61,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":73.74,"MTOPDomainClassification (en)":89.38,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":69.65,"TweetSentimentExtractionClassification":60.43}
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133 |
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{"index":136,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.98,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":77.52,"AmazonReviewsClassification (en)":38.5,"Banking77Classification":83.94,"EmotionClassification":44.64,"ImdbClassification":68.61,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":73.74,"MTOPDomainClassification (en)":89.38,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":69.65,"TweetSentimentExtractionClassification":60.43}
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134 |
{"index":252,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":67.9,"AmazonCounterfactualClassification (en)":75.81,"AmazonPolarityClassification":76.41,"AmazonReviewsClassification (en)":38.51,"Banking77Classification":81.07,"EmotionClassification":45.83,"ImdbClassification":64.57,"MassiveIntentClassification (en)":69.32,"MassiveScenarioClassification (en)":75.35,"MTOPDomainClassification (en)":89.24,"MTOPIntentClassification (en)":68.69,"ToxicConversationsClassification":71.02,"TweetSentimentExtractionClassification":59.03}
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135 |
{"index":268,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.9,"AmazonCounterfactualClassification (en)":76.19,"AmazonPolarityClassification":69.63,"AmazonReviewsClassification (en)":35.53,"Banking77Classification":78.13,"EmotionClassification":45.48,"ImdbClassification":64.06,"MassiveIntentClassification (en)":71.69,"MassiveScenarioClassification (en)":77.2,"MTOPDomainClassification (en)":92.94,"MTOPIntentClassification (en)":74.43,"ToxicConversationsClassification":70.17,"TweetSentimentExtractionClassification":59.31}
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136 |
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137 |
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138 |
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139 |
{"index":59,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":67.77,"AmazonCounterfactualClassification (en)":74.28,"AmazonPolarityClassification":82.2,"AmazonReviewsClassification (en)":40.22,"Banking77Classification":80.31,"EmotionClassification":40.81,"ImdbClassification":73.7,"MassiveIntentClassification (en)":68.86,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":89.73,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":62.52,"TweetSentimentExtractionClassification":59.6}
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140 |
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{"index":183,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.76,"AmazonCounterfactualClassification (en)":68.93,"AmazonPolarityClassification":69.14,"AmazonReviewsClassification (en)":31.38,"Banking77Classification":85.34,"EmotionClassification":45.84,"ImdbClassification":66.42,"MassiveIntentClassification (en)":72.73,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":92.83,"MTOPIntentClassification (en)":76.09,"ToxicConversationsClassification":69.13,"TweetSentimentExtractionClassification":58.16}
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141 |
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142 |
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143 |
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149 |
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150 |
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151 |
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152 |
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{"index":144,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":66.95,"AmazonCounterfactualClassification (en)":67.06,"AmazonPolarityClassification":70.41,"AmazonReviewsClassification (en)":33.21,"Banking77Classification":82.73,"EmotionClassification":43.47,"ImdbClassification":67.3,"MassiveIntentClassification (en)":71.77,"MassiveScenarioClassification (en)":77.85,"MTOPDomainClassification (en)":91.82,"MTOPIntentClassification (en)":74.7,"ToxicConversationsClassification":67.48,"TweetSentimentExtractionClassification":55.62}
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153 |
{"index":218,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nthakur\/contriever-base-msmarco\">contriever-base-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":66.68,"AmazonCounterfactualClassification (en)":72.19,"AmazonPolarityClassification":68.63,"AmazonReviewsClassification (en)":37.42,"Banking77Classification":80.02,"EmotionClassification":44.77,"ImdbClassification":67.04,"MassiveIntentClassification (en)":67.78,"MassiveScenarioClassification (en)":76.0,"MTOPDomainClassification (en)":93.18,"MTOPIntentClassification (en)":69.31,"ToxicConversationsClassification":67.77,"TweetSentimentExtractionClassification":56.1}
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154 |
{"index":84,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":66.52,"AmazonCounterfactualClassification (en)":65.21,"AmazonPolarityClassification":73.21,"AmazonReviewsClassification (en)":34.96,"Banking77Classification":82.06,"EmotionClassification":46.39,"ImdbClassification":64.05,"MassiveIntentClassification (en)":68.65,"MassiveScenarioClassification (en)":76.04,"MTOPDomainClassification (en)":92.08,"MTOPIntentClassification (en)":71.19,"ToxicConversationsClassification":68.73,"TweetSentimentExtractionClassification":55.67}
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155 |
{"index":216,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-64<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":64,"Max Tokens":8192,"Average":66.48,"AmazonCounterfactualClassification (en)":66.85,"AmazonPolarityClassification":85.92,"AmazonReviewsClassification (en)":41.02,"Banking77Classification":80.63,"EmotionClassification":40.55,"ImdbClassification":76.6,"MassiveIntentClassification (en)":64.95,"MassiveScenarioClassification (en)":70.38,"MTOPDomainClassification (en)":86.31,"MTOPIntentClassification (en)":62.77,"ToxicConversationsClassification":66.53,"TweetSentimentExtractionClassification":55.23}
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boards_data/en/data_tasks/Clustering/default.jsonl
CHANGED
@@ -27,8 +27,8 @@
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|
27 |
{"index":264,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.84,"ArxivClusteringP2P":48.62,"ArxivClusteringS2S":43.36,"BiorxivClusteringP2P":39.11,"BiorxivClusteringS2S":36.85,"MedrxivClusteringP2P":33.39,"MedrxivClusteringS2S":31.76,"RedditClustering":60.83,"RedditClusteringP2P":64.24,"StackExchangeClustering":67.64,"StackExchangeClusteringP2P":36.57,"TwentyNewsgroupsClustering":52.82}
|
28 |
{"index":18,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.82,"ArxivClusteringP2P":47.51,"ArxivClusteringS2S":42.05,"BiorxivClusteringP2P":40.32,"BiorxivClusteringS2S":37.55,"MedrxivClusteringP2P":34.6,"MedrxivClusteringS2S":32.27,"RedditClustering":58.61,"RedditClusteringP2P":66.87,"StackExchangeClustering":68.93,"StackExchangeClusteringP2P":37.6,"TwentyNewsgroupsClustering":48.75}
|
29 |
{"index":114,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.73,"ArxivClusteringP2P":49.03,"ArxivClusteringS2S":43.09,"BiorxivClusteringP2P":39.38,"BiorxivClusteringS2S":37.23,"MedrxivClusteringP2P":33.22,"MedrxivClusteringS2S":31.18,"RedditClustering":60.52,"RedditClusteringP2P":65.35,"StackExchangeClustering":66.54,"StackExchangeClusteringP2P":36.72,"TwentyNewsgroupsClustering":51.72}
|
30 |
-
{"index":
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31 |
-
{"index":
|
32 |
{"index":298,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":46.65,"ArxivClusteringP2P":46.57,"ArxivClusteringS2S":39.35,"BiorxivClusteringP2P":37.77,"BiorxivClusteringS2S":34.68,"MedrxivClusteringP2P":32.77,"MedrxivClusteringS2S":31.85,"RedditClustering":64.09,"RedditClusteringP2P":65.12,"StackExchangeClustering":72.05,"StackExchangeClusteringP2P":34.04,"TwentyNewsgroupsClustering":54.81}
|
33 |
{"index":181,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.61,"ArxivClusteringP2P":48.73,"ArxivClusteringS2S":42.87,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":37.24,"MedrxivClusteringP2P":34.31,"MedrxivClusteringS2S":32.18,"RedditClustering":59.43,"RedditClusteringP2P":64.54,"StackExchangeClustering":65.08,"StackExchangeClusteringP2P":35.52,"TwentyNewsgroupsClustering":53.12}
|
34 |
{"index":34,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":46.6,"ArxivClusteringP2P":48.16,"ArxivClusteringS2S":40.79,"BiorxivClusteringP2P":40.5,"BiorxivClusteringS2S":36.91,"MedrxivClusteringP2P":36.18,"MedrxivClusteringS2S":33.44,"RedditClustering":58.11,"RedditClusteringP2P":65.02,"StackExchangeClustering":68.12,"StackExchangeClusteringP2P":35.22,"TwentyNewsgroupsClustering":50.14}
|
@@ -39,15 +39,15 @@
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|
39 |
{"index":296,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":46.23,"ArxivClusteringP2P":47.05,"ArxivClusteringS2S":42.59,"BiorxivClusteringP2P":35.43,"BiorxivClusteringS2S":33.86,"MedrxivClusteringP2P":32.1,"MedrxivClusteringS2S":31.15,"RedditClustering":60.18,"RedditClusteringP2P":64.71,"StackExchangeClustering":71.23,"StackExchangeClusteringP2P":35.95,"TwentyNewsgroupsClustering":54.24}
|
40 |
{"index":126,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":46.21,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.74,"BiorxivClusteringP2P":39.04,"BiorxivClusteringS2S":36.67,"MedrxivClusteringP2P":33.92,"MedrxivClusteringS2S":32.25,"RedditClustering":59.11,"RedditClusteringP2P":62.44,"StackExchangeClustering":66.14,"StackExchangeClusteringP2P":35.59,"TwentyNewsgroupsClustering":52.16}
|
41 |
{"index":263,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":46.2,"ArxivClusteringP2P":48.6,"ArxivClusteringS2S":43.01,"BiorxivClusteringP2P":38.2,"BiorxivClusteringS2S":36.59,"MedrxivClusteringP2P":33.17,"MedrxivClusteringS2S":31.77,"RedditClustering":59.33,"RedditClusteringP2P":62.59,"StackExchangeClustering":66.64,"StackExchangeClusteringP2P":36.0,"TwentyNewsgroupsClustering":52.31}
|
42 |
-
{"index":
|
43 |
{"index":228,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
44 |
-
{"index":
|
45 |
{"index":200,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.07,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.34,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":36.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.22,"RedditClustering":57.93,"RedditClusteringP2P":62.47,"StackExchangeClustering":66.41,"StackExchangeClusteringP2P":35.32,"TwentyNewsgroupsClustering":51.48}
|
46 |
{"index":295,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":45.9,"ArxivClusteringP2P":45.01,"ArxivClusteringS2S":36.85,"BiorxivClusteringP2P":36.66,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":32.6,"MedrxivClusteringS2S":30.8,"RedditClustering":61.42,"RedditClusteringP2P":64.13,"StackExchangeClustering":72.22,"StackExchangeClusteringP2P":38.49,"TwentyNewsgroupsClustering":52.56}
|
47 |
{"index":21,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.81,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":36.62,"MedrxivClusteringP2P":33.21,"MedrxivClusteringS2S":31.68,"RedditClustering":56.61,"RedditClusteringP2P":62.66,"StackExchangeClustering":66.11,"StackExchangeClusteringP2P":35.24,"TwentyNewsgroupsClustering":50.75}
|
48 |
{"index":131,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
|
49 |
-
{"index":
|
50 |
-
{"index":
|
51 |
{"index":69,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":45.54,"ArxivClusteringP2P":42.81,"ArxivClusteringS2S":44.24,"BiorxivClusteringP2P":34.27,"BiorxivClusteringS2S":35.53,"MedrxivClusteringP2P":31.07,"MedrxivClusteringS2S":31.27,"RedditClustering":60.24,"RedditClusteringP2P":64.12,"StackExchangeClustering":70.73,"StackExchangeClusteringP2P":34.5,"TwentyNewsgroupsClustering":52.18}
|
52 |
{"index":161,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.29,"ArxivClusteringP2P":43.16,"ArxivClusteringS2S":32.56,"BiorxivClusteringP2P":37.62,"BiorxivClusteringS2S":31.33,"MedrxivClusteringP2P":34.22,"MedrxivClusteringS2S":32.0,"RedditClustering":63.65,"RedditClusteringP2P":64.63,"StackExchangeClustering":68.78,"StackExchangeClusteringP2P":36.15,"TwentyNewsgroupsClustering":54.13}
|
53 |
{"index":65,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":45.24,"ArxivClusteringP2P":43.14,"ArxivClusteringS2S":42.38,"BiorxivClusteringP2P":35.88,"BiorxivClusteringS2S":34.81,"MedrxivClusteringP2P":32.23,"MedrxivClusteringS2S":31.37,"RedditClustering":61.1,"RedditClusteringP2P":64.52,"StackExchangeClustering":67.98,"StackExchangeClusteringP2P":33.2,"TwentyNewsgroupsClustering":51.04}
|
@@ -60,16 +60,16 @@
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|
60 |
{"index":129,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":44.82,"ArxivClusteringP2P":47.62,"ArxivClusteringS2S":39.86,"BiorxivClusteringP2P":39.22,"BiorxivClusteringS2S":35.43,"MedrxivClusteringP2P":34.5,"MedrxivClusteringS2S":32.16,"RedditClustering":55.51,"RedditClusteringP2P":60.64,"StackExchangeClustering":61.91,"StackExchangeClusteringP2P":36.16,"TwentyNewsgroupsClustering":50.01}
|
61 |
{"index":162,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.74,"ArxivClusteringP2P":42.45,"ArxivClusteringS2S":32.21,"BiorxivClusteringP2P":37.37,"BiorxivClusteringS2S":30.55,"MedrxivClusteringP2P":33.19,"MedrxivClusteringS2S":30.79,"RedditClustering":63.49,"RedditClusteringP2P":65.13,"StackExchangeClustering":68.44,"StackExchangeClusteringP2P":35.17,"TwentyNewsgroupsClustering":53.38}
|
62 |
{"index":31,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.64,"ArxivClusteringP2P":46.19,"ArxivClusteringS2S":37.58,"BiorxivClusteringP2P":38.97,"BiorxivClusteringS2S":34.52,"MedrxivClusteringP2P":37.66,"MedrxivClusteringS2S":33.54,"RedditClustering":53.5,"RedditClusteringP2P":63.59,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":36.48,"TwentyNewsgroupsClustering":46.06}
|
63 |
-
{"index":
|
64 |
-
{"index":
|
65 |
{"index":53,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.49,"ArxivClusteringP2P":45.55,"ArxivClusteringS2S":41.02,"BiorxivClusteringP2P":37.36,"BiorxivClusteringS2S":34.85,"MedrxivClusteringP2P":31.82,"MedrxivClusteringS2S":30.38,"RedditClustering":55.83,"RedditClusteringP2P":63.38,"StackExchangeClustering":65.92,"StackExchangeClusteringP2P":33.67,"TwentyNewsgroupsClustering":49.6}
|
66 |
{"index":20,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":44.31,"ArxivClusteringP2P":46.02,"ArxivClusteringS2S":41.07,"BiorxivClusteringP2P":37.59,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":33.05,"MedrxivClusteringS2S":31.97,"RedditClustering":55.72,"RedditClusteringP2P":62.25,"StackExchangeClustering":63.42,"StackExchangeClusteringP2P":31.71,"TwentyNewsgroupsClustering":50.35}
|
67 |
{"index":167,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":44.26,"ArxivClusteringP2P":45.55,"ArxivClusteringS2S":41.02,"BiorxivClusteringP2P":36.72,"BiorxivClusteringS2S":35.47,"MedrxivClusteringP2P":31.45,"MedrxivClusteringS2S":29.91,"RedditClustering":55.5,"RedditClusteringP2P":63.71,"StackExchangeClustering":65.23,"StackExchangeClusteringP2P":33.62,"TwentyNewsgroupsClustering":48.73}
|
68 |
{"index":165,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.1,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.12,"BiorxivClusteringS2S":33.41,"MedrxivClusteringP2P":31.82,"MedrxivClusteringS2S":29.68,"RedditClustering":56.54,"RedditClusteringP2P":63.23,"StackExchangeClustering":64.6,"StackExchangeClusteringP2P":33.02,"TwentyNewsgroupsClustering":49.86}
|
69 |
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{"index":
|
70 |
{"index":117,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
71 |
-
{"index":
|
72 |
-
{"index":
|
73 |
{"index":210,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
|
74 |
{"index":26,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":43.82,"ArxivClusteringP2P":47.4,"ArxivClusteringS2S":40.02,"BiorxivClusteringP2P":38.47,"BiorxivClusteringS2S":34.72,"MedrxivClusteringP2P":33.06,"MedrxivClusteringS2S":30.86,"RedditClustering":52.32,"RedditClusteringP2P":60.64,"StackExchangeClustering":60.78,"StackExchangeClusteringP2P":35.27,"TwentyNewsgroupsClustering":48.52}
|
75 |
{"index":153,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":43.8,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.5,"BiorxivClusteringS2S":32.72,"MedrxivClusteringP2P":31.46,"MedrxivClusteringS2S":28.99,"RedditClustering":56.16,"RedditClusteringP2P":63.43,"StackExchangeClustering":65.15,"StackExchangeClusteringP2P":32.5,"TwentyNewsgroupsClustering":48.16}
|
@@ -104,8 +104,8 @@
|
|
104 |
{"index":274,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":41.73,"ArxivClusteringP2P":45.39,"ArxivClusteringS2S":36.68,"BiorxivClusteringP2P":37.05,"BiorxivClusteringS2S":30.16,"MedrxivClusteringP2P":32.41,"MedrxivClusteringS2S":28.09,"RedditClustering":53.05,"RedditClusteringP2P":60.31,"StackExchangeClustering":58.52,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":42.46}
|
105 |
{"index":254,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":41.65,"ArxivClusteringP2P":41.62,"ArxivClusteringS2S":29.44,"BiorxivClusteringP2P":35.99,"BiorxivClusteringS2S":24.02,"MedrxivClusteringP2P":32.4,"MedrxivClusteringS2S":26.33,"RedditClustering":54.53,"RedditClusteringP2P":62.5,"StackExchangeClustering":65.11,"StackExchangeClusteringP2P":36.86,"TwentyNewsgroupsClustering":49.33}
|
106 |
{"index":246,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":41.6,"ArxivClusteringP2P":37.5,"ArxivClusteringS2S":30.55,"BiorxivClusteringP2P":29.59,"BiorxivClusteringS2S":25.72,"MedrxivClusteringP2P":28.72,"MedrxivClusteringS2S":27.39,"RedditClustering":61.69,"RedditClusteringP2P":61.67,"StackExchangeClustering":69.93,"StackExchangeClusteringP2P":33.21,"TwentyNewsgroupsClustering":51.64}
|
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-
{"index":
|
108 |
-
{"index":
|
109 |
{"index":247,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":41.51,"ArxivClusteringP2P":37.9,"ArxivClusteringS2S":30.45,"BiorxivClusteringP2P":30.52,"BiorxivClusteringS2S":26.06,"MedrxivClusteringP2P":28.69,"MedrxivClusteringS2S":26.69,"RedditClustering":61.34,"RedditClusteringP2P":61.11,"StackExchangeClustering":69.95,"StackExchangeClusteringP2P":32.73,"TwentyNewsgroupsClustering":51.15}
|
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{"index":105,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"Embedding Dimensions":1024,"Max Tokens":512,"Average":41.49,"ArxivClusteringP2P":47.46,"ArxivClusteringS2S":38.29,"BiorxivClusteringP2P":37.54,"BiorxivClusteringS2S":32.65,"MedrxivClusteringP2P":31.47,"MedrxivClusteringS2S":28.94,"RedditClustering":46.02,"RedditClusteringP2P":62.43,"StackExchangeClustering":57.86,"StackExchangeClusteringP2P":37.82,"TwentyNewsgroupsClustering":35.91}
|
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{"index":172,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":41.23,"ArxivClusteringP2P":44.31,"ArxivClusteringS2S":38.43,"BiorxivClusteringP2P":35.5,"BiorxivClusteringS2S":33.3,"MedrxivClusteringP2P":31.7,"MedrxivClusteringS2S":29.76,"RedditClustering":46.91,"RedditClusteringP2P":63.0,"StackExchangeClustering":58.37,"StackExchangeClusteringP2P":32.9,"TwentyNewsgroupsClustering":39.4}
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|
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{"index":109,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":40.88,"ArxivClusteringP2P":44.94,"ArxivClusteringS2S":35.87,"BiorxivClusteringP2P":35.68,"BiorxivClusteringS2S":30.47,"MedrxivClusteringP2P":30.79,"MedrxivClusteringS2S":27.95,"RedditClustering":50.47,"RedditClusteringP2P":60.54,"StackExchangeClustering":60.7,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":38.28}
|
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{"index":190,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":40.86,"ArxivClusteringP2P":47.03,"ArxivClusteringS2S":38.38,"BiorxivClusteringP2P":38.98,"BiorxivClusteringS2S":34.94,"MedrxivClusteringP2P":33.98,"MedrxivClusteringS2S":31.67,"RedditClustering":42.72,"RedditClusteringP2P":56.93,"StackExchangeClustering":53.6,"StackExchangeClusteringP2P":32.87,"TwentyNewsgroupsClustering":38.38}
|
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{"index":66,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse\">LLM2Vec-Llama-2-unsupervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":40.83,"ArxivClusteringP2P":47.81,"ArxivClusteringS2S":40.53,"BiorxivClusteringP2P":38.12,"BiorxivClusteringS2S":31.25,"MedrxivClusteringP2P":30.94,"MedrxivClusteringS2S":28.04,"RedditClustering":42.84,"RedditClusteringP2P":60.1,"StackExchangeClustering":65.12,"StackExchangeClusteringP2P":33.61,"TwentyNewsgroupsClustering":30.76}
|
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-
{"index":144,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":
|
119 |
{"index":180,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":40.81,"ArxivClusteringP2P":45.66,"ArxivClusteringS2S":38.42,"BiorxivClusteringP2P":35.54,"BiorxivClusteringS2S":32.19,"MedrxivClusteringP2P":30.95,"MedrxivClusteringS2S":28.87,"RedditClustering":47.9,"RedditClusteringP2P":55.95,"StackExchangeClustering":60.27,"StackExchangeClusteringP2P":32.34,"TwentyNewsgroupsClustering":40.81}
|
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{"index":178,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":40.74,"ArxivClusteringP2P":45.37,"ArxivClusteringS2S":36.52,"BiorxivClusteringP2P":36.52,"BiorxivClusteringS2S":31.98,"MedrxivClusteringP2P":31.71,"MedrxivClusteringS2S":28.8,"RedditClustering":49.71,"RedditClusteringP2P":55.07,"StackExchangeClustering":59.42,"StackExchangeClusteringP2P":31.7,"TwentyNewsgroupsClustering":41.29}
|
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{"index":108,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":40.71,"ArxivClusteringP2P":44.95,"ArxivClusteringS2S":34.12,"BiorxivClusteringP2P":35.27,"BiorxivClusteringS2S":28.41,"MedrxivClusteringP2P":31.14,"MedrxivClusteringS2S":27.01,"RedditClustering":51.86,"RedditClusteringP2P":61.81,"StackExchangeClustering":61.24,"StackExchangeClusteringP2P":33.81,"TwentyNewsgroupsClustering":38.14}
|
@@ -136,14 +136,14 @@
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|
136 |
{"index":81,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.54,"ArxivClusteringP2P":42.86,"ArxivClusteringS2S":32.48,"BiorxivClusteringP2P":36.83,"BiorxivClusteringS2S":29.24,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":30.8,"RedditClustering":48.28,"RedditClusteringP2P":53.56,"StackExchangeClustering":55.07,"StackExchangeClusteringP2P":31.92,"TwentyNewsgroupsClustering":41.37}
|
137 |
{"index":127,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.48,"ArxivClusteringP2P":45.31,"ArxivClusteringS2S":35.45,"BiorxivClusteringP2P":38.38,"BiorxivClusteringS2S":31.09,"MedrxivClusteringP2P":33.35,"MedrxivClusteringS2S":29.79,"RedditClustering":44.12,"RedditClusteringP2P":48.68,"StackExchangeClustering":53.11,"StackExchangeClusteringP2P":33.91,"TwentyNewsgroupsClustering":41.13}
|
138 |
{"index":111,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.46,"ArxivClusteringP2P":44.6,"ArxivClusteringS2S":34.48,"BiorxivClusteringP2P":37.13,"BiorxivClusteringS2S":29.72,"MedrxivClusteringP2P":31.98,"MedrxivClusteringS2S":29.26,"RedditClustering":45.27,"RedditClusteringP2P":54.47,"StackExchangeClustering":53.11,"StackExchangeClusteringP2P":34.67,"TwentyNewsgroupsClustering":39.37}
|
139 |
-
{"index":
|
140 |
-
{"index":
|
141 |
{"index":112,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.18,"ArxivClusteringP2P":44.53,"ArxivClusteringS2S":33.25,"BiorxivClusteringP2P":36.11,"BiorxivClusteringS2S":28.06,"MedrxivClusteringP2P":31.56,"MedrxivClusteringS2S":28.13,"RedditClustering":45.46,"RedditClusteringP2P":55.16,"StackExchangeClustering":54.51,"StackExchangeClusteringP2P":34.07,"TwentyNewsgroupsClustering":40.19}
|
142 |
{"index":59,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.16,"ArxivClusteringP2P":41.76,"ArxivClusteringS2S":31.63,"BiorxivClusteringP2P":36.01,"BiorxivClusteringS2S":28.77,"MedrxivClusteringP2P":31.27,"MedrxivClusteringS2S":28.97,"RedditClustering":47.39,"RedditClusteringP2P":58.38,"StackExchangeClustering":52.47,"StackExchangeClusteringP2P":33.63,"TwentyNewsgroupsClustering":40.52}
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143 |
{"index":177,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":39.11,"ArxivClusteringP2P":44.52,"ArxivClusteringS2S":34.45,"BiorxivClusteringP2P":35.25,"BiorxivClusteringS2S":30.71,"MedrxivClusteringP2P":29.43,"MedrxivClusteringS2S":28.87,"RedditClustering":44.52,"RedditClusteringP2P":53.61,"StackExchangeClustering":57.11,"StackExchangeClusteringP2P":31.91,"TwentyNewsgroupsClustering":39.8}
|
144 |
-
{"index":
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145 |
-
{"index":
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146 |
-
{"index":
|
147 |
{"index":133,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":38.93,"ArxivClusteringP2P":44.59,"ArxivClusteringS2S":38.03,"BiorxivClusteringP2P":36.03,"BiorxivClusteringS2S":32.48,"MedrxivClusteringP2P":31.05,"MedrxivClusteringS2S":29.26,"RedditClustering":35.53,"RedditClusteringP2P":54.52,"StackExchangeClustering":55.13,"StackExchangeClusteringP2P":34.31,"TwentyNewsgroupsClustering":37.28}
|
148 |
{"index":110,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":38.86,"ArxivClusteringP2P":43.5,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.48,"BiorxivClusteringS2S":26.14,"MedrxivClusteringP2P":30.57,"MedrxivClusteringS2S":26.22,"RedditClustering":48.32,"RedditClusteringP2P":57.84,"StackExchangeClustering":57.49,"StackExchangeClusteringP2P":34.58,"TwentyNewsgroupsClustering":36.28}
|
149 |
{"index":245,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":38.63,"ArxivClusteringP2P":35.49,"ArxivClusteringS2S":27.18,"BiorxivClusteringP2P":27.66,"BiorxivClusteringS2S":23.25,"MedrxivClusteringP2P":27.57,"MedrxivClusteringS2S":25.13,"RedditClustering":56.13,"RedditClusteringP2P":58.53,"StackExchangeClustering":64.21,"StackExchangeClusteringP2P":33.01,"TwentyNewsgroupsClustering":46.72}
|
@@ -157,7 +157,7 @@
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|
157 |
{"index":291,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":37.52,"ArxivClusteringP2P":41.49,"ArxivClusteringS2S":28.47,"BiorxivClusteringP2P":36.86,"BiorxivClusteringS2S":27.55,"MedrxivClusteringP2P":31.09,"MedrxivClusteringS2S":26.5,"RedditClustering":42.47,"RedditClusteringP2P":58.1,"StackExchangeClustering":53.52,"StackExchangeClusteringP2P":30.43,"TwentyNewsgroupsClustering":36.26}
|
158 |
{"index":72,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":37.45,"ArxivClusteringP2P":42.92,"ArxivClusteringS2S":35.2,"BiorxivClusteringP2P":35.02,"BiorxivClusteringS2S":27.21,"MedrxivClusteringP2P":30.15,"MedrxivClusteringS2S":26.96,"RedditClustering":38.67,"RedditClusteringP2P":53.42,"StackExchangeClustering":59.35,"StackExchangeClusteringP2P":31.47,"TwentyNewsgroupsClustering":31.54}
|
159 |
{"index":174,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.22,"ArxivClusteringP2P":39.22,"ArxivClusteringS2S":30.8,"BiorxivClusteringP2P":35.84,"BiorxivClusteringS2S":27.35,"MedrxivClusteringP2P":30.72,"MedrxivClusteringS2S":27.0,"RedditClustering":40.12,"RedditClusteringP2P":59.49,"StackExchangeClustering":53.32,"StackExchangeClusteringP2P":31.87,"TwentyNewsgroupsClustering":33.67}
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160 |
-
{"index":183,"Rank":160,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":
|
161 |
{"index":251,"Rank":161,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.15,"ArxivClusteringP2P":38.33,"ArxivClusteringS2S":31.55,"BiorxivClusteringP2P":33.79,"BiorxivClusteringS2S":29.41,"MedrxivClusteringP2P":31.0,"MedrxivClusteringS2S":30.85,"RedditClustering":42.64,"RedditClusteringP2P":50.1,"StackExchangeClustering":49.29,"StackExchangeClusteringP2P":31.67,"TwentyNewsgroupsClustering":39.99}
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162 |
{"index":64,"Rank":162,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.08,"ArxivClusteringP2P":39.22,"ArxivClusteringS2S":30.8,"BiorxivClusteringP2P":35.75,"BiorxivClusteringS2S":27.05,"MedrxivClusteringP2P":30.9,"MedrxivClusteringS2S":27.26,"RedditClustering":39.13,"RedditClusteringP2P":58.98,"StackExchangeClustering":53.52,"StackExchangeClusteringP2P":32.07,"TwentyNewsgroupsClustering":33.22}
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163 |
{"index":89,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":36.98,"ArxivClusteringP2P":40.55,"ArxivClusteringS2S":32.49,"BiorxivClusteringP2P":33.59,"BiorxivClusteringS2S":29.13,"MedrxivClusteringP2P":30.33,"MedrxivClusteringS2S":28.02,"RedditClustering":42.17,"RedditClusteringP2P":48.02,"StackExchangeClustering":54.13,"StackExchangeClusteringP2P":31.12,"TwentyNewsgroupsClustering":37.2}
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27 |
{"index":264,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.84,"ArxivClusteringP2P":48.62,"ArxivClusteringS2S":43.36,"BiorxivClusteringP2P":39.11,"BiorxivClusteringS2S":36.85,"MedrxivClusteringP2P":33.39,"MedrxivClusteringS2S":31.76,"RedditClustering":60.83,"RedditClusteringP2P":64.24,"StackExchangeClustering":67.64,"StackExchangeClusteringP2P":36.57,"TwentyNewsgroupsClustering":52.82}
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28 |
{"index":18,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":46.82,"ArxivClusteringP2P":47.51,"ArxivClusteringS2S":42.05,"BiorxivClusteringP2P":40.32,"BiorxivClusteringS2S":37.55,"MedrxivClusteringP2P":34.6,"MedrxivClusteringS2S":32.27,"RedditClustering":58.61,"RedditClusteringP2P":66.87,"StackExchangeClustering":68.93,"StackExchangeClusteringP2P":37.6,"TwentyNewsgroupsClustering":48.75}
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29 |
{"index":114,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.73,"ArxivClusteringP2P":49.03,"ArxivClusteringS2S":43.09,"BiorxivClusteringP2P":39.38,"BiorxivClusteringS2S":37.23,"MedrxivClusteringP2P":33.22,"MedrxivClusteringS2S":31.18,"RedditClustering":60.52,"RedditClusteringP2P":65.35,"StackExchangeClustering":66.54,"StackExchangeClusteringP2P":36.72,"TwentyNewsgroupsClustering":51.72}
|
30 |
+
{"index":201,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.71,"ArxivClusteringP2P":48.97,"ArxivClusteringS2S":42.98,"BiorxivClusteringP2P":39.92,"BiorxivClusteringS2S":36.73,"MedrxivClusteringP2P":33.44,"MedrxivClusteringS2S":31.66,"RedditClustering":60.22,"RedditClusteringP2P":65.29,"StackExchangeClustering":65.62,"StackExchangeClusteringP2P":35.78,"TwentyNewsgroupsClustering":53.21}
|
31 |
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{"index":149,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dopeba\/mxbai-embed-large-v1-Q6_K-GGUF\">mxbai-embed-large-v1-Q6_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.71,"ArxivClusteringP2P":48.97,"ArxivClusteringS2S":42.98,"BiorxivClusteringP2P":39.92,"BiorxivClusteringS2S":36.73,"MedrxivClusteringP2P":33.44,"MedrxivClusteringS2S":31.66,"RedditClustering":60.22,"RedditClusteringP2P":65.29,"StackExchangeClustering":65.62,"StackExchangeClusteringP2P":35.78,"TwentyNewsgroupsClustering":53.21}
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32 |
{"index":298,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":46.65,"ArxivClusteringP2P":46.57,"ArxivClusteringS2S":39.35,"BiorxivClusteringP2P":37.77,"BiorxivClusteringS2S":34.68,"MedrxivClusteringP2P":32.77,"MedrxivClusteringS2S":31.85,"RedditClustering":64.09,"RedditClusteringP2P":65.12,"StackExchangeClustering":72.05,"StackExchangeClusteringP2P":34.04,"TwentyNewsgroupsClustering":54.81}
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33 |
{"index":181,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.61,"ArxivClusteringP2P":48.73,"ArxivClusteringS2S":42.87,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":37.24,"MedrxivClusteringP2P":34.31,"MedrxivClusteringS2S":32.18,"RedditClustering":59.43,"RedditClusteringP2P":64.54,"StackExchangeClustering":65.08,"StackExchangeClusteringP2P":35.52,"TwentyNewsgroupsClustering":53.12}
|
34 |
{"index":34,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":46.6,"ArxivClusteringP2P":48.16,"ArxivClusteringS2S":40.79,"BiorxivClusteringP2P":40.5,"BiorxivClusteringS2S":36.91,"MedrxivClusteringP2P":36.18,"MedrxivClusteringS2S":33.44,"RedditClustering":58.11,"RedditClusteringP2P":65.02,"StackExchangeClustering":68.12,"StackExchangeClusteringP2P":35.22,"TwentyNewsgroupsClustering":50.14}
|
|
|
39 |
{"index":296,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":46.23,"ArxivClusteringP2P":47.05,"ArxivClusteringS2S":42.59,"BiorxivClusteringP2P":35.43,"BiorxivClusteringS2S":33.86,"MedrxivClusteringP2P":32.1,"MedrxivClusteringS2S":31.15,"RedditClustering":60.18,"RedditClusteringP2P":64.71,"StackExchangeClustering":71.23,"StackExchangeClusteringP2P":35.95,"TwentyNewsgroupsClustering":54.24}
|
40 |
{"index":126,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":46.21,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.74,"BiorxivClusteringP2P":39.04,"BiorxivClusteringS2S":36.67,"MedrxivClusteringP2P":33.92,"MedrxivClusteringS2S":32.25,"RedditClustering":59.11,"RedditClusteringP2P":62.44,"StackExchangeClustering":66.14,"StackExchangeClusteringP2P":35.59,"TwentyNewsgroupsClustering":52.16}
|
41 |
{"index":263,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":46.2,"ArxivClusteringP2P":48.6,"ArxivClusteringS2S":43.01,"BiorxivClusteringP2P":38.2,"BiorxivClusteringS2S":36.59,"MedrxivClusteringP2P":33.17,"MedrxivClusteringS2S":31.77,"RedditClustering":59.33,"RedditClusteringP2P":62.59,"StackExchangeClustering":66.64,"StackExchangeClusteringP2P":36.0,"TwentyNewsgroupsClustering":52.31}
|
42 |
+
{"index":23,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
43 |
{"index":228,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
44 |
+
{"index":229,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":46.08,"ArxivClusteringP2P":48.57,"ArxivClusteringS2S":43.19,"BiorxivClusteringP2P":39.71,"BiorxivClusteringS2S":36.9,"MedrxivClusteringP2P":32.56,"MedrxivClusteringS2S":31.47,"RedditClustering":57.24,"RedditClusteringP2P":64.66,"StackExchangeClustering":66.4,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":51.27}
|
45 |
{"index":200,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":46.07,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.34,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":36.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.22,"RedditClustering":57.93,"RedditClusteringP2P":62.47,"StackExchangeClustering":66.41,"StackExchangeClusteringP2P":35.32,"TwentyNewsgroupsClustering":51.48}
|
46 |
{"index":295,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":45.9,"ArxivClusteringP2P":45.01,"ArxivClusteringS2S":36.85,"BiorxivClusteringP2P":36.66,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":32.6,"MedrxivClusteringS2S":30.8,"RedditClustering":61.42,"RedditClusteringP2P":64.13,"StackExchangeClustering":72.22,"StackExchangeClusteringP2P":38.49,"TwentyNewsgroupsClustering":52.56}
|
47 |
{"index":21,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.81,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":36.62,"MedrxivClusteringP2P":33.21,"MedrxivClusteringS2S":31.68,"RedditClustering":56.61,"RedditClusteringP2P":62.66,"StackExchangeClustering":66.11,"StackExchangeClusteringP2P":35.24,"TwentyNewsgroupsClustering":50.75}
|
48 |
{"index":131,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
|
49 |
+
{"index":102,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.58,"ArxivClusteringP2P":48.58,"ArxivClusteringS2S":43.14,"BiorxivClusteringP2P":38.84,"BiorxivClusteringS2S":36.38,"MedrxivClusteringP2P":31.96,"MedrxivClusteringS2S":30.88,"RedditClustering":57.61,"RedditClusteringP2P":64.03,"StackExchangeClustering":65.54,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":50.41}
|
50 |
+
{"index":193,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":45.58,"ArxivClusteringP2P":48.58,"ArxivClusteringS2S":43.14,"BiorxivClusteringP2P":38.84,"BiorxivClusteringS2S":36.38,"MedrxivClusteringP2P":31.96,"MedrxivClusteringS2S":30.88,"RedditClustering":57.61,"RedditClusteringP2P":64.03,"StackExchangeClustering":65.54,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":50.41}
|
51 |
{"index":69,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":45.54,"ArxivClusteringP2P":42.81,"ArxivClusteringS2S":44.24,"BiorxivClusteringP2P":34.27,"BiorxivClusteringS2S":35.53,"MedrxivClusteringP2P":31.07,"MedrxivClusteringS2S":31.27,"RedditClustering":60.24,"RedditClusteringP2P":64.12,"StackExchangeClustering":70.73,"StackExchangeClusteringP2P":34.5,"TwentyNewsgroupsClustering":52.18}
|
52 |
{"index":161,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.29,"ArxivClusteringP2P":43.16,"ArxivClusteringS2S":32.56,"BiorxivClusteringP2P":37.62,"BiorxivClusteringS2S":31.33,"MedrxivClusteringP2P":34.22,"MedrxivClusteringS2S":32.0,"RedditClustering":63.65,"RedditClusteringP2P":64.63,"StackExchangeClustering":68.78,"StackExchangeClusteringP2P":36.15,"TwentyNewsgroupsClustering":54.13}
|
53 |
{"index":65,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":45.24,"ArxivClusteringP2P":43.14,"ArxivClusteringS2S":42.38,"BiorxivClusteringP2P":35.88,"BiorxivClusteringS2S":34.81,"MedrxivClusteringP2P":32.23,"MedrxivClusteringS2S":31.37,"RedditClustering":61.1,"RedditClusteringP2P":64.52,"StackExchangeClustering":67.98,"StackExchangeClusteringP2P":33.2,"TwentyNewsgroupsClustering":51.04}
|
|
|
60 |
{"index":129,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":44.82,"ArxivClusteringP2P":47.62,"ArxivClusteringS2S":39.86,"BiorxivClusteringP2P":39.22,"BiorxivClusteringS2S":35.43,"MedrxivClusteringP2P":34.5,"MedrxivClusteringS2S":32.16,"RedditClustering":55.51,"RedditClusteringP2P":60.64,"StackExchangeClustering":61.91,"StackExchangeClusteringP2P":36.16,"TwentyNewsgroupsClustering":50.01}
|
61 |
{"index":162,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.74,"ArxivClusteringP2P":42.45,"ArxivClusteringS2S":32.21,"BiorxivClusteringP2P":37.37,"BiorxivClusteringS2S":30.55,"MedrxivClusteringP2P":33.19,"MedrxivClusteringS2S":30.79,"RedditClustering":63.49,"RedditClusteringP2P":65.13,"StackExchangeClustering":68.44,"StackExchangeClusteringP2P":35.17,"TwentyNewsgroupsClustering":53.38}
|
62 |
{"index":31,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.64,"ArxivClusteringP2P":46.19,"ArxivClusteringS2S":37.58,"BiorxivClusteringP2P":38.97,"BiorxivClusteringS2S":34.52,"MedrxivClusteringP2P":37.66,"MedrxivClusteringS2S":33.54,"RedditClustering":53.5,"RedditClusteringP2P":63.59,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":36.48,"TwentyNewsgroupsClustering":46.06}
|
63 |
+
{"index":119,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":44.62,"ArxivClusteringP2P":46.18,"ArxivClusteringS2S":38.95,"BiorxivClusteringP2P":37.41,"BiorxivClusteringS2S":34.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.24,"RedditClustering":57.02,"RedditClusteringP2P":63.4,"StackExchangeClustering":63.53,"StackExchangeClusteringP2P":34.48,"TwentyNewsgroupsClustering":49.01}
|
64 |
+
{"index":57,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":44.62,"ArxivClusteringP2P":46.18,"ArxivClusteringS2S":38.95,"BiorxivClusteringP2P":37.41,"BiorxivClusteringS2S":34.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.24,"RedditClustering":57.02,"RedditClusteringP2P":63.4,"StackExchangeClustering":63.53,"StackExchangeClusteringP2P":34.48,"TwentyNewsgroupsClustering":49.01}
|
65 |
{"index":53,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.49,"ArxivClusteringP2P":45.55,"ArxivClusteringS2S":41.02,"BiorxivClusteringP2P":37.36,"BiorxivClusteringS2S":34.85,"MedrxivClusteringP2P":31.82,"MedrxivClusteringS2S":30.38,"RedditClustering":55.83,"RedditClusteringP2P":63.38,"StackExchangeClustering":65.92,"StackExchangeClusteringP2P":33.67,"TwentyNewsgroupsClustering":49.6}
|
66 |
{"index":20,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":44.31,"ArxivClusteringP2P":46.02,"ArxivClusteringS2S":41.07,"BiorxivClusteringP2P":37.59,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":33.05,"MedrxivClusteringS2S":31.97,"RedditClustering":55.72,"RedditClusteringP2P":62.25,"StackExchangeClustering":63.42,"StackExchangeClusteringP2P":31.71,"TwentyNewsgroupsClustering":50.35}
|
67 |
{"index":167,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":44.26,"ArxivClusteringP2P":45.55,"ArxivClusteringS2S":41.02,"BiorxivClusteringP2P":36.72,"BiorxivClusteringS2S":35.47,"MedrxivClusteringP2P":31.45,"MedrxivClusteringS2S":29.91,"RedditClustering":55.5,"RedditClusteringP2P":63.71,"StackExchangeClustering":65.23,"StackExchangeClusteringP2P":33.62,"TwentyNewsgroupsClustering":48.73}
|
68 |
{"index":165,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.1,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.12,"BiorxivClusteringS2S":33.41,"MedrxivClusteringP2P":31.82,"MedrxivClusteringS2S":29.68,"RedditClustering":56.54,"RedditClusteringP2P":63.23,"StackExchangeClustering":64.6,"StackExchangeClusteringP2P":33.02,"TwentyNewsgroupsClustering":49.86}
|
69 |
+
{"index":217,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
70 |
{"index":117,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
71 |
+
{"index":98,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
72 |
+
{"index":285,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
|
73 |
{"index":210,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
|
74 |
{"index":26,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":43.82,"ArxivClusteringP2P":47.4,"ArxivClusteringS2S":40.02,"BiorxivClusteringP2P":38.47,"BiorxivClusteringS2S":34.72,"MedrxivClusteringP2P":33.06,"MedrxivClusteringS2S":30.86,"RedditClustering":52.32,"RedditClusteringP2P":60.64,"StackExchangeClustering":60.78,"StackExchangeClusteringP2P":35.27,"TwentyNewsgroupsClustering":48.52}
|
75 |
{"index":153,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":43.8,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.5,"BiorxivClusteringS2S":32.72,"MedrxivClusteringP2P":31.46,"MedrxivClusteringS2S":28.99,"RedditClustering":56.16,"RedditClusteringP2P":63.43,"StackExchangeClustering":65.15,"StackExchangeClusteringP2P":32.5,"TwentyNewsgroupsClustering":48.16}
|
|
|
104 |
{"index":274,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":41.73,"ArxivClusteringP2P":45.39,"ArxivClusteringS2S":36.68,"BiorxivClusteringP2P":37.05,"BiorxivClusteringS2S":30.16,"MedrxivClusteringP2P":32.41,"MedrxivClusteringS2S":28.09,"RedditClustering":53.05,"RedditClusteringP2P":60.31,"StackExchangeClustering":58.52,"StackExchangeClusteringP2P":34.96,"TwentyNewsgroupsClustering":42.46}
|
105 |
{"index":254,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":41.65,"ArxivClusteringP2P":41.62,"ArxivClusteringS2S":29.44,"BiorxivClusteringP2P":35.99,"BiorxivClusteringS2S":24.02,"MedrxivClusteringP2P":32.4,"MedrxivClusteringS2S":26.33,"RedditClustering":54.53,"RedditClusteringP2P":62.5,"StackExchangeClustering":65.11,"StackExchangeClusteringP2P":36.86,"TwentyNewsgroupsClustering":49.33}
|
106 |
{"index":246,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":41.6,"ArxivClusteringP2P":37.5,"ArxivClusteringS2S":30.55,"BiorxivClusteringP2P":29.59,"BiorxivClusteringS2S":25.72,"MedrxivClusteringP2P":28.72,"MedrxivClusteringS2S":27.39,"RedditClustering":61.69,"RedditClusteringP2P":61.67,"StackExchangeClustering":69.93,"StackExchangeClusteringP2P":33.21,"TwentyNewsgroupsClustering":51.64}
|
107 |
+
{"index":279,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":41.51,"ArxivClusteringP2P":45.56,"ArxivClusteringS2S":35.61,"BiorxivClusteringP2P":36.16,"BiorxivClusteringS2S":30.14,"MedrxivClusteringP2P":31.12,"MedrxivClusteringS2S":26.73,"RedditClustering":50.24,"RedditClusteringP2P":61.45,"StackExchangeClustering":62.63,"StackExchangeClusteringP2P":37.17,"TwentyNewsgroupsClustering":39.83}
|
108 |
+
{"index":107,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":41.51,"ArxivClusteringP2P":45.56,"ArxivClusteringS2S":35.61,"BiorxivClusteringP2P":36.16,"BiorxivClusteringS2S":30.14,"MedrxivClusteringP2P":31.12,"MedrxivClusteringS2S":26.73,"RedditClustering":50.24,"RedditClusteringP2P":61.45,"StackExchangeClustering":62.63,"StackExchangeClusteringP2P":37.17,"TwentyNewsgroupsClustering":39.83}
|
109 |
{"index":247,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":41.51,"ArxivClusteringP2P":37.9,"ArxivClusteringS2S":30.45,"BiorxivClusteringP2P":30.52,"BiorxivClusteringS2S":26.06,"MedrxivClusteringP2P":28.69,"MedrxivClusteringS2S":26.69,"RedditClustering":61.34,"RedditClusteringP2P":61.11,"StackExchangeClustering":69.95,"StackExchangeClusteringP2P":32.73,"TwentyNewsgroupsClustering":51.15}
|
110 |
{"index":105,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"Embedding Dimensions":1024,"Max Tokens":512,"Average":41.49,"ArxivClusteringP2P":47.46,"ArxivClusteringS2S":38.29,"BiorxivClusteringP2P":37.54,"BiorxivClusteringS2S":32.65,"MedrxivClusteringP2P":31.47,"MedrxivClusteringS2S":28.94,"RedditClustering":46.02,"RedditClusteringP2P":62.43,"StackExchangeClustering":57.86,"StackExchangeClusteringP2P":37.82,"TwentyNewsgroupsClustering":35.91}
|
111 |
{"index":172,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":41.23,"ArxivClusteringP2P":44.31,"ArxivClusteringS2S":38.43,"BiorxivClusteringP2P":35.5,"BiorxivClusteringS2S":33.3,"MedrxivClusteringP2P":31.7,"MedrxivClusteringS2S":29.76,"RedditClustering":46.91,"RedditClusteringP2P":63.0,"StackExchangeClustering":58.37,"StackExchangeClusteringP2P":32.9,"TwentyNewsgroupsClustering":39.4}
|
|
|
115 |
{"index":109,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":40.88,"ArxivClusteringP2P":44.94,"ArxivClusteringS2S":35.87,"BiorxivClusteringP2P":35.68,"BiorxivClusteringS2S":30.47,"MedrxivClusteringP2P":30.79,"MedrxivClusteringS2S":27.95,"RedditClustering":50.47,"RedditClusteringP2P":60.54,"StackExchangeClustering":60.7,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":38.28}
|
116 |
{"index":190,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":40.86,"ArxivClusteringP2P":47.03,"ArxivClusteringS2S":38.38,"BiorxivClusteringP2P":38.98,"BiorxivClusteringS2S":34.94,"MedrxivClusteringP2P":33.98,"MedrxivClusteringS2S":31.67,"RedditClustering":42.72,"RedditClusteringP2P":56.93,"StackExchangeClustering":53.6,"StackExchangeClusteringP2P":32.87,"TwentyNewsgroupsClustering":38.38}
|
117 |
{"index":66,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse\">LLM2Vec-Llama-2-unsupervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":40.83,"ArxivClusteringP2P":47.81,"ArxivClusteringS2S":40.53,"BiorxivClusteringP2P":38.12,"BiorxivClusteringS2S":31.25,"MedrxivClusteringP2P":30.94,"MedrxivClusteringS2S":28.04,"RedditClustering":42.84,"RedditClusteringP2P":60.1,"StackExchangeClustering":65.12,"StackExchangeClusteringP2P":33.61,"TwentyNewsgroupsClustering":30.76}
|
118 |
+
{"index":144,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":40.83,"ArxivClusteringP2P":42.9,"ArxivClusteringS2S":32.45,"BiorxivClusteringP2P":37.24,"BiorxivClusteringS2S":29.75,"MedrxivClusteringP2P":36.65,"MedrxivClusteringS2S":32.57,"RedditClustering":50.62,"RedditClusteringP2P":54.44,"StackExchangeClustering":54.26,"StackExchangeClusteringP2P":32.52,"TwentyNewsgroupsClustering":45.7}
|
119 |
{"index":180,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":40.81,"ArxivClusteringP2P":45.66,"ArxivClusteringS2S":38.42,"BiorxivClusteringP2P":35.54,"BiorxivClusteringS2S":32.19,"MedrxivClusteringP2P":30.95,"MedrxivClusteringS2S":28.87,"RedditClustering":47.9,"RedditClusteringP2P":55.95,"StackExchangeClustering":60.27,"StackExchangeClusteringP2P":32.34,"TwentyNewsgroupsClustering":40.81}
|
120 |
{"index":178,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":40.74,"ArxivClusteringP2P":45.37,"ArxivClusteringS2S":36.52,"BiorxivClusteringP2P":36.52,"BiorxivClusteringS2S":31.98,"MedrxivClusteringP2P":31.71,"MedrxivClusteringS2S":28.8,"RedditClustering":49.71,"RedditClusteringP2P":55.07,"StackExchangeClustering":59.42,"StackExchangeClusteringP2P":31.7,"TwentyNewsgroupsClustering":41.29}
|
121 |
{"index":108,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":40.71,"ArxivClusteringP2P":44.95,"ArxivClusteringS2S":34.12,"BiorxivClusteringP2P":35.27,"BiorxivClusteringS2S":28.41,"MedrxivClusteringP2P":31.14,"MedrxivClusteringS2S":27.01,"RedditClustering":51.86,"RedditClusteringP2P":61.81,"StackExchangeClustering":61.24,"StackExchangeClusteringP2P":33.81,"TwentyNewsgroupsClustering":38.14}
|
|
|
136 |
{"index":81,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.54,"ArxivClusteringP2P":42.86,"ArxivClusteringS2S":32.48,"BiorxivClusteringP2P":36.83,"BiorxivClusteringS2S":29.24,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":30.8,"RedditClustering":48.28,"RedditClusteringP2P":53.56,"StackExchangeClustering":55.07,"StackExchangeClusteringP2P":31.92,"TwentyNewsgroupsClustering":41.37}
|
137 |
{"index":127,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.48,"ArxivClusteringP2P":45.31,"ArxivClusteringS2S":35.45,"BiorxivClusteringP2P":38.38,"BiorxivClusteringS2S":31.09,"MedrxivClusteringP2P":33.35,"MedrxivClusteringS2S":29.79,"RedditClustering":44.12,"RedditClusteringP2P":48.68,"StackExchangeClustering":53.11,"StackExchangeClusteringP2P":33.91,"TwentyNewsgroupsClustering":41.13}
|
138 |
{"index":111,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.46,"ArxivClusteringP2P":44.6,"ArxivClusteringS2S":34.48,"BiorxivClusteringP2P":37.13,"BiorxivClusteringS2S":29.72,"MedrxivClusteringP2P":31.98,"MedrxivClusteringS2S":29.26,"RedditClustering":45.27,"RedditClusteringP2P":54.47,"StackExchangeClustering":53.11,"StackExchangeClusteringP2P":34.67,"TwentyNewsgroupsClustering":39.37}
|
139 |
+
{"index":223,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.29,"ArxivClusteringP2P":41.55,"ArxivClusteringS2S":32.19,"BiorxivClusteringP2P":35.17,"BiorxivClusteringS2S":28.89,"MedrxivClusteringP2P":32.19,"MedrxivClusteringS2S":28.78,"RedditClustering":48.28,"RedditClusteringP2P":56.03,"StackExchangeClustering":55.39,"StackExchangeClusteringP2P":33.57,"TwentyNewsgroupsClustering":40.2}
|
140 |
+
{"index":187,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":39.29,"ArxivClusteringP2P":41.55,"ArxivClusteringS2S":32.19,"BiorxivClusteringP2P":35.17,"BiorxivClusteringS2S":28.89,"MedrxivClusteringP2P":32.19,"MedrxivClusteringS2S":28.78,"RedditClustering":48.28,"RedditClusteringP2P":56.03,"StackExchangeClustering":55.39,"StackExchangeClusteringP2P":33.57,"TwentyNewsgroupsClustering":40.2}
|
141 |
{"index":112,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.18,"ArxivClusteringP2P":44.53,"ArxivClusteringS2S":33.25,"BiorxivClusteringP2P":36.11,"BiorxivClusteringS2S":28.06,"MedrxivClusteringP2P":31.56,"MedrxivClusteringS2S":28.13,"RedditClustering":45.46,"RedditClusteringP2P":55.16,"StackExchangeClustering":54.51,"StackExchangeClusteringP2P":34.07,"TwentyNewsgroupsClustering":40.19}
|
142 |
{"index":59,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.16,"ArxivClusteringP2P":41.76,"ArxivClusteringS2S":31.63,"BiorxivClusteringP2P":36.01,"BiorxivClusteringS2S":28.77,"MedrxivClusteringP2P":31.27,"MedrxivClusteringS2S":28.97,"RedditClustering":47.39,"RedditClusteringP2P":58.38,"StackExchangeClustering":52.47,"StackExchangeClusteringP2P":33.63,"TwentyNewsgroupsClustering":40.52}
|
143 |
{"index":177,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":39.11,"ArxivClusteringP2P":44.52,"ArxivClusteringS2S":34.45,"BiorxivClusteringP2P":35.25,"BiorxivClusteringS2S":30.71,"MedrxivClusteringP2P":29.43,"MedrxivClusteringS2S":28.87,"RedditClustering":44.52,"RedditClusteringP2P":53.61,"StackExchangeClustering":57.11,"StackExchangeClusteringP2P":31.91,"TwentyNewsgroupsClustering":39.8}
|
144 |
+
{"index":61,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
|
145 |
+
{"index":185,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
|
146 |
+
{"index":136,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
|
147 |
{"index":133,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":38.93,"ArxivClusteringP2P":44.59,"ArxivClusteringS2S":38.03,"BiorxivClusteringP2P":36.03,"BiorxivClusteringS2S":32.48,"MedrxivClusteringP2P":31.05,"MedrxivClusteringS2S":29.26,"RedditClustering":35.53,"RedditClusteringP2P":54.52,"StackExchangeClustering":55.13,"StackExchangeClusteringP2P":34.31,"TwentyNewsgroupsClustering":37.28}
|
148 |
{"index":110,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":38.86,"ArxivClusteringP2P":43.5,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.48,"BiorxivClusteringS2S":26.14,"MedrxivClusteringP2P":30.57,"MedrxivClusteringS2S":26.22,"RedditClustering":48.32,"RedditClusteringP2P":57.84,"StackExchangeClustering":57.49,"StackExchangeClusteringP2P":34.58,"TwentyNewsgroupsClustering":36.28}
|
149 |
{"index":245,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":38.63,"ArxivClusteringP2P":35.49,"ArxivClusteringS2S":27.18,"BiorxivClusteringP2P":27.66,"BiorxivClusteringS2S":23.25,"MedrxivClusteringP2P":27.57,"MedrxivClusteringS2S":25.13,"RedditClustering":56.13,"RedditClusteringP2P":58.53,"StackExchangeClustering":64.21,"StackExchangeClusteringP2P":33.01,"TwentyNewsgroupsClustering":46.72}
|
|
|
157 |
{"index":291,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":37.52,"ArxivClusteringP2P":41.49,"ArxivClusteringS2S":28.47,"BiorxivClusteringP2P":36.86,"BiorxivClusteringS2S":27.55,"MedrxivClusteringP2P":31.09,"MedrxivClusteringS2S":26.5,"RedditClustering":42.47,"RedditClusteringP2P":58.1,"StackExchangeClustering":53.52,"StackExchangeClusteringP2P":30.43,"TwentyNewsgroupsClustering":36.26}
|
158 |
{"index":72,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":37.45,"ArxivClusteringP2P":42.92,"ArxivClusteringS2S":35.2,"BiorxivClusteringP2P":35.02,"BiorxivClusteringS2S":27.21,"MedrxivClusteringP2P":30.15,"MedrxivClusteringS2S":26.96,"RedditClustering":38.67,"RedditClusteringP2P":53.42,"StackExchangeClustering":59.35,"StackExchangeClusteringP2P":31.47,"TwentyNewsgroupsClustering":31.54}
|
159 |
{"index":174,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.22,"ArxivClusteringP2P":39.22,"ArxivClusteringS2S":30.8,"BiorxivClusteringP2P":35.84,"BiorxivClusteringS2S":27.35,"MedrxivClusteringP2P":30.72,"MedrxivClusteringS2S":27.0,"RedditClustering":40.12,"RedditClusteringP2P":59.49,"StackExchangeClustering":53.32,"StackExchangeClusteringP2P":31.87,"TwentyNewsgroupsClustering":33.67}
|
160 |
+
{"index":183,"Rank":160,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":37.15,"ArxivClusteringP2P":40.51,"ArxivClusteringS2S":31.58,"BiorxivClusteringP2P":33.56,"BiorxivClusteringS2S":28.44,"MedrxivClusteringP2P":30.12,"MedrxivClusteringS2S":25.26,"RedditClustering":45.05,"RedditClusteringP2P":55.14,"StackExchangeClustering":45.24,"StackExchangeClusteringP2P":33.37,"TwentyNewsgroupsClustering":40.42}
|
161 |
{"index":251,"Rank":161,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.15,"ArxivClusteringP2P":38.33,"ArxivClusteringS2S":31.55,"BiorxivClusteringP2P":33.79,"BiorxivClusteringS2S":29.41,"MedrxivClusteringP2P":31.0,"MedrxivClusteringS2S":30.85,"RedditClustering":42.64,"RedditClusteringP2P":50.1,"StackExchangeClustering":49.29,"StackExchangeClusteringP2P":31.67,"TwentyNewsgroupsClustering":39.99}
|
162 |
{"index":64,"Rank":162,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.08,"ArxivClusteringP2P":39.22,"ArxivClusteringS2S":30.8,"BiorxivClusteringP2P":35.75,"BiorxivClusteringS2S":27.05,"MedrxivClusteringP2P":30.9,"MedrxivClusteringS2S":27.26,"RedditClustering":39.13,"RedditClusteringP2P":58.98,"StackExchangeClustering":53.52,"StackExchangeClusteringP2P":32.07,"TwentyNewsgroupsClustering":33.22}
|
163 |
{"index":89,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":36.98,"ArxivClusteringP2P":40.55,"ArxivClusteringS2S":32.49,"BiorxivClusteringP2P":33.59,"BiorxivClusteringS2S":29.13,"MedrxivClusteringP2P":30.33,"MedrxivClusteringS2S":28.02,"RedditClustering":42.17,"RedditClusteringP2P":48.02,"StackExchangeClustering":54.13,"StackExchangeClusteringP2P":31.12,"TwentyNewsgroupsClustering":37.2}
|
boards_data/en/data_tasks/PairClassification/default.jsonl
CHANGED
@@ -24,9 +24,9 @@
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|
24 |
{"index":201,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
25 |
{"index":149,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dopeba\/mxbai-embed-large-v1-Q6_K-GGUF\">mxbai-embed-large-v1-Q6_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
26 |
{"index":55,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.14,"SprintDuplicateQuestions":96.97,"TwitterSemEval2015":78.29,"TwitterURLCorpus":86.16}
|
27 |
-
{"index":
|
28 |
-
{"index":
|
29 |
-
{"index":
|
30 |
{"index":271,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.07,"SprintDuplicateQuestions":96.87,"TwitterSemEval2015":78.24,"TwitterURLCorpus":86.11}
|
31 |
{"index":219,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":86.91,"SprintDuplicateQuestions":95.94,"TwitterSemEval2015":78.73,"TwitterURLCorpus":86.05}
|
32 |
{"index":9,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":86.87,"SprintDuplicateQuestions":98.07,"TwitterSemEval2015":74.44,"TwitterURLCorpus":88.11}
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@@ -49,21 +49,21 @@
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|
49 |
{"index":167,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
50 |
{"index":53,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
51 |
{"index":166,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.94,"SprintDuplicateQuestions":95.42,"TwitterSemEval2015":76.1,"TwitterURLCorpus":86.31}
|
52 |
-
{"index":
|
53 |
-
{"index":
|
54 |
{"index":25,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":85.84,"SprintDuplicateQuestions":90.94,"TwitterSemEval2015":79.64,"TwitterURLCorpus":86.95}
|
55 |
{"index":32,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46}
|
56 |
{"index":17,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":85.79,"SprintDuplicateQuestions":92.82,"TwitterSemEval2015":77.96,"TwitterURLCorpus":86.59}
|
57 |
-
{"index":
|
58 |
-
{"index":
|
59 |
{"index":297,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":85.72,"SprintDuplicateQuestions":92.25,"TwitterSemEval2015":77.13,"TwitterURLCorpus":87.78}
|
60 |
-
{"index":
|
61 |
-
{"index":
|
62 |
{"index":278,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.41,"SprintDuplicateQuestions":95.02,"TwitterSemEval2015":75.24,"TwitterURLCorpus":85.96}
|
63 |
{"index":180,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":85.4,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":73.81,"TwitterURLCorpus":86.78}
|
64 |
-
{"index":
|
65 |
-
{"index":
|
66 |
-
{"index":
|
67 |
{"index":18,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.33,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":75.53,"TwitterURLCorpus":85.51}
|
68 |
{"index":246,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.32,"SprintDuplicateQuestions":95.05,"TwitterSemEval2015":76.03,"TwitterURLCorpus":84.89}
|
69 |
{"index":253,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.18,"SprintDuplicateQuestions":91.23,"TwitterSemEval2015":78.25,"TwitterURLCorpus":86.05}
|
@@ -82,22 +82,22 @@
|
|
82 |
{"index":44,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.97,"SprintDuplicateQuestions":91.24,"TwitterSemEval2015":77.21,"TwitterURLCorpus":86.45}
|
83 |
{"index":26,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.92,"SprintDuplicateQuestions":96.67,"TwitterSemEval2015":73.24,"TwitterURLCorpus":84.84}
|
84 |
{"index":295,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":84.89,"SprintDuplicateQuestions":92.17,"TwitterSemEval2015":75.28,"TwitterURLCorpus":87.22}
|
85 |
-
{"index":183,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":
|
86 |
{"index":172,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":84.75,"SprintDuplicateQuestions":93.14,"TwitterSemEval2015":75.28,"TwitterURLCorpus":85.83}
|
87 |
{"index":54,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/multilingual-e5-large-GGUF\">multilingual-e5-large-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.75,"SprintDuplicateQuestions":93.13,"TwitterSemEval2015":75.28,"TwitterURLCorpus":85.83}
|
88 |
{"index":205,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.69,"SprintDuplicateQuestions":95.5,"TwitterSemEval2015":72.92,"TwitterURLCorpus":85.66}
|
89 |
{"index":280,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-quant\">gte-large-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.69,"SprintDuplicateQuestions":95.63,"TwitterSemEval2015":72.87,"TwitterURLCorpus":85.58}
|
90 |
{"index":129,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.68,"SprintDuplicateQuestions":95.79,"TwitterSemEval2015":72.95,"TwitterURLCorpus":85.3}
|
91 |
{"index":170,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.67,"SprintDuplicateQuestions":94.88,"TwitterSemEval2015":73.34,"TwitterURLCorpus":85.79}
|
92 |
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{"index":
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93 |
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{"index":
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94 |
{"index":98,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
95 |
-
{"index":
|
96 |
{"index":215,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":92.91,"TwitterSemEval2015":74.3,"TwitterURLCorpus":86.57}
|
97 |
{"index":211,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":94.83,"TwitterSemEval2015":72.55,"TwitterURLCorpus":86.38}
|
98 |
{"index":263,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.57,"SprintDuplicateQuestions":95.71,"TwitterSemEval2015":72.47,"TwitterURLCorpus":85.52}
|
99 |
-
{"index":
|
100 |
-
{"index":
|
101 |
{"index":19,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.53,"SprintDuplicateQuestions":94.16,"TwitterSemEval2015":75.25,"TwitterURLCorpus":84.18}
|
102 |
{"index":134,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/biswa921\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.48,"SprintDuplicateQuestions":97.32,"TwitterSemEval2015":70.29,"TwitterURLCorpus":85.83}
|
103 |
{"index":188,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":84.44,"SprintDuplicateQuestions":95.12,"TwitterSemEval2015":72.15,"TwitterURLCorpus":86.05}
|
@@ -109,9 +109,9 @@
|
|
109 |
{"index":116,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/EminEmbed-multilingual-v1.0\">EminEmbed-multilingual-v1.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.94,"SprintDuplicateQuestions":94.23,"TwitterSemEval2015":70.85,"TwitterURLCorpus":86.73}
|
110 |
{"index":245,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.85,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":72.23,"TwitterURLCorpus":84.77}
|
111 |
{"index":212,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.67,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":69.68,"TwitterURLCorpus":85.41}
|
112 |
-
{"index":
|
113 |
-
{"index":
|
114 |
-
{"index":
|
115 |
{"index":281,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.58,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":70.34,"TwitterURLCorpus":85.72}
|
116 |
{"index":171,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.57,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48}
|
117 |
{"index":213,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"Average":83.54,"SprintDuplicateQuestions":91.45,"TwitterSemEval2015":73.23,"TwitterURLCorpus":85.93}
|
@@ -124,8 +124,8 @@
|
|
124 |
{"index":240,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.04,"SprintDuplicateQuestions":90.15,"TwitterSemEval2015":73.87,"TwitterURLCorpus":85.11}
|
125 |
{"index":182,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.04,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.3,"TwitterURLCorpus":85.33}
|
126 |
{"index":59,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.95,"SprintDuplicateQuestions":94.38,"TwitterSemEval2015":67.98,"TwitterURLCorpus":86.48}
|
127 |
-
{"index":
|
128 |
-
{"index":
|
129 |
{"index":112,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.81,"SprintDuplicateQuestions":95.78,"TwitterSemEval2015":67.76,"TwitterURLCorpus":84.89}
|
130 |
{"index":174,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.73,"SprintDuplicateQuestions":92.42,"TwitterSemEval2015":70.75,"TwitterURLCorpus":85.03}
|
131 |
{"index":73,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.69,"SprintDuplicateQuestions":95.35,"TwitterSemEval2015":67.97,"TwitterURLCorpus":84.75}
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@@ -139,8 +139,8 @@
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139 |
{"index":124,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/amazon\/Titan-text-embeddings-v2\">Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.14,"SprintDuplicateQuestions":92.92,"TwitterSemEval2015":67.8,"TwitterURLCorpus":85.71}
|
140 |
{"index":141,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"Average":82.11,"SprintDuplicateQuestions":93.23,"TwitterSemEval2015":69.6,"TwitterURLCorpus":83.49}
|
141 |
{"index":109,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.07,"SprintDuplicateQuestions":95.28,"TwitterSemEval2015":65.78,"TwitterURLCorpus":85.15}
|
142 |
-
{"index":
|
143 |
-
{"index":
|
144 |
{"index":88,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-msmarco-specb-bitfit\">SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":82.0,"SprintDuplicateQuestions":93.84,"TwitterSemEval2015":66.87,"TwitterURLCorpus":85.29}
|
145 |
{"index":209,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.93,"SprintDuplicateQuestions":94.59,"TwitterSemEval2015":67.01,"TwitterURLCorpus":84.2}
|
146 |
{"index":133,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":81.9,"SprintDuplicateQuestions":94.93,"TwitterSemEval2015":65.31,"TwitterURLCorpus":85.46}
|
@@ -152,7 +152,7 @@
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|
152 |
{"index":299,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":81.32,"SprintDuplicateQuestions":94.53,"TwitterSemEval2015":64.41,"TwitterURLCorpus":85.01}
|
153 |
{"index":106,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.07,"SprintDuplicateQuestions":95.21,"TwitterSemEval2015":63.28,"TwitterURLCorpus":84.72}
|
154 |
{"index":179,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":81.05,"SprintDuplicateQuestions":92.09,"TwitterSemEval2015":65.96,"TwitterURLCorpus":85.11}
|
155 |
-
{"index":144,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":
|
156 |
{"index":70,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":80.94,"SprintDuplicateQuestions":91.3,"TwitterSemEval2015":68.76,"TwitterURLCorpus":82.76}
|
157 |
{"index":148,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.86,"SprintDuplicateQuestions":93.84,"TwitterSemEval2015":64.72,"TwitterURLCorpus":84.01}
|
158 |
{"index":252,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":80.81,"SprintDuplicateQuestions":90.55,"TwitterSemEval2015":66.75,"TwitterURLCorpus":85.14}
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|
24 |
{"index":201,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
25 |
{"index":149,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dopeba\/mxbai-embed-large-v1-Q6_K-GGUF\">mxbai-embed-large-v1-Q6_K-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23}
|
26 |
{"index":55,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.14,"SprintDuplicateQuestions":96.97,"TwitterSemEval2015":78.29,"TwitterURLCorpus":86.16}
|
27 |
+
{"index":23,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6}
|
28 |
+
{"index":229,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6}
|
29 |
+
{"index":228,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.12,"SprintDuplicateQuestions":96.73,"TwitterSemEval2015":79.04,"TwitterURLCorpus":85.6}
|
30 |
{"index":271,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.07,"SprintDuplicateQuestions":96.87,"TwitterSemEval2015":78.24,"TwitterURLCorpus":86.11}
|
31 |
{"index":219,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":86.91,"SprintDuplicateQuestions":95.94,"TwitterSemEval2015":78.73,"TwitterURLCorpus":86.05}
|
32 |
{"index":9,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":86.87,"SprintDuplicateQuestions":98.07,"TwitterSemEval2015":74.44,"TwitterURLCorpus":88.11}
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49 |
{"index":167,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
50 |
{"index":53,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
|
51 |
{"index":166,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.94,"SprintDuplicateQuestions":95.42,"TwitterSemEval2015":76.1,"TwitterURLCorpus":86.31}
|
52 |
+
{"index":161,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.89,"SprintDuplicateQuestions":93.07,"TwitterSemEval2015":77.42,"TwitterURLCorpus":87.18}
|
53 |
+
{"index":200,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":85.89,"SprintDuplicateQuestions":96.05,"TwitterSemEval2015":76.08,"TwitterURLCorpus":85.54}
|
54 |
{"index":25,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":85.84,"SprintDuplicateQuestions":90.94,"TwitterSemEval2015":79.64,"TwitterURLCorpus":86.95}
|
55 |
{"index":32,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46}
|
56 |
{"index":17,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":85.79,"SprintDuplicateQuestions":92.82,"TwitterSemEval2015":77.96,"TwitterURLCorpus":86.59}
|
57 |
+
{"index":153,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
|
58 |
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{"index":165,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
|
59 |
{"index":297,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":85.72,"SprintDuplicateQuestions":92.25,"TwitterSemEval2015":77.13,"TwitterURLCorpus":87.78}
|
60 |
+
{"index":119,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.61,"SprintDuplicateQuestions":92.57,"TwitterSemEval2015":77.07,"TwitterURLCorpus":87.19}
|
61 |
+
{"index":57,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":85.61,"SprintDuplicateQuestions":92.57,"TwitterSemEval2015":77.07,"TwitterURLCorpus":87.19}
|
62 |
{"index":278,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.41,"SprintDuplicateQuestions":95.02,"TwitterSemEval2015":75.24,"TwitterURLCorpus":85.96}
|
63 |
{"index":180,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":85.4,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":73.81,"TwitterURLCorpus":86.78}
|
64 |
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{"index":274,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.38,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":74.74,"TwitterURLCorpus":86.09}
|
65 |
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{"index":123,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aimlresearch2023\/jina-embeddings-v2-base-en-Q8_0-GGUF\">jina-embeddings-v2-base-en-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.38,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":74.74,"TwitterURLCorpus":86.09}
|
66 |
+
{"index":186,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.38,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":74.74,"TwitterURLCorpus":86.09}
|
67 |
{"index":18,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":85.33,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":75.53,"TwitterURLCorpus":85.51}
|
68 |
{"index":246,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.32,"SprintDuplicateQuestions":95.05,"TwitterSemEval2015":76.03,"TwitterURLCorpus":84.89}
|
69 |
{"index":253,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.18,"SprintDuplicateQuestions":91.23,"TwitterSemEval2015":78.25,"TwitterURLCorpus":86.05}
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82 |
{"index":44,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.97,"SprintDuplicateQuestions":91.24,"TwitterSemEval2015":77.21,"TwitterURLCorpus":86.45}
|
83 |
{"index":26,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.92,"SprintDuplicateQuestions":96.67,"TwitterSemEval2015":73.24,"TwitterURLCorpus":84.84}
|
84 |
{"index":295,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":84.89,"SprintDuplicateQuestions":92.17,"TwitterSemEval2015":75.28,"TwitterURLCorpus":87.22}
|
85 |
+
{"index":183,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.8,"SprintDuplicateQuestions":96.09,"TwitterSemEval2015":72.32,"TwitterURLCorpus":85.98}
|
86 |
{"index":172,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":84.75,"SprintDuplicateQuestions":93.14,"TwitterSemEval2015":75.28,"TwitterURLCorpus":85.83}
|
87 |
{"index":54,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/multilingual-e5-large-GGUF\">multilingual-e5-large-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.75,"SprintDuplicateQuestions":93.13,"TwitterSemEval2015":75.28,"TwitterURLCorpus":85.83}
|
88 |
{"index":205,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.69,"SprintDuplicateQuestions":95.5,"TwitterSemEval2015":72.92,"TwitterURLCorpus":85.66}
|
89 |
{"index":280,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-quant\">gte-large-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.69,"SprintDuplicateQuestions":95.63,"TwitterSemEval2015":72.87,"TwitterURLCorpus":85.58}
|
90 |
{"index":129,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.68,"SprintDuplicateQuestions":95.79,"TwitterSemEval2015":72.95,"TwitterURLCorpus":85.3}
|
91 |
{"index":170,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":84.67,"SprintDuplicateQuestions":94.88,"TwitterSemEval2015":73.34,"TwitterURLCorpus":85.79}
|
92 |
+
{"index":217,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
93 |
+
{"index":117,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
94 |
{"index":98,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
95 |
+
{"index":285,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.61,"SprintDuplicateQuestions":92.9,"TwitterSemEval2015":74.27,"TwitterURLCorpus":86.65}
|
96 |
{"index":215,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":92.91,"TwitterSemEval2015":74.3,"TwitterURLCorpus":86.57}
|
97 |
{"index":211,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.59,"SprintDuplicateQuestions":94.83,"TwitterSemEval2015":72.55,"TwitterURLCorpus":86.38}
|
98 |
{"index":263,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":84.57,"SprintDuplicateQuestions":95.71,"TwitterSemEval2015":72.47,"TwitterURLCorpus":85.52}
|
99 |
+
{"index":223,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.56,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":71.62,"TwitterURLCorpus":86.44}
|
100 |
+
{"index":187,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":84.56,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":71.62,"TwitterURLCorpus":86.44}
|
101 |
{"index":19,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.53,"SprintDuplicateQuestions":94.16,"TwitterSemEval2015":75.25,"TwitterURLCorpus":84.18}
|
102 |
{"index":134,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/biswa921\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":84.48,"SprintDuplicateQuestions":97.32,"TwitterSemEval2015":70.29,"TwitterURLCorpus":85.83}
|
103 |
{"index":188,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":84.44,"SprintDuplicateQuestions":95.12,"TwitterSemEval2015":72.15,"TwitterURLCorpus":86.05}
|
|
|
109 |
{"index":116,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/EminEmbed-multilingual-v1.0\">EminEmbed-multilingual-v1.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.94,"SprintDuplicateQuestions":94.23,"TwitterSemEval2015":70.85,"TwitterURLCorpus":86.73}
|
110 |
{"index":245,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.85,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":72.23,"TwitterURLCorpus":84.77}
|
111 |
{"index":212,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.67,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":69.68,"TwitterURLCorpus":85.41}
|
112 |
+
{"index":136,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
113 |
+
{"index":185,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
114 |
+
{"index":61,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
|
115 |
{"index":281,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.58,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":70.34,"TwitterURLCorpus":85.72}
|
116 |
{"index":171,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.57,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48}
|
117 |
{"index":213,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"Average":83.54,"SprintDuplicateQuestions":91.45,"TwitterSemEval2015":73.23,"TwitterURLCorpus":85.93}
|
|
|
124 |
{"index":240,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":83.04,"SprintDuplicateQuestions":90.15,"TwitterSemEval2015":73.87,"TwitterURLCorpus":85.11}
|
125 |
{"index":182,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.04,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.3,"TwitterURLCorpus":85.33}
|
126 |
{"index":59,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.95,"SprintDuplicateQuestions":94.38,"TwitterSemEval2015":67.98,"TwitterURLCorpus":86.48}
|
127 |
+
{"index":113,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.83,"SprintDuplicateQuestions":95.48,"TwitterSemEval2015":68.17,"TwitterURLCorpus":84.84}
|
128 |
+
{"index":272,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.83,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":71.07,"TwitterURLCorpus":84.4}
|
129 |
{"index":112,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.81,"SprintDuplicateQuestions":95.78,"TwitterSemEval2015":67.76,"TwitterURLCorpus":84.89}
|
130 |
{"index":174,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.73,"SprintDuplicateQuestions":92.42,"TwitterSemEval2015":70.75,"TwitterURLCorpus":85.03}
|
131 |
{"index":73,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.69,"SprintDuplicateQuestions":95.35,"TwitterSemEval2015":67.97,"TwitterURLCorpus":84.75}
|
|
|
139 |
{"index":124,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/amazon\/Titan-text-embeddings-v2\">Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.14,"SprintDuplicateQuestions":92.92,"TwitterSemEval2015":67.8,"TwitterURLCorpus":85.71}
|
140 |
{"index":141,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"Average":82.11,"SprintDuplicateQuestions":93.23,"TwitterSemEval2015":69.6,"TwitterURLCorpus":83.49}
|
141 |
{"index":109,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.07,"SprintDuplicateQuestions":95.28,"TwitterSemEval2015":65.78,"TwitterURLCorpus":85.15}
|
142 |
+
{"index":107,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.02,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":66.17,"TwitterURLCorpus":85.21}
|
143 |
+
{"index":279,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.02,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":66.17,"TwitterURLCorpus":85.21}
|
144 |
{"index":88,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-msmarco-specb-bitfit\">SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":82.0,"SprintDuplicateQuestions":93.84,"TwitterSemEval2015":66.87,"TwitterURLCorpus":85.29}
|
145 |
{"index":209,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.93,"SprintDuplicateQuestions":94.59,"TwitterSemEval2015":67.01,"TwitterURLCorpus":84.2}
|
146 |
{"index":133,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":81.9,"SprintDuplicateQuestions":94.93,"TwitterSemEval2015":65.31,"TwitterURLCorpus":85.46}
|
|
|
152 |
{"index":299,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":81.32,"SprintDuplicateQuestions":94.53,"TwitterSemEval2015":64.41,"TwitterURLCorpus":85.01}
|
153 |
{"index":106,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.07,"SprintDuplicateQuestions":95.21,"TwitterSemEval2015":63.28,"TwitterURLCorpus":84.72}
|
154 |
{"index":179,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":81.05,"SprintDuplicateQuestions":92.09,"TwitterSemEval2015":65.96,"TwitterURLCorpus":85.11}
|
155 |
+
{"index":144,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.03,"SprintDuplicateQuestions":90.68,"TwitterSemEval2015":67.77,"TwitterURLCorpus":84.65}
|
156 |
{"index":70,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":80.94,"SprintDuplicateQuestions":91.3,"TwitterSemEval2015":68.76,"TwitterURLCorpus":82.76}
|
157 |
{"index":148,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.86,"SprintDuplicateQuestions":93.84,"TwitterSemEval2015":64.72,"TwitterURLCorpus":84.01}
|
158 |
{"index":252,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":80.81,"SprintDuplicateQuestions":90.55,"TwitterSemEval2015":66.75,"TwitterURLCorpus":85.14}
|
boards_data/en/data_tasks/Reranking/default.jsonl
CHANGED
@@ -16,8 +16,8 @@
|
|
16 |
{"index":128,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.05,"AskUbuntuDupQuestions":64.7,"MindSmallReranking":32.82,"SciDocsRR":87.8,"StackOverflowDupQuestions":54.88}
|
17 |
{"index":102,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.04,"AskUbuntuDupQuestions":64.46,"MindSmallReranking":32.27,"SciDocsRR":87.56,"StackOverflowDupQuestions":55.85}
|
18 |
{"index":193,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.04,"AskUbuntuDupQuestions":64.46,"MindSmallReranking":32.27,"SciDocsRR":87.56,"StackOverflowDupQuestions":55.85}
|
19 |
-
{"index":
|
20 |
-
{"index":
|
21 |
{"index":23,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
22 |
{"index":271,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.0,"AskUbuntuDupQuestions":64.42,"MindSmallReranking":32.78,"SciDocsRR":87.61,"StackOverflowDupQuestions":55.19}
|
23 |
{"index":16,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":59.98,"AskUbuntuDupQuestions":64.55,"MindSmallReranking":33.94,"SciDocsRR":86.52,"StackOverflowDupQuestions":54.91}
|
@@ -69,19 +69,19 @@
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|
69 |
{"index":205,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":57.18,"AskUbuntuDupQuestions":60.23,"MindSmallReranking":31.71,"SciDocsRR":84.46,"StackOverflowDupQuestions":52.32}
|
70 |
{"index":192,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":57.12,"AskUbuntuDupQuestions":62.73,"MindSmallReranking":30.81,"SciDocsRR":85.11,"StackOverflowDupQuestions":49.85}
|
71 |
{"index":123,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aimlresearch2023\/jina-embeddings-v2-base-en-Q8_0-GGUF\">jina-embeddings-v2-base-en-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":56.98,"AskUbuntuDupQuestions":62.25,"MindSmallReranking":30.54,"SciDocsRR":83.1,"StackOverflowDupQuestions":52.05}
|
72 |
-
{"index":
|
73 |
-
{"index":
|
74 |
{"index":298,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":56.72,"AskUbuntuDupQuestions":62.18,"MindSmallReranking":29.93,"SciDocsRR":83.25,"StackOverflowDupQuestions":51.53}
|
75 |
{"index":248,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.66,"AskUbuntuDupQuestions":63.23,"MindSmallReranking":31.93,"SciDocsRR":77.96,"StackOverflowDupQuestions":53.5}
|
76 |
-
{"index":
|
77 |
-
{"index":
|
78 |
{"index":88,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-msmarco-specb-bitfit\">SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":56.56,"AskUbuntuDupQuestions":61.63,"MindSmallReranking":32.29,"SciDocsRR":80.79,"StackOverflowDupQuestions":51.53}
|
79 |
{"index":166,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":56.53,"AskUbuntuDupQuestions":60.07,"MindSmallReranking":30.78,"SciDocsRR":83.94,"StackOverflowDupQuestions":51.33}
|
80 |
{"index":256,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.42,"AskUbuntuDupQuestions":66.16,"MindSmallReranking":30.6,"SciDocsRR":76.09,"StackOverflowDupQuestions":52.85}
|
81 |
-
{"index":183,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":
|
82 |
{"index":295,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":56.32,"AskUbuntuDupQuestions":62.05,"MindSmallReranking":31.45,"SciDocsRR":81.22,"StackOverflowDupQuestions":50.54}
|
83 |
-
{"index":
|
84 |
-
{"index":
|
85 |
{"index":160,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.2,"AskUbuntuDupQuestions":63.17,"MindSmallReranking":31.82,"SciDocsRR":78.83,"StackOverflowDupQuestions":50.99}
|
86 |
{"index":31,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":56.09,"AskUbuntuDupQuestions":60.11,"MindSmallReranking":31.87,"SciDocsRR":81.62,"StackOverflowDupQuestions":50.76}
|
87 |
{"index":247,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.96,"AskUbuntuDupQuestions":63.08,"MindSmallReranking":31.5,"SciDocsRR":76.49,"StackOverflowDupQuestions":52.79}
|
@@ -92,9 +92,9 @@
|
|
92 |
{"index":165,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.91,"AskUbuntuDupQuestions":58.98,"MindSmallReranking":31.29,"SciDocsRR":83.02,"StackOverflowDupQuestions":50.34}
|
93 |
{"index":54,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/multilingual-e5-large-GGUF\">multilingual-e5-large-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.86,"AskUbuntuDupQuestions":60.28,"MindSmallReranking":31.42,"SciDocsRR":82.04,"StackOverflowDupQuestions":49.72}
|
94 |
{"index":182,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.84,"AskUbuntuDupQuestions":62.4,"MindSmallReranking":31.56,"SciDocsRR":79.31,"StackOverflowDupQuestions":50.11}
|
95 |
-
{"index":
|
96 |
-
{"index":
|
97 |
-
{"index":
|
98 |
{"index":217,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
99 |
{"index":113,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.77,"AskUbuntuDupQuestions":59.83,"MindSmallReranking":32.06,"SciDocsRR":81.54,"StackOverflowDupQuestions":49.65}
|
100 |
{"index":116,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/EminEmbed-multilingual-v1.0\">EminEmbed-multilingual-v1.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.74,"AskUbuntuDupQuestions":59.79,"MindSmallReranking":32.08,"SciDocsRR":81.58,"StackOverflowDupQuestions":49.51}
|
@@ -112,8 +112,8 @@
|
|
112 |
{"index":71,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":55.38,"AskUbuntuDupQuestions":60.71,"MindSmallReranking":31.96,"SciDocsRR":79.23,"StackOverflowDupQuestions":49.61}
|
113 |
{"index":246,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.36,"AskUbuntuDupQuestions":61.64,"MindSmallReranking":31.84,"SciDocsRR":76.39,"StackOverflowDupQuestions":51.58}
|
114 |
{"index":74,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Ivysaur\">Ivysaur<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.34,"AskUbuntuDupQuestions":59.7,"MindSmallReranking":31.78,"SciDocsRR":80.04,"StackOverflowDupQuestions":49.83}
|
115 |
-
{"index":
|
116 |
-
{"index":
|
117 |
{"index":109,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.31,"AskUbuntuDupQuestions":61.15,"MindSmallReranking":30.6,"SciDocsRR":79.34,"StackOverflowDupQuestions":50.16}
|
118 |
{"index":141,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"Average":55.24,"AskUbuntuDupQuestions":60.35,"MindSmallReranking":30.98,"SciDocsRR":81.45,"StackOverflowDupQuestions":48.17}
|
119 |
{"index":214,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":256,"Max Tokens":8192,"Average":55.18,"AskUbuntuDupQuestions":61.34,"MindSmallReranking":30.04,"SciDocsRR":79.4,"StackOverflowDupQuestions":49.95}
|
@@ -125,9 +125,9 @@
|
|
125 |
{"index":255,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.71,"AskUbuntuDupQuestions":62.86,"MindSmallReranking":29.77,"SciDocsRR":75.16,"StackOverflowDupQuestions":51.05}
|
126 |
{"index":87,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":54.67,"AskUbuntuDupQuestions":59.63,"MindSmallReranking":31.72,"SciDocsRR":77.72,"StackOverflowDupQuestions":49.61}
|
127 |
{"index":61,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
|
128 |
-
{"index":
|
129 |
-
{"index":
|
130 |
-
{"index":144,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":
|
131 |
{"index":148,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":54.58,"AskUbuntuDupQuestions":63.09,"MindSmallReranking":30.89,"SciDocsRR":74.28,"StackOverflowDupQuestions":50.06}
|
132 |
{"index":213,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"Average":54.56,"AskUbuntuDupQuestions":61.16,"MindSmallReranking":30.02,"SciDocsRR":78.05,"StackOverflowDupQuestions":49.0}
|
133 |
{"index":278,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.46,"AskUbuntuDupQuestions":57.69,"MindSmallReranking":30.32,"SciDocsRR":79.91,"StackOverflowDupQuestions":49.93}
|
@@ -136,8 +136,8 @@
|
|
136 |
{"index":170,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":54.32,"AskUbuntuDupQuestions":58.11,"MindSmallReranking":30.1,"SciDocsRR":79.16,"StackOverflowDupQuestions":49.93}
|
137 |
{"index":112,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":54.29,"AskUbuntuDupQuestions":58.08,"MindSmallReranking":31.07,"SciDocsRR":78.57,"StackOverflowDupQuestions":49.43}
|
138 |
{"index":272,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.29,"AskUbuntuDupQuestions":57.59,"MindSmallReranking":31.29,"SciDocsRR":82.14,"StackOverflowDupQuestions":46.13}
|
139 |
-
{"index":
|
140 |
-
{"index":
|
141 |
{"index":245,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.23,"AskUbuntuDupQuestions":60.86,"MindSmallReranking":31.33,"SciDocsRR":73.71,"StackOverflowDupQuestions":51.01}
|
142 |
{"index":209,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.14,"AskUbuntuDupQuestions":56.97,"MindSmallReranking":31.38,"SciDocsRR":79.46,"StackOverflowDupQuestions":48.75}
|
143 |
{"index":84,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":54.0,"AskUbuntuDupQuestions":58.13,"MindSmallReranking":31.34,"SciDocsRR":77.21,"StackOverflowDupQuestions":49.32}
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|
16 |
{"index":128,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.05,"AskUbuntuDupQuestions":64.7,"MindSmallReranking":32.82,"SciDocsRR":87.8,"StackOverflowDupQuestions":54.88}
|
17 |
{"index":102,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.04,"AskUbuntuDupQuestions":64.46,"MindSmallReranking":32.27,"SciDocsRR":87.56,"StackOverflowDupQuestions":55.85}
|
18 |
{"index":193,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.04,"AskUbuntuDupQuestions":64.46,"MindSmallReranking":32.27,"SciDocsRR":87.56,"StackOverflowDupQuestions":55.85}
|
19 |
+
{"index":228,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
20 |
+
{"index":229,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
21 |
{"index":23,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.03,"AskUbuntuDupQuestions":64.47,"MindSmallReranking":32.06,"SciDocsRR":87.63,"StackOverflowDupQuestions":55.95}
|
22 |
{"index":271,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":60.0,"AskUbuntuDupQuestions":64.42,"MindSmallReranking":32.78,"SciDocsRR":87.61,"StackOverflowDupQuestions":55.19}
|
23 |
{"index":16,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":59.98,"AskUbuntuDupQuestions":64.55,"MindSmallReranking":33.94,"SciDocsRR":86.52,"StackOverflowDupQuestions":54.91}
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69 |
{"index":205,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":57.18,"AskUbuntuDupQuestions":60.23,"MindSmallReranking":31.71,"SciDocsRR":84.46,"StackOverflowDupQuestions":52.32}
|
70 |
{"index":192,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":57.12,"AskUbuntuDupQuestions":62.73,"MindSmallReranking":30.81,"SciDocsRR":85.11,"StackOverflowDupQuestions":49.85}
|
71 |
{"index":123,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aimlresearch2023\/jina-embeddings-v2-base-en-Q8_0-GGUF\">jina-embeddings-v2-base-en-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":56.98,"AskUbuntuDupQuestions":62.25,"MindSmallReranking":30.54,"SciDocsRR":83.1,"StackOverflowDupQuestions":52.05}
|
72 |
+
{"index":274,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":56.98,"AskUbuntuDupQuestions":62.25,"MindSmallReranking":30.54,"SciDocsRR":83.1,"StackOverflowDupQuestions":52.05}
|
73 |
+
{"index":186,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":56.98,"AskUbuntuDupQuestions":62.25,"MindSmallReranking":30.54,"SciDocsRR":83.1,"StackOverflowDupQuestions":52.05}
|
74 |
{"index":298,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":56.72,"AskUbuntuDupQuestions":62.18,"MindSmallReranking":29.93,"SciDocsRR":83.25,"StackOverflowDupQuestions":51.53}
|
75 |
{"index":248,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.66,"AskUbuntuDupQuestions":63.23,"MindSmallReranking":31.93,"SciDocsRR":77.96,"StackOverflowDupQuestions":53.5}
|
76 |
+
{"index":167,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":56.61,"AskUbuntuDupQuestions":59.62,"MindSmallReranking":31.83,"SciDocsRR":84.31,"StackOverflowDupQuestions":50.68}
|
77 |
+
{"index":53,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":56.61,"AskUbuntuDupQuestions":59.62,"MindSmallReranking":31.83,"SciDocsRR":84.31,"StackOverflowDupQuestions":50.68}
|
78 |
{"index":88,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-msmarco-specb-bitfit\">SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":56.56,"AskUbuntuDupQuestions":61.63,"MindSmallReranking":32.29,"SciDocsRR":80.79,"StackOverflowDupQuestions":51.53}
|
79 |
{"index":166,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":56.53,"AskUbuntuDupQuestions":60.07,"MindSmallReranking":30.78,"SciDocsRR":83.94,"StackOverflowDupQuestions":51.33}
|
80 |
{"index":256,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.42,"AskUbuntuDupQuestions":66.16,"MindSmallReranking":30.6,"SciDocsRR":76.09,"StackOverflowDupQuestions":52.85}
|
81 |
+
{"index":183,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":56.42,"AskUbuntuDupQuestions":62.83,"MindSmallReranking":31.48,"SciDocsRR":80.97,"StackOverflowDupQuestions":50.38}
|
82 |
{"index":295,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":56.32,"AskUbuntuDupQuestions":62.05,"MindSmallReranking":31.45,"SciDocsRR":81.22,"StackOverflowDupQuestions":50.54}
|
83 |
+
{"index":119,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":56.26,"AskUbuntuDupQuestions":60.77,"MindSmallReranking":31.72,"SciDocsRR":84.26,"StackOverflowDupQuestions":48.3}
|
84 |
+
{"index":57,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":56.26,"AskUbuntuDupQuestions":60.77,"MindSmallReranking":31.72,"SciDocsRR":84.26,"StackOverflowDupQuestions":48.3}
|
85 |
{"index":160,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.2,"AskUbuntuDupQuestions":63.17,"MindSmallReranking":31.82,"SciDocsRR":78.83,"StackOverflowDupQuestions":50.99}
|
86 |
{"index":31,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":56.09,"AskUbuntuDupQuestions":60.11,"MindSmallReranking":31.87,"SciDocsRR":81.62,"StackOverflowDupQuestions":50.76}
|
87 |
{"index":247,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.96,"AskUbuntuDupQuestions":63.08,"MindSmallReranking":31.5,"SciDocsRR":76.49,"StackOverflowDupQuestions":52.79}
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|
92 |
{"index":165,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.91,"AskUbuntuDupQuestions":58.98,"MindSmallReranking":31.29,"SciDocsRR":83.02,"StackOverflowDupQuestions":50.34}
|
93 |
{"index":54,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/multilingual-e5-large-GGUF\">multilingual-e5-large-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.86,"AskUbuntuDupQuestions":60.28,"MindSmallReranking":31.42,"SciDocsRR":82.04,"StackOverflowDupQuestions":49.72}
|
94 |
{"index":182,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.84,"AskUbuntuDupQuestions":62.4,"MindSmallReranking":31.56,"SciDocsRR":79.31,"StackOverflowDupQuestions":50.11}
|
95 |
+
{"index":285,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
96 |
+
{"index":98,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
97 |
+
{"index":117,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
98 |
{"index":217,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
|
99 |
{"index":113,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.77,"AskUbuntuDupQuestions":59.83,"MindSmallReranking":32.06,"SciDocsRR":81.54,"StackOverflowDupQuestions":49.65}
|
100 |
{"index":116,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/EminEmbed-multilingual-v1.0\">EminEmbed-multilingual-v1.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.74,"AskUbuntuDupQuestions":59.79,"MindSmallReranking":32.08,"SciDocsRR":81.58,"StackOverflowDupQuestions":49.51}
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|
|
112 |
{"index":71,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average":55.38,"AskUbuntuDupQuestions":60.71,"MindSmallReranking":31.96,"SciDocsRR":79.23,"StackOverflowDupQuestions":49.61}
|
113 |
{"index":246,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.36,"AskUbuntuDupQuestions":61.64,"MindSmallReranking":31.84,"SciDocsRR":76.39,"StackOverflowDupQuestions":51.58}
|
114 |
{"index":74,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Ivysaur\">Ivysaur<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.34,"AskUbuntuDupQuestions":59.7,"MindSmallReranking":31.78,"SciDocsRR":80.04,"StackOverflowDupQuestions":49.83}
|
115 |
+
{"index":187,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":55.32,"AskUbuntuDupQuestions":61.19,"MindSmallReranking":30.61,"SciDocsRR":79.3,"StackOverflowDupQuestions":50.18}
|
116 |
+
{"index":223,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.32,"AskUbuntuDupQuestions":61.19,"MindSmallReranking":30.61,"SciDocsRR":79.3,"StackOverflowDupQuestions":50.18}
|
117 |
{"index":109,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":55.31,"AskUbuntuDupQuestions":61.15,"MindSmallReranking":30.6,"SciDocsRR":79.34,"StackOverflowDupQuestions":50.16}
|
118 |
{"index":141,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"Average":55.24,"AskUbuntuDupQuestions":60.35,"MindSmallReranking":30.98,"SciDocsRR":81.45,"StackOverflowDupQuestions":48.17}
|
119 |
{"index":214,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":256,"Max Tokens":8192,"Average":55.18,"AskUbuntuDupQuestions":61.34,"MindSmallReranking":30.04,"SciDocsRR":79.4,"StackOverflowDupQuestions":49.95}
|
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|
125 |
{"index":255,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.71,"AskUbuntuDupQuestions":62.86,"MindSmallReranking":29.77,"SciDocsRR":75.16,"StackOverflowDupQuestions":51.05}
|
126 |
{"index":87,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":54.67,"AskUbuntuDupQuestions":59.63,"MindSmallReranking":31.72,"SciDocsRR":77.72,"StackOverflowDupQuestions":49.61}
|
127 |
{"index":61,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
|
128 |
+
{"index":136,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
|
129 |
+
{"index":185,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":54.64,"AskUbuntuDupQuestions":60.56,"MindSmallReranking":30.4,"SciDocsRR":78.09,"StackOverflowDupQuestions":49.5}
|
130 |
+
{"index":144,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.63,"AskUbuntuDupQuestions":61.05,"MindSmallReranking":30.55,"SciDocsRR":79.83,"StackOverflowDupQuestions":47.1}
|
131 |
{"index":148,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":54.58,"AskUbuntuDupQuestions":63.09,"MindSmallReranking":30.89,"SciDocsRR":74.28,"StackOverflowDupQuestions":50.06}
|
132 |
{"index":213,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"Average":54.56,"AskUbuntuDupQuestions":61.16,"MindSmallReranking":30.02,"SciDocsRR":78.05,"StackOverflowDupQuestions":49.0}
|
133 |
{"index":278,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.46,"AskUbuntuDupQuestions":57.69,"MindSmallReranking":30.32,"SciDocsRR":79.91,"StackOverflowDupQuestions":49.93}
|
|
|
136 |
{"index":170,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":54.32,"AskUbuntuDupQuestions":58.11,"MindSmallReranking":30.1,"SciDocsRR":79.16,"StackOverflowDupQuestions":49.93}
|
137 |
{"index":112,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":54.29,"AskUbuntuDupQuestions":58.08,"MindSmallReranking":31.07,"SciDocsRR":78.57,"StackOverflowDupQuestions":49.43}
|
138 |
{"index":272,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.29,"AskUbuntuDupQuestions":57.59,"MindSmallReranking":31.29,"SciDocsRR":82.14,"StackOverflowDupQuestions":46.13}
|
139 |
+
{"index":177,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":54.28,"AskUbuntuDupQuestions":59.5,"MindSmallReranking":30.51,"SciDocsRR":78.11,"StackOverflowDupQuestions":49.0}
|
140 |
+
{"index":111,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":54.28,"AskUbuntuDupQuestions":58.09,"MindSmallReranking":31.29,"SciDocsRR":78.78,"StackOverflowDupQuestions":48.96}
|
141 |
{"index":245,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.23,"AskUbuntuDupQuestions":60.86,"MindSmallReranking":31.33,"SciDocsRR":73.71,"StackOverflowDupQuestions":51.01}
|
142 |
{"index":209,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.14,"AskUbuntuDupQuestions":56.97,"MindSmallReranking":31.38,"SciDocsRR":79.46,"StackOverflowDupQuestions":48.75}
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143 |
{"index":84,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":54.0,"AskUbuntuDupQuestions":58.13,"MindSmallReranking":31.34,"SciDocsRR":77.21,"StackOverflowDupQuestions":49.32}
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boards_data/en/data_tasks/Retrieval/default.jsonl
CHANGED
@@ -27,14 +27,14 @@
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|
27 |
{"index":8,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":55.58,"ArguAna":58.73,"ClimateFEVER":37.47,"CQADupstackRetrieval":45.11,"DBPedia":43.42,"FEVER":89.71,"FiQA2018":44.79,"HotpotQA":70.46,"MSMARCO":39.66,"NFCorpus":43.33,"NQ":60.65,"QuoraRetrieval":87.83,"SCIDOCS":23.19,"SciFact":73.64,"Touche2020":36.83,"TRECCOVID":78.92}
|
28 |
{"index":189,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":55.52,"ArguAna":58.52,"ClimateFEVER":34.56,"CQADupstackRetrieval":46.91,"DBPedia":46.83,"FEVER":91.22,"FiQA2018":54.51,"HotpotQA":76.41,"MSMARCO":43.25,"NFCorpus":39.55,"NQ":62.31,"QuoraRetrieval":89.34,"SCIDOCS":20.17,"SciFact":73.99,"Touche2020":18.52,"TRECCOVID":76.66}
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29 |
{"index":297,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":55.44,"ArguAna":58.05,"ClimateFEVER":30.27,"CQADupstackRetrieval":47.54,"DBPedia":44.76,"FEVER":87.94,"FiQA2018":55.0,"HotpotQA":71.58,"MSMARCO":40.24,"NFCorpus":42.07,"NQ":61.27,"QuoraRetrieval":89.05,"SCIDOCS":23.11,"SciFact":77.77,"Touche2020":23.35,"TRECCOVID":79.56}
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30 |
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{"index":
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{"index":
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32 |
{"index":44,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":55.09,"ArguAna":59.49,"ClimateFEVER":28.69,"CQADupstackRetrieval":47.63,"DBPedia":46.54,"FEVER":85.02,"FiQA2018":49.89,"HotpotQA":73.83,"MSMARCO":35.55,"NFCorpus":39.05,"NQ":63.87,"QuoraRetrieval":87.7,"SCIDOCS":23.06,"SciFact":77.02,"Touche2020":27.97,"TRECCOVID":81.07}
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33 |
{"index":32,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":55.0,"ArguAna":61.52,"ClimateFEVER":38.43,"CQADupstackRetrieval":41.53,"DBPedia":43.36,"FEVER":88.97,"FiQA2018":42.19,"HotpotQA":70.72,"MSMARCO":42.93,"NFCorpus":38.57,"NQ":61.56,"QuoraRetrieval":88.72,"SCIDOCS":20.31,"SciFact":71.83,"Touche2020":32.42,"TRECCOVID":81.92}
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34 |
{"index":106,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.91,"ArguAna":56.44,"ClimateFEVER":39.37,"CQADupstackRetrieval":43.81,"DBPedia":44.73,"FEVER":89.02,"FiQA2018":42.4,"HotpotQA":73.65,"MSMARCO":41.77,"NFCorpus":36.77,"NQ":62.43,"QuoraRetrieval":87.42,"SCIDOCS":21.1,"SciFact":73.55,"Touche2020":31.47,"TRECCOVID":79.65}
|
35 |
{"index":63,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/marqo-chimera-arctic-bge-m\">marqo-chimera-arctic-bge-m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.87,"ArguAna":59.06,"ClimateFEVER":36.7,"CQADupstackRetrieval":42.61,"DBPedia":44.26,"FEVER":88.4,"FiQA2018":44.35,"HotpotQA":74.83,"MSMARCO":43.29,"NFCorpus":38.21,"NQ":53.58,"QuoraRetrieval":88.97,"SCIDOCS":21.75,"SciFact":75.32,"Touche2020":30.69,"TRECCOVID":81.04}
|
36 |
-
{"index":
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37 |
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{"index":
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38 |
{"index":114,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.66,"ArguAna":66.15,"ClimateFEVER":38.53,"CQADupstackRetrieval":40.93,"DBPedia":44.89,"FEVER":88.24,"FiQA2018":44.84,"HotpotQA":73.13,"MSMARCO":41.4,"NFCorpus":38.65,"NQ":55.86,"QuoraRetrieval":89.02,"SCIDOCS":22.98,"SciFact":74.07,"Touche2020":24.93,"TRECCOVID":76.33}
|
39 |
{"index":65,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":54.6,"ArguAna":56.53,"ClimateFEVER":30.7,"CQADupstackRetrieval":45.94,"DBPedia":48.42,"FEVER":89.93,"FiQA2018":51.28,"HotpotQA":72.99,"MSMARCO":41.46,"NFCorpus":40.33,"NQ":61.24,"QuoraRetrieval":85.59,"SCIDOCS":21.05,"SciFact":77.3,"Touche2020":16.92,"TRECCOVID":79.25}
|
40 |
{"index":201,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.39,"ArguAna":66.02,"ClimateFEVER":36.09,"CQADupstackRetrieval":41.6,"DBPedia":44.51,"FEVER":86.91,"FiQA2018":45.27,"HotpotQA":72.03,"MSMARCO":41.26,"NFCorpus":38.64,"NQ":55.79,"QuoraRetrieval":88.98,"SCIDOCS":23.32,"SciFact":74.73,"Touche2020":25.2,"TRECCOVID":75.57}
|
@@ -107,7 +107,7 @@
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107 |
{"index":160,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.12,"ArguAna":52.03,"ClimateFEVER":27.95,"CQADupstackRetrieval":40.95,"DBPedia":33.34,"FEVER":71.85,"FiQA2018":39.18,"HotpotQA":54.19,"MSMARCO":37.76,"NFCorpus":31.59,"NQ":45.88,"QuoraRetrieval":88.19,"SCIDOCS":17.09,"SciFact":57.83,"Touche2020":20.37,"TRECCOVID":58.55}
|
108 |
{"index":192,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.99,"ArguAna":39.21,"ClimateFEVER":25.02,"CQADupstackRetrieval":38.91,"DBPedia":38.79,"FEVER":78.0,"FiQA2018":45.02,"HotpotQA":57.14,"MSMARCO":36.51,"NFCorpus":31.57,"NQ":52.83,"QuoraRetrieval":87.79,"SCIDOCS":15.62,"SciFact":69.32,"Touche2020":13.87,"TRECCOVID":45.22}
|
109 |
{"index":113,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":44.92,"ArguAna":53.64,"ClimateFEVER":24.71,"CQADupstackRetrieval":37.8,"DBPedia":35.97,"FEVER":70.11,"FiQA2018":31.42,"HotpotQA":55.7,"MSMARCO":34.51,"NFCorpus":32.04,"NQ":43.03,"QuoraRetrieval":87.04,"SCIDOCS":19.07,"SciFact":67.51,"Touche2020":22.08,"TRECCOVID":59.21}
|
110 |
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{"index":183,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":
|
111 |
{"index":245,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.67,"ArguAna":50.83,"ClimateFEVER":24.88,"CQADupstackRetrieval":34.55,"DBPedia":35.24,"FEVER":68.93,"FiQA2018":35.15,"HotpotQA":54.93,"MSMARCO":41.16,"NFCorpus":30.22,"NQ":50.47,"QuoraRetrieval":87.98,"SCIDOCS":14.0,"SciFact":59.74,"Touche2020":25.89,"TRECCOVID":56.05}
|
112 |
{"index":84,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":44.49,"ArguAna":49.68,"ClimateFEVER":26.6,"CQADupstackRetrieval":33.33,"DBPedia":31.51,"FEVER":68.12,"FiQA2018":29.99,"HotpotQA":49.93,"MSMARCO":36.05,"NFCorpus":32.08,"NQ":42.94,"QuoraRetrieval":85.28,"SCIDOCS":16.18,"SciFact":68.29,"Touche2020":24.45,"TRECCOVID":72.98}
|
113 |
{"index":182,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.03,"ArguAna":49.01,"ClimateFEVER":21.48,"CQADupstackRetrieval":37.48,"DBPedia":32.44,"FEVER":73.29,"FiQA2018":34.06,"HotpotQA":52.78,"MSMARCO":37.77,"NFCorpus":30.38,"NQ":47.88,"QuoraRetrieval":87.63,"SCIDOCS":17.63,"SciFact":59.39,"Touche2020":18.59,"TRECCOVID":60.57}
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@@ -127,7 +127,7 @@
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|
127 |
{"index":12,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/xhluca\/bm25s\">bm25s<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.84,"ArguAna":49.28,"ClimateFEVER":13.62,"CQADupstackRetrieval":31.86,"DBPedia":29.91,"FEVER":48.09,"FiQA2018":25.14,"HotpotQA":56.91,"MSMARCO":21.89,"NFCorpus":32.08,"NQ":28.5,"QuoraRetrieval":80.42,"SCIDOCS":15.78,"SciFact":68.7,"Touche2020":33.05,"TRECCOVID":62.31}
|
128 |
{"index":68,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse\">LLM2Vec-Meta-Llama-3-unsupervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":39.19,"ArguAna":51.73,"ClimateFEVER":23.58,"CQADupstackRetrieval":32.4,"DBPedia":26.78,"FEVER":53.42,"FiQA2018":28.56,"HotpotQA":52.37,"MSMARCO":17.47,"NFCorpus":26.28,"NQ":37.65,"QuoraRetrieval":84.64,"SCIDOCS":10.39,"SciFact":66.36,"Touche2020":12.82,"TRECCOVID":63.34}
|
129 |
{"index":184,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-s-en-v1\">jina-embedding-s-en-v1<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":512,"Max Tokens":512,"Average":38.91,"ArguAna":43.57,"ClimateFEVER":17.25,"CQADupstackRetrieval":33.74,"DBPedia":28.28,"FEVER":69.12,"FiQA2018":25.19,"HotpotQA":47.48,"MSMARCO":31.8,"NFCorpus":25.96,"NQ":38.89,"QuoraRetrieval":85.69,"SCIDOCS":15.29,"SciFact":52.4,"Touche2020":16.67,"TRECCOVID":52.3}
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130 |
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{"index":144,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":
|
131 |
{"index":255,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":38.47,"ArguAna":39.4,"ClimateFEVER":10.61,"CQADupstackRetrieval":40.78,"DBPedia":33.65,"FEVER":36.12,"FiQA2018":44.71,"HotpotQA":37.17,"MSMARCO":25.17,"NFCorpus":33.18,"NQ":46.29,"QuoraRetrieval":85.85,"SCIDOCS":15.97,"SciFact":50.91,"Touche2020":22.51,"TRECCOVID":54.77}
|
132 |
{"index":70,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":38.05,"ArguAna":51.0,"ClimateFEVER":22.97,"CQADupstackRetrieval":33.37,"DBPedia":25.48,"FEVER":45.11,"FiQA2018":27.24,"HotpotQA":54.54,"MSMARCO":19.13,"NFCorpus":27.16,"NQ":34.16,"QuoraRetrieval":84.4,"SCIDOCS":15.35,"SciFact":68.68,"Touche2020":6.54,"TRECCOVID":55.67}
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133 |
{"index":73,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.94,"ArguAna":44.8,"ClimateFEVER":17.69,"CQADupstackRetrieval":38.2,"DBPedia":32.97,"FEVER":45.91,"FiQA2018":21.29,"HotpotQA":51.52,"MSMARCO":29.49,"NFCorpus":26.78,"NQ":32.6,"QuoraRetrieval":85.3,"SCIDOCS":15.31,"SciFact":63.23,"Touche2020":16.3,"TRECCOVID":47.77}
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27 |
{"index":8,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":55.58,"ArguAna":58.73,"ClimateFEVER":37.47,"CQADupstackRetrieval":45.11,"DBPedia":43.42,"FEVER":89.71,"FiQA2018":44.79,"HotpotQA":70.46,"MSMARCO":39.66,"NFCorpus":43.33,"NQ":60.65,"QuoraRetrieval":87.83,"SCIDOCS":23.19,"SciFact":73.64,"Touche2020":36.83,"TRECCOVID":78.92}
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28 |
{"index":189,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":55.52,"ArguAna":58.52,"ClimateFEVER":34.56,"CQADupstackRetrieval":46.91,"DBPedia":46.83,"FEVER":91.22,"FiQA2018":54.51,"HotpotQA":76.41,"MSMARCO":43.25,"NFCorpus":39.55,"NQ":62.31,"QuoraRetrieval":89.34,"SCIDOCS":20.17,"SciFact":73.99,"Touche2020":18.52,"TRECCOVID":76.66}
|
29 |
{"index":297,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":55.44,"ArguAna":58.05,"ClimateFEVER":30.27,"CQADupstackRetrieval":47.54,"DBPedia":44.76,"FEVER":87.94,"FiQA2018":55.0,"HotpotQA":71.58,"MSMARCO":40.24,"NFCorpus":42.07,"NQ":61.27,"QuoraRetrieval":89.05,"SCIDOCS":23.11,"SciFact":77.77,"Touche2020":23.35,"TRECCOVID":79.56}
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30 |
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{"index":202,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/msyukorai\/snowflake-arctic-embed-m-v1.5-Q4_K_M-GGUF\">snowflake-arctic-embed-m-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":55.14,"ArguAna":59.53,"ClimateFEVER":36.85,"CQADupstackRetrieval":44.99,"DBPedia":45.55,"FEVER":88.41,"FiQA2018":42.4,"HotpotQA":72.21,"MSMARCO":42.03,"NFCorpus":36.2,"NQ":62.46,"QuoraRetrieval":87.37,"SCIDOCS":21.49,"SciFact":71.59,"Touche2020":31.43,"TRECCOVID":84.61}
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31 |
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{"index":108,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":55.14,"ArguAna":59.53,"ClimateFEVER":36.85,"CQADupstackRetrieval":44.99,"DBPedia":45.55,"FEVER":88.41,"FiQA2018":42.4,"HotpotQA":72.21,"MSMARCO":42.03,"NFCorpus":36.2,"NQ":62.46,"QuoraRetrieval":87.37,"SCIDOCS":21.49,"SciFact":71.59,"Touche2020":31.43,"TRECCOVID":84.61}
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{"index":44,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":55.09,"ArguAna":59.49,"ClimateFEVER":28.69,"CQADupstackRetrieval":47.63,"DBPedia":46.54,"FEVER":85.02,"FiQA2018":49.89,"HotpotQA":73.83,"MSMARCO":35.55,"NFCorpus":39.05,"NQ":63.87,"QuoraRetrieval":87.7,"SCIDOCS":23.06,"SciFact":77.02,"Touche2020":27.97,"TRECCOVID":81.07}
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{"index":32,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":55.0,"ArguAna":61.52,"ClimateFEVER":38.43,"CQADupstackRetrieval":41.53,"DBPedia":43.36,"FEVER":88.97,"FiQA2018":42.19,"HotpotQA":70.72,"MSMARCO":42.93,"NFCorpus":38.57,"NQ":61.56,"QuoraRetrieval":88.72,"SCIDOCS":20.31,"SciFact":71.83,"Touche2020":32.42,"TRECCOVID":81.92}
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34 |
{"index":106,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":54.91,"ArguAna":56.44,"ClimateFEVER":39.37,"CQADupstackRetrieval":43.81,"DBPedia":44.73,"FEVER":89.02,"FiQA2018":42.4,"HotpotQA":73.65,"MSMARCO":41.77,"NFCorpus":36.77,"NQ":62.43,"QuoraRetrieval":87.42,"SCIDOCS":21.1,"SciFact":73.55,"Touche2020":31.47,"TRECCOVID":79.65}
|
35 |
{"index":63,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/marqo-chimera-arctic-bge-m\">marqo-chimera-arctic-bge-m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.87,"ArguAna":59.06,"ClimateFEVER":36.7,"CQADupstackRetrieval":42.61,"DBPedia":44.26,"FEVER":88.4,"FiQA2018":44.35,"HotpotQA":74.83,"MSMARCO":43.29,"NFCorpus":38.21,"NQ":53.58,"QuoraRetrieval":88.97,"SCIDOCS":21.75,"SciFact":75.32,"Touche2020":30.69,"TRECCOVID":81.04}
|
36 |
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{"index":279,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":54.83,"ArguAna":60.36,"ClimateFEVER":38.33,"CQADupstackRetrieval":44.21,"DBPedia":45.29,"FEVER":86.89,"FiQA2018":42.16,"HotpotQA":72.76,"MSMARCO":41.97,"NFCorpus":35.87,"NQ":62.34,"QuoraRetrieval":87.72,"SCIDOCS":20.47,"SciFact":69.96,"Touche2020":32.35,"TRECCOVID":81.7}
|
37 |
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{"index":107,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":54.83,"ArguAna":60.36,"ClimateFEVER":38.33,"CQADupstackRetrieval":44.21,"DBPedia":45.29,"FEVER":86.89,"FiQA2018":42.16,"HotpotQA":72.76,"MSMARCO":41.97,"NFCorpus":35.87,"NQ":62.34,"QuoraRetrieval":87.72,"SCIDOCS":20.47,"SciFact":69.96,"Touche2020":32.35,"TRECCOVID":81.7}
|
38 |
{"index":114,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.66,"ArguAna":66.15,"ClimateFEVER":38.53,"CQADupstackRetrieval":40.93,"DBPedia":44.89,"FEVER":88.24,"FiQA2018":44.84,"HotpotQA":73.13,"MSMARCO":41.4,"NFCorpus":38.65,"NQ":55.86,"QuoraRetrieval":89.02,"SCIDOCS":22.98,"SciFact":74.07,"Touche2020":24.93,"TRECCOVID":76.33}
|
39 |
{"index":65,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":54.6,"ArguAna":56.53,"ClimateFEVER":30.7,"CQADupstackRetrieval":45.94,"DBPedia":48.42,"FEVER":89.93,"FiQA2018":51.28,"HotpotQA":72.99,"MSMARCO":41.46,"NFCorpus":40.33,"NQ":61.24,"QuoraRetrieval":85.59,"SCIDOCS":21.05,"SciFact":77.3,"Touche2020":16.92,"TRECCOVID":79.25}
|
40 |
{"index":201,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-large-v1\">mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":54.39,"ArguAna":66.02,"ClimateFEVER":36.09,"CQADupstackRetrieval":41.6,"DBPedia":44.51,"FEVER":86.91,"FiQA2018":45.27,"HotpotQA":72.03,"MSMARCO":41.26,"NFCorpus":38.64,"NQ":55.79,"QuoraRetrieval":88.98,"SCIDOCS":23.32,"SciFact":74.73,"Touche2020":25.2,"TRECCOVID":75.57}
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|
107 |
{"index":160,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.12,"ArguAna":52.03,"ClimateFEVER":27.95,"CQADupstackRetrieval":40.95,"DBPedia":33.34,"FEVER":71.85,"FiQA2018":39.18,"HotpotQA":54.19,"MSMARCO":37.76,"NFCorpus":31.59,"NQ":45.88,"QuoraRetrieval":88.19,"SCIDOCS":17.09,"SciFact":57.83,"Touche2020":20.37,"TRECCOVID":58.55}
|
108 |
{"index":192,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.99,"ArguAna":39.21,"ClimateFEVER":25.02,"CQADupstackRetrieval":38.91,"DBPedia":38.79,"FEVER":78.0,"FiQA2018":45.02,"HotpotQA":57.14,"MSMARCO":36.51,"NFCorpus":31.57,"NQ":52.83,"QuoraRetrieval":87.79,"SCIDOCS":15.62,"SciFact":69.32,"Touche2020":13.87,"TRECCOVID":45.22}
|
109 |
{"index":113,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":44.92,"ArguAna":53.64,"ClimateFEVER":24.71,"CQADupstackRetrieval":37.8,"DBPedia":35.97,"FEVER":70.11,"FiQA2018":31.42,"HotpotQA":55.7,"MSMARCO":34.51,"NFCorpus":32.04,"NQ":43.03,"QuoraRetrieval":87.04,"SCIDOCS":19.07,"SciFact":67.51,"Touche2020":22.08,"TRECCOVID":59.21}
|
110 |
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{"index":183,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.81,"ArguAna":46.48,"ClimateFEVER":21.21,"CQADupstackRetrieval":37.96,"DBPedia":34.13,"FEVER":71.9,"FiQA2018":37.27,"HotpotQA":54.95,"MSMARCO":40.34,"NFCorpus":32.24,"NQ":51.4,"QuoraRetrieval":88.09,"SCIDOCS":18.45,"SciFact":59.76,"Touche2020":20.73,"TRECCOVID":57.25}
|
111 |
{"index":245,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.67,"ArguAna":50.83,"ClimateFEVER":24.88,"CQADupstackRetrieval":34.55,"DBPedia":35.24,"FEVER":68.93,"FiQA2018":35.15,"HotpotQA":54.93,"MSMARCO":41.16,"NFCorpus":30.22,"NQ":50.47,"QuoraRetrieval":87.98,"SCIDOCS":14.0,"SciFact":59.74,"Touche2020":25.89,"TRECCOVID":56.05}
|
112 |
{"index":84,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":44.49,"ArguAna":49.68,"ClimateFEVER":26.6,"CQADupstackRetrieval":33.33,"DBPedia":31.51,"FEVER":68.12,"FiQA2018":29.99,"HotpotQA":49.93,"MSMARCO":36.05,"NFCorpus":32.08,"NQ":42.94,"QuoraRetrieval":85.28,"SCIDOCS":16.18,"SciFact":68.29,"Touche2020":24.45,"TRECCOVID":72.98}
|
113 |
{"index":182,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.03,"ArguAna":49.01,"ClimateFEVER":21.48,"CQADupstackRetrieval":37.48,"DBPedia":32.44,"FEVER":73.29,"FiQA2018":34.06,"HotpotQA":52.78,"MSMARCO":37.77,"NFCorpus":30.38,"NQ":47.88,"QuoraRetrieval":87.63,"SCIDOCS":17.63,"SciFact":59.39,"Touche2020":18.59,"TRECCOVID":60.57}
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|
127 |
{"index":12,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/xhluca\/bm25s\">bm25s<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.84,"ArguAna":49.28,"ClimateFEVER":13.62,"CQADupstackRetrieval":31.86,"DBPedia":29.91,"FEVER":48.09,"FiQA2018":25.14,"HotpotQA":56.91,"MSMARCO":21.89,"NFCorpus":32.08,"NQ":28.5,"QuoraRetrieval":80.42,"SCIDOCS":15.78,"SciFact":68.7,"Touche2020":33.05,"TRECCOVID":62.31}
|
128 |
{"index":68,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse\">LLM2Vec-Meta-Llama-3-unsupervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":39.19,"ArguAna":51.73,"ClimateFEVER":23.58,"CQADupstackRetrieval":32.4,"DBPedia":26.78,"FEVER":53.42,"FiQA2018":28.56,"HotpotQA":52.37,"MSMARCO":17.47,"NFCorpus":26.28,"NQ":37.65,"QuoraRetrieval":84.64,"SCIDOCS":10.39,"SciFact":66.36,"Touche2020":12.82,"TRECCOVID":63.34}
|
129 |
{"index":184,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-s-en-v1\">jina-embedding-s-en-v1<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":512,"Max Tokens":512,"Average":38.91,"ArguAna":43.57,"ClimateFEVER":17.25,"CQADupstackRetrieval":33.74,"DBPedia":28.28,"FEVER":69.12,"FiQA2018":25.19,"HotpotQA":47.48,"MSMARCO":31.8,"NFCorpus":25.96,"NQ":38.89,"QuoraRetrieval":85.69,"SCIDOCS":15.29,"SciFact":52.4,"Touche2020":16.67,"TRECCOVID":52.3}
|
130 |
+
{"index":144,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":38.79,"ArguAna":52.03,"ClimateFEVER":21.82,"CQADupstackRetrieval":34.46,"DBPedia":26.51,"FEVER":56.32,"FiQA2018":30.59,"HotpotQA":42.09,"MSMARCO":27.68,"NFCorpus":26.43,"NQ":37.93,"QuoraRetrieval":85.56,"SCIDOCS":16.6,"SciFact":59.95,"Touche2020":18.85,"TRECCOVID":45.1}
|
131 |
{"index":255,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":38.47,"ArguAna":39.4,"ClimateFEVER":10.61,"CQADupstackRetrieval":40.78,"DBPedia":33.65,"FEVER":36.12,"FiQA2018":44.71,"HotpotQA":37.17,"MSMARCO":25.17,"NFCorpus":33.18,"NQ":46.29,"QuoraRetrieval":85.85,"SCIDOCS":15.97,"SciFact":50.91,"Touche2020":22.51,"TRECCOVID":54.77}
|
132 |
{"index":70,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":38.05,"ArguAna":51.0,"ClimateFEVER":22.97,"CQADupstackRetrieval":33.37,"DBPedia":25.48,"FEVER":45.11,"FiQA2018":27.24,"HotpotQA":54.54,"MSMARCO":19.13,"NFCorpus":27.16,"NQ":34.16,"QuoraRetrieval":84.4,"SCIDOCS":15.35,"SciFact":68.68,"Touche2020":6.54,"TRECCOVID":55.67}
|
133 |
{"index":73,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.94,"ArguAna":44.8,"ClimateFEVER":17.69,"CQADupstackRetrieval":38.2,"DBPedia":32.97,"FEVER":45.91,"FiQA2018":21.29,"HotpotQA":51.52,"MSMARCO":29.49,"NFCorpus":26.78,"NQ":32.6,"QuoraRetrieval":85.3,"SCIDOCS":15.31,"SciFact":63.23,"Touche2020":16.3,"TRECCOVID":47.77}
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boards_data/en/data_tasks/STS/default.jsonl
CHANGED
@@ -33,14 +33,14 @@
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|
33 |
{"index":223,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.49,"BIOSSES":83.05,"SICK-R":83.01,"STS12":81.62,"STS13":86.82,"STS14":83.56,"STS15":88.75,"STS16":86.03,"STS17 (en-en)":88.56,"STS22 (en)":65.62,"STSBenchmark":87.84}
|
34 |
{"index":43,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":83.35,"BIOSSES":86.32,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.14,"STS22 (en)":68.63,"STSBenchmark":85.64}
|
35 |
{"index":264,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.35,"BIOSSES":88.65,"SICK-R":79.81,"STS12":76.81,"STS13":88.11,"STS14":82.66,"STS15":88.93,"STS16":84.25,"STS17 (en-en)":88.47,"STS22 (en)":69.71,"STSBenchmark":86.07}
|
36 |
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{"index":
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37 |
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{"index":
|
38 |
{"index":44,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":83.26,"BIOSSES":87.34,"SICK-R":80.56,"STS12":73.69,"STS13":85.82,"STS14":82.05,"STS15":88.8,"STS16":86.2,"STS17 (en-en)":91.46,"STS22 (en)":69.21,"STSBenchmark":87.43}
|
39 |
{"index":34,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":83.15,"BIOSSES":85.01,"SICK-R":82.18,"STS12":77.62,"STS13":85.16,"STS14":80.02,"STS15":88.92,"STS16":86.92,"STS17 (en-en)":90.09,"STS22 (en)":66.81,"STSBenchmark":88.79}
|
40 |
{"index":161,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.15,"BIOSSES":84.39,"SICK-R":81.27,"STS12":76.28,"STS13":88.18,"STS14":81.92,"STS15":89.01,"STS16":85.49,"STS17 (en-en)":90.3,"STS22 (en)":67.74,"STSBenchmark":86.88}
|
41 |
-
{"index":
|
42 |
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{"index":
|
43 |
-
{"index":
|
44 |
{"index":162,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.06,"BIOSSES":84.15,"SICK-R":81.7,"STS12":75.32,"STS13":87.44,"STS14":81.87,"STS15":88.94,"STS16":85.38,"STS17 (en-en)":90.54,"STS22 (en)":68.65,"STSBenchmark":86.56}
|
45 |
{"index":17,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":83.04,"BIOSSES":81.37,"SICK-R":79.28,"STS12":79.55,"STS13":88.83,"STS14":83.87,"STS15":88.54,"STS16":86.49,"STS17 (en-en)":88.73,"STS22 (en)":66.88,"STSBenchmark":86.85}
|
46 |
{"index":129,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":83.03,"BIOSSES":86.99,"SICK-R":80.53,"STS12":75.57,"STS13":86.26,"STS14":82.3,"STS15":88.74,"STS16":85.27,"STS17 (en-en)":89.02,"STS22 (en)":68.51,"STSBenchmark":87.08}
|
@@ -55,14 +55,14 @@
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|
55 |
{"index":16,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":82.73,"BIOSSES":82.11,"SICK-R":80.49,"STS12":77.25,"STS13":87.79,"STS14":82.91,"STS15":88.45,"STS16":85.45,"STS17 (en-en)":90.33,"STS22 (en)":66.1,"STSBenchmark":86.38}
|
56 |
{"index":256,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.63,"BIOSSES":80.43,"SICK-R":80.47,"STS12":78.85,"STS13":88.94,"STS14":84.86,"STS15":89.32,"STS16":84.67,"STS17 (en-en)":89.46,"STS22 (en)":65.33,"STSBenchmark":84.01}
|
57 |
{"index":32,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":82.62,"BIOSSES":83.5,"SICK-R":81.27,"STS12":74.37,"STS13":85.2,"STS14":80.98,"STS15":89.23,"STS16":86.32,"STS17 (en-en)":90.34,"STS22 (en)":66.42,"STSBenchmark":88.55}
|
58 |
-
{"index":
|
59 |
-
{"index":
|
60 |
-
{"index":
|
61 |
{"index":189,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.56,"BIOSSES":86.54,"SICK-R":83.23,"STS12":76.13,"STS13":83.19,"STS14":80.6,"STS15":87.16,"STS16":85.16,"STS17 (en-en)":90.88,"STS22 (en)":67.04,"STSBenchmark":85.67}
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62 |
{"index":207,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.5,"BIOSSES":85.64,"SICK-R":80.74,"STS12":76.07,"STS13":86.81,"STS14":81.68,"STS15":88.75,"STS16":84.61,"STS17 (en-en)":89.75,"STS22 (en)":64.1,"STSBenchmark":86.88}
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63 |
{"index":15,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.42,"BIOSSES":81.12,"SICK-R":79.15,"STS12":76.52,"STS13":88.63,"STS14":83.32,"STS15":87.5,"STS16":86.39,"STS17 (en-en)":87.79,"STS22 (en)":66.4,"STSBenchmark":87.35}
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64 |
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{"index":
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65 |
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{"index":
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66 |
{"index":178,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":82.37,"BIOSSES":84.82,"SICK-R":80.85,"STS12":76.1,"STS13":85.49,"STS14":80.44,"STS15":87.75,"STS16":85.42,"STS17 (en-en)":89.95,"STS22 (en)":65.13,"STSBenchmark":87.71}
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67 |
{"index":263,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.3,"BIOSSES":87.64,"SICK-R":78.86,"STS12":75.71,"STS13":85.73,"STS14":81.51,"STS15":88.81,"STS16":83.82,"STS17 (en-en)":87.9,"STS22 (en)":67.33,"STSBenchmark":85.73}
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68 |
{"index":160,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.29,"BIOSSES":82.31,"SICK-R":80.26,"STS12":77.02,"STS13":86.58,"STS14":81.32,"STS15":88.19,"STS16":84.88,"STS17 (en-en)":89.46,"STS22 (en)":66.45,"STSBenchmark":86.43}
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@@ -71,13 +71,13 @@
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|
71 |
{"index":265,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.07,"BIOSSES":88.17,"SICK-R":77.93,"STS12":75.12,"STS13":85.09,"STS14":81.03,"STS15":88.32,"STS16":83.91,"STS17 (en-en)":87.59,"STS22 (en)":68.0,"STSBenchmark":85.57}
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72 |
{"index":210,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
|
73 |
{"index":166,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.06,"BIOSSES":84.73,"SICK-R":80.49,"STS12":75.93,"STS13":85.22,"STS14":80.54,"STS15":88.81,"STS16":85.28,"STS17 (en-en)":89.37,"STS22 (en)":62.99,"STSBenchmark":87.21}
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74 |
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{"index":
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75 |
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{"index":
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76 |
{"index":208,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.04,"BIOSSES":86.66,"SICK-R":79.44,"STS12":76.17,"STS13":84.15,"STS14":81.49,"STS15":88.11,"STS16":84.99,"STS17 (en-en)":87.98,"STS22 (en)":65.07,"STSBenchmark":86.31}
|
77 |
{"index":18,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.97,"BIOSSES":83.65,"SICK-R":79.37,"STS12":74.38,"STS13":84.71,"STS14":80.1,"STS15":87.16,"STS16":85.02,"STS17 (en-en)":90.64,"STS22 (en)":68.63,"STSBenchmark":86.04}
|
78 |
-
{"index":
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79 |
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{"index":
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80 |
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{"index":
|
81 |
{"index":217,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
82 |
{"index":59,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":81.93,"BIOSSES":83.99,"SICK-R":74.65,"STS12":79.39,"STS13":85.32,"STS14":83.9,"STS15":88.47,"STS16":84.44,"STS17 (en-en)":85.77,"STS22 (en)":67.24,"STSBenchmark":86.08}
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83 |
{"index":281,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.9,"BIOSSES":85.83,"SICK-R":79.0,"STS12":73.48,"STS13":86.14,"STS14":80.36,"STS15":88.53,"STS16":84.08,"STS17 (en-en)":89.42,"STS22 (en)":66.75,"STSBenchmark":85.45}
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@@ -97,20 +97,20 @@
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|
97 |
{"index":100,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":81.26,"BIOSSES":87.6,"SICK-R":77.01,"STS12":75.67,"STS13":82.4,"STS14":79.93,"STS15":85.82,"STS16":84.5,"STS17 (en-en)":88.93,"STS22 (en)":67.1,"STSBenchmark":83.6}
|
98 |
{"index":205,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.19,"BIOSSES":83.94,"SICK-R":78.64,"STS12":74.88,"STS13":83.64,"STS14":80.4,"STS15":88.01,"STS16":84.31,"STS17 (en-en)":88.3,"STS22 (en)":63.84,"STSBenchmark":85.93}
|
99 |
{"index":253,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.14,"BIOSSES":75.89,"SICK-R":80.18,"STS12":78.05,"STS13":85.85,"STS14":82.19,"STS15":87.46,"STS16":84.03,"STS17 (en-en)":89.57,"STS22 (en)":62.66,"STSBenchmark":85.52}
|
100 |
-
{"index":
|
101 |
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{"index":
|
102 |
{"index":296,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":81.04,"BIOSSES":84.87,"SICK-R":79.18,"STS12":71.98,"STS13":85.52,"STS14":80.5,"STS15":87.51,"STS16":84.48,"STS17 (en-en)":88.11,"STS22 (en)":65.92,"STSBenchmark":82.34}
|
103 |
{"index":295,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":80.97,"BIOSSES":86.35,"SICK-R":80.6,"STS12":69.8,"STS13":83.27,"STS14":76.09,"STS15":86.12,"STS16":85.96,"STS17 (en-en)":90.25,"STS22 (en)":68.12,"STSBenchmark":83.17}
|
104 |
-
{"index":
|
105 |
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{"index":
|
106 |
{"index":31,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.92,"BIOSSES":81.72,"SICK-R":79.65,"STS12":72.6,"STS13":82.88,"STS14":79.74,"STS15":86.98,"STS16":84.41,"STS17 (en-en)":89.22,"STS22 (en)":65.42,"STSBenchmark":86.58}
|
107 |
{"index":169,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.87,"BIOSSES":84.22,"SICK-R":78.9,"STS12":75.19,"STS13":81.8,"STS14":78.48,"STS15":87.49,"STS16":84.58,"STS17 (en-en)":87.94,"STS22 (en)":63.76,"STSBenchmark":86.36}
|
108 |
{"index":212,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.84,"BIOSSES":87.19,"SICK-R":74.19,"STS12":73.22,"STS13":84.77,"STS14":79.99,"STS15":87.27,"STS16":82.31,"STS17 (en-en)":89.54,"STS22 (en)":65.93,"STSBenchmark":83.96}
|
109 |
{"index":252,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":80.77,"BIOSSES":76.27,"SICK-R":79.62,"STS12":77.9,"STS13":85.11,"STS14":80.81,"STS15":87.48,"STS16":83.2,"STS17 (en-en)":86.99,"STS22 (en)":63.52,"STSBenchmark":86.82}
|
110 |
{"index":213,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"Average":80.74,"BIOSSES":80.19,"SICK-R":79.09,"STS12":77.49,"STS13":85.62,"STS14":80.5,"STS15":85.84,"STS16":83.9,"STS17 (en-en)":86.27,"STS22 (en)":64.24,"STSBenchmark":84.28}
|
111 |
{"index":127,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.72,"BIOSSES":81.26,"SICK-R":79.09,"STS12":75.04,"STS13":83.26,"STS14":78.62,"STS15":87.03,"STS16":83.01,"STS17 (en-en)":87.36,"STS22 (en)":68.11,"STSBenchmark":84.4}
|
112 |
-
{"index":
|
113 |
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{"index":
|
114 |
{"index":186,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.7,"BIOSSES":81.23,"SICK-R":79.65,"STS12":74.27,"STS13":84.18,"STS14":78.81,"STS15":87.55,"STS16":85.35,"STS17 (en-en)":88.88,"STS22 (en)":62.2,"STSBenchmark":84.84}
|
115 |
{"index":278,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.59,"BIOSSES":82.19,"SICK-R":79.25,"STS12":73.71,"STS13":82.32,"STS14":80.07,"STS15":87.21,"STS16":82.33,"STS17 (en-en)":87.58,"STS22 (en)":66.3,"STSBenchmark":84.92}
|
116 |
{"index":89,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":80.53,"BIOSSES":79.5,"SICK-R":79.59,"STS12":74.29,"STS13":85.35,"STS14":79.21,"STS15":85.52,"STS16":82.54,"STS17 (en-en)":90.44,"STS22 (en)":63.2,"STSBenchmark":85.67}
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@@ -121,7 +121,7 @@
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|
121 |
{"index":240,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":80.28,"BIOSSES":80.43,"SICK-R":80.59,"STS12":72.63,"STS13":83.48,"STS14":78.0,"STS15":85.66,"STS16":80.03,"STS17 (en-en)":90.6,"STS22 (en)":67.95,"STSBenchmark":83.42}
|
122 |
{"index":259,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-multilingual\">text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.24,"BIOSSES":66.16,"SICK-R":79.97,"STS12":80.91,"STS13":82.86,"STS14":87.36,"STS15":88.31,"STS16":81.61,"STS17 (en-en)":85.81,"STS22 (en)":62.99,"STSBenchmark":86.45}
|
123 |
{"index":211,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.22,"BIOSSES":85.37,"SICK-R":77.3,"STS12":77.97,"STS13":79.39,"STS14":78.17,"STS15":85.51,"STS16":84.95,"STS17 (en-en)":85.87,"STS22 (en)":64.28,"STSBenchmark":83.42}
|
124 |
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{"index":144,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":
|
125 |
{"index":33,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"Average":80.09,"BIOSSES":84.01,"SICK-R":77.04,"STS12":73.22,"STS13":79.5,"STS14":76.96,"STS15":86.43,"STS16":84.33,"STS17 (en-en)":88.67,"STS22 (en)":65.31,"STSBenchmark":85.46}
|
126 |
{"index":188,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":80.0,"BIOSSES":80.52,"SICK-R":76.72,"STS12":73.66,"STS13":83.3,"STS14":79.17,"STS15":87.3,"STS16":83.6,"STS17 (en-en)":88.23,"STS22 (en)":63.46,"STSBenchmark":84.04}
|
127 |
{"index":182,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":79.93,"BIOSSES":83.58,"SICK-R":79.14,"STS12":75.06,"STS13":80.86,"STS14":76.13,"STS15":85.55,"STS16":81.21,"STS17 (en-en)":88.98,"STS22 (en)":66.22,"STSBenchmark":82.57}
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|
|
33 |
{"index":223,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.49,"BIOSSES":83.05,"SICK-R":83.01,"STS12":81.62,"STS13":86.82,"STS14":83.56,"STS15":88.75,"STS16":86.03,"STS17 (en-en)":88.56,"STS22 (en)":65.62,"STSBenchmark":87.84}
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34 |
{"index":43,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":83.35,"BIOSSES":86.32,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.14,"STS22 (en)":68.63,"STSBenchmark":85.64}
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35 |
{"index":264,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.35,"BIOSSES":88.65,"SICK-R":79.81,"STS12":76.81,"STS13":88.11,"STS14":82.66,"STS15":88.93,"STS16":84.25,"STS17 (en-en)":88.47,"STS22 (en)":69.71,"STSBenchmark":86.07}
|
36 |
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{"index":193,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.34,"BIOSSES":85.81,"SICK-R":81.75,"STS12":78.51,"STS13":86.62,"STS14":83.06,"STS15":88.39,"STS16":86.82,"STS17 (en-en)":87.9,"STS22 (en)":66.76,"STSBenchmark":87.77}
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37 |
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{"index":102,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.34,"BIOSSES":85.81,"SICK-R":81.75,"STS12":78.51,"STS13":86.62,"STS14":83.06,"STS15":88.39,"STS16":86.82,"STS17 (en-en)":87.9,"STS22 (en)":66.76,"STSBenchmark":87.77}
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38 |
{"index":44,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":83.26,"BIOSSES":87.34,"SICK-R":80.56,"STS12":73.69,"STS13":85.82,"STS14":82.05,"STS15":88.8,"STS16":86.2,"STS17 (en-en)":91.46,"STS22 (en)":69.21,"STSBenchmark":87.43}
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39 |
{"index":34,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":83.15,"BIOSSES":85.01,"SICK-R":82.18,"STS12":77.62,"STS13":85.16,"STS14":80.02,"STS15":88.92,"STS16":86.92,"STS17 (en-en)":90.09,"STS22 (en)":66.81,"STSBenchmark":88.79}
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40 |
{"index":161,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.15,"BIOSSES":84.39,"SICK-R":81.27,"STS12":76.28,"STS13":88.18,"STS14":81.92,"STS15":89.01,"STS16":85.49,"STS17 (en-en)":90.3,"STS22 (en)":67.74,"STSBenchmark":86.88}
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41 |
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{"index":23,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
42 |
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{"index":228,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
43 |
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{"index":229,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
|
44 |
{"index":162,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.06,"BIOSSES":84.15,"SICK-R":81.7,"STS12":75.32,"STS13":87.44,"STS14":81.87,"STS15":88.94,"STS16":85.38,"STS17 (en-en)":90.54,"STS22 (en)":68.65,"STSBenchmark":86.56}
|
45 |
{"index":17,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":83.04,"BIOSSES":81.37,"SICK-R":79.28,"STS12":79.55,"STS13":88.83,"STS14":83.87,"STS15":88.54,"STS16":86.49,"STS17 (en-en)":88.73,"STS22 (en)":66.88,"STSBenchmark":86.85}
|
46 |
{"index":129,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":83.03,"BIOSSES":86.99,"SICK-R":80.53,"STS12":75.57,"STS13":86.26,"STS14":82.3,"STS15":88.74,"STS16":85.27,"STS17 (en-en)":89.02,"STS22 (en)":68.51,"STSBenchmark":87.08}
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|
55 |
{"index":16,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":82.73,"BIOSSES":82.11,"SICK-R":80.49,"STS12":77.25,"STS13":87.79,"STS14":82.91,"STS15":88.45,"STS16":85.45,"STS17 (en-en)":90.33,"STS22 (en)":66.1,"STSBenchmark":86.38}
|
56 |
{"index":256,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.63,"BIOSSES":80.43,"SICK-R":80.47,"STS12":78.85,"STS13":88.94,"STS14":84.86,"STS15":89.32,"STS16":84.67,"STS17 (en-en)":89.46,"STS22 (en)":65.33,"STSBenchmark":84.01}
|
57 |
{"index":32,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":82.62,"BIOSSES":83.5,"SICK-R":81.27,"STS12":74.37,"STS13":85.2,"STS14":80.98,"STS15":89.23,"STS16":86.32,"STS17 (en-en)":90.34,"STS22 (en)":66.42,"STSBenchmark":88.55}
|
58 |
+
{"index":185,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.61,"BIOSSES":76.91,"SICK-R":80.33,"STS12":80.59,"STS13":86.59,"STS14":82.99,"STS15":88.79,"STS16":84.44,"STS17 (en-en)":89.31,"STS22 (en)":67.97,"STSBenchmark":88.14}
|
59 |
+
{"index":136,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.61,"BIOSSES":76.91,"SICK-R":80.33,"STS12":80.59,"STS13":86.59,"STS14":82.99,"STS15":88.79,"STS16":84.44,"STS17 (en-en)":89.31,"STS22 (en)":67.97,"STSBenchmark":88.14}
|
60 |
+
{"index":61,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.61,"BIOSSES":76.91,"SICK-R":80.33,"STS12":80.59,"STS13":86.59,"STS14":82.99,"STS15":88.79,"STS16":84.44,"STS17 (en-en)":89.31,"STS22 (en)":67.97,"STSBenchmark":88.14}
|
61 |
{"index":189,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.56,"BIOSSES":86.54,"SICK-R":83.23,"STS12":76.13,"STS13":83.19,"STS14":80.6,"STS15":87.16,"STS16":85.16,"STS17 (en-en)":90.88,"STS22 (en)":67.04,"STSBenchmark":85.67}
|
62 |
{"index":207,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-large-en-v1.5-sparse\">bge-large-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.5,"BIOSSES":85.64,"SICK-R":80.74,"STS12":76.07,"STS13":86.81,"STS14":81.68,"STS15":88.75,"STS16":84.61,"STS17 (en-en)":89.75,"STS22 (en)":64.1,"STSBenchmark":86.88}
|
63 |
{"index":15,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.42,"BIOSSES":81.12,"SICK-R":79.15,"STS12":76.52,"STS13":88.63,"STS14":83.32,"STS15":87.5,"STS16":86.39,"STS17 (en-en)":87.79,"STS22 (en)":66.4,"STSBenchmark":87.35}
|
64 |
+
{"index":21,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
65 |
+
{"index":131,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.4,"BIOSSES":86.94,"SICK-R":80.3,"STS12":78.03,"STS13":84.19,"STS14":82.27,"STS15":87.96,"STS16":85.48,"STS17 (en-en)":86.42,"STS22 (en)":65.95,"STSBenchmark":86.42}
|
66 |
{"index":178,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":82.37,"BIOSSES":84.82,"SICK-R":80.85,"STS12":76.1,"STS13":85.49,"STS14":80.44,"STS15":87.75,"STS16":85.42,"STS17 (en-en)":89.95,"STS22 (en)":65.13,"STSBenchmark":87.71}
|
67 |
{"index":263,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.3,"BIOSSES":87.64,"SICK-R":78.86,"STS12":75.71,"STS13":85.73,"STS14":81.51,"STS15":88.81,"STS16":83.82,"STS17 (en-en)":87.9,"STS22 (en)":67.33,"STSBenchmark":85.73}
|
68 |
{"index":160,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.29,"BIOSSES":82.31,"SICK-R":80.26,"STS12":77.02,"STS13":86.58,"STS14":81.32,"STS15":88.19,"STS16":84.88,"STS17 (en-en)":89.46,"STS22 (en)":66.45,"STSBenchmark":86.43}
|
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|
71 |
{"index":265,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.07,"BIOSSES":88.17,"SICK-R":77.93,"STS12":75.12,"STS13":85.09,"STS14":81.03,"STS15":88.32,"STS16":83.91,"STS17 (en-en)":87.59,"STS22 (en)":68.0,"STSBenchmark":85.57}
|
72 |
{"index":210,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.06,"BIOSSES":86.47,"SICK-R":78.58,"STS12":78.92,"STS13":85.4,"STS14":81.64,"STS15":87.2,"STS16":85.44,"STS17 (en-en)":87.2,"STS22 (en)":64.22,"STSBenchmark":85.54}
|
73 |
{"index":166,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.06,"BIOSSES":84.73,"SICK-R":80.49,"STS12":75.93,"STS13":85.22,"STS14":80.54,"STS15":88.81,"STS16":85.28,"STS17 (en-en)":89.37,"STS22 (en)":62.99,"STSBenchmark":87.21}
|
74 |
+
{"index":53,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.05,"BIOSSES":83.6,"SICK-R":79.28,"STS12":76.95,"STS13":84.12,"STS14":80.46,"STS15":89.76,"STS16":85.47,"STS17 (en-en)":89.03,"STS22 (en)":64.11,"STSBenchmark":87.74}
|
75 |
+
{"index":167,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":82.05,"BIOSSES":83.6,"SICK-R":79.28,"STS12":76.95,"STS13":84.12,"STS14":80.46,"STS15":89.76,"STS16":85.47,"STS17 (en-en)":89.03,"STS22 (en)":64.11,"STSBenchmark":87.74}
|
76 |
{"index":208,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.04,"BIOSSES":86.66,"SICK-R":79.44,"STS12":76.17,"STS13":84.15,"STS14":81.49,"STS15":88.11,"STS16":84.99,"STS17 (en-en)":87.98,"STS22 (en)":65.07,"STSBenchmark":86.31}
|
77 |
{"index":18,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.97,"BIOSSES":83.65,"SICK-R":79.37,"STS12":74.38,"STS13":84.71,"STS14":80.1,"STS15":87.16,"STS16":85.02,"STS17 (en-en)":90.64,"STS22 (en)":68.63,"STSBenchmark":86.04}
|
78 |
+
{"index":285,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
79 |
+
{"index":117,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
80 |
+
{"index":98,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
81 |
{"index":217,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.94,"BIOSSES":84.25,"SICK-R":79.38,"STS12":78.52,"STS13":86.05,"STS14":81.54,"STS15":86.97,"STS16":84.77,"STS17 (en-en)":87.47,"STS22 (en)":65.02,"STSBenchmark":85.47}
|
82 |
{"index":59,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":81.93,"BIOSSES":83.99,"SICK-R":74.65,"STS12":79.39,"STS13":85.32,"STS14":83.9,"STS15":88.47,"STS16":84.44,"STS17 (en-en)":85.77,"STS22 (en)":67.24,"STSBenchmark":86.08}
|
83 |
{"index":281,"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.9,"BIOSSES":85.83,"SICK-R":79.0,"STS12":73.48,"STS13":86.14,"STS14":80.36,"STS15":88.53,"STS16":84.08,"STS17 (en-en)":89.42,"STS22 (en)":66.75,"STSBenchmark":85.45}
|
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|
97 |
{"index":100,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":81.26,"BIOSSES":87.6,"SICK-R":77.01,"STS12":75.67,"STS13":82.4,"STS14":79.93,"STS15":85.82,"STS16":84.5,"STS17 (en-en)":88.93,"STS22 (en)":67.1,"STSBenchmark":83.6}
|
98 |
{"index":205,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.19,"BIOSSES":83.94,"SICK-R":78.64,"STS12":74.88,"STS13":83.64,"STS14":80.4,"STS15":88.01,"STS16":84.31,"STS17 (en-en)":88.3,"STS22 (en)":63.84,"STSBenchmark":85.93}
|
99 |
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{"index":164,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":80.96,"BIOSSES":85.1,"SICK-R":79.66,"STS12":74.22,"STS13":83.31,"STS14":78.52,"STS15":88.35,"STS16":84.15,"STS17 (en-en)":87.23,"STS22 (en)":62.88,"STSBenchmark":86.18}
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{"index":183,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.96,"BIOSSES":84.43,"SICK-R":79.2,"STS12":74.52,"STS13":83.16,"STS14":78.09,"STS15":86.91,"STS16":83.65,"STS17 (en-en)":90.16,"STS22 (en)":64.88,"STSBenchmark":84.6}
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108 |
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109 |
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114 |
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121 |
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122 |
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123 |
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126 |
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127 |
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boards_data/en/data_tasks/Summarization/default.jsonl
CHANGED
@@ -13,31 +13,31 @@
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13 |
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14 |
{"index":161,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.84}
|
15 |
{"index":109,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.75}
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20 |
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24 |
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25 |
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|
31 |
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|
32 |
-
{"index":
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33 |
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{"index":
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34 |
{"index":68,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse\">LLM2Vec-Meta-Llama-3-unsupervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"SummEval":31.45}
|
35 |
{"index":283,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.42}
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36 |
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{"index":
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37 |
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{"index":
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38 |
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{"index":
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39 |
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{"index":
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40 |
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{"index":
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41 |
{"index":17,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"SummEval":31.35}
|
42 |
{"index":90,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabert-all-nli-triplet-Matryoshka\">Arabert-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.33}
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43 |
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@@ -47,35 +47,35 @@
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47 |
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|
48 |
{"index":45,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Hum-Works\/lodestone-base-4096-v1\">lodestone-base-4096-v1<\/a>","Model Size (Million Parameters)":69,"Memory Usage (GB, fp32)":0.26,"Embedding Dimensions":768,"Max Tokens":4096,"SummEval":31.23}
|
49 |
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50 |
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{"index":
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51 |
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52 |
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{"index":
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53 |
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{"index":
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54 |
{"index":16,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"SummEval":31.17}
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55 |
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{"index":
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56 |
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57 |
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{"index":
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58 |
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{"index":
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59 |
{"index":225,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/unsup-simcse-bert-base-uncased\">unsup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.15}
|
60 |
{"index":119,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":31.14}
|
61 |
{"index":129,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.14}
|
62 |
{"index":57,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":31.14}
|
63 |
{"index":298,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"SummEval":31.12}
|
64 |
{"index":177,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"SummEval":31.1}
|
65 |
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{"index":
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66 |
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{"index":
|
67 |
{"index":237,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.05}
|
68 |
{"index":148,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.05}
|
69 |
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{"index":
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70 |
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{"index":
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71 |
-
{"index":
|
72 |
-
{"index":
|
73 |
-
{"index":
|
74 |
{"index":34,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.99}
|
75 |
{"index":60,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.98}
|
76 |
-
{"index":
|
77 |
{"index":73,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.97}
|
78 |
-
{"index":
|
79 |
{"index":180,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.97}
|
80 |
{"index":128,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.96}
|
81 |
{"index":67,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"SummEval":30.94}
|
@@ -84,8 +84,8 @@
|
|
84 |
{"index":105,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.84}
|
85 |
{"index":6,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"SummEval":30.84}
|
86 |
{"index":227,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.83}
|
87 |
-
{"index":
|
88 |
-
{"index":
|
89 |
{"index":239,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.81}
|
90 |
{"index":295,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"SummEval":30.8}
|
91 |
{"index":269,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"SummEval":30.79}
|
@@ -93,19 +93,19 @@
|
|
93 |
{"index":189,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.73}
|
94 |
{"index":212,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.72}
|
95 |
{"index":77,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Wartortle\">Wartortle<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.71}
|
96 |
-
{"index":
|
97 |
-
{"index":
|
98 |
{"index":220,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.7}
|
99 |
{"index":91,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-MiniLM-L12-v2-all-nli-triplet\">Arabic-MiniLM-L12-v2-all-nli-triplet<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.69}
|
100 |
{"index":251,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.67}
|
101 |
{"index":248,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.64}
|
102 |
-
{"index":
|
103 |
-
{"index":
|
104 |
{"index":130,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.6}
|
105 |
{"index":20,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.58}
|
106 |
{"index":272,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.57}
|
107 |
-
{"index":
|
108 |
-
{"index":
|
109 |
{"index":82,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test24\">test24<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.52}
|
110 |
{"index":243,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","SummEval":30.49}
|
111 |
{"index":215,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.47}
|
@@ -113,57 +113,57 @@
|
|
113 |
{"index":84,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEval":30.43}
|
114 |
{"index":265,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.42}
|
115 |
{"index":33,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.41}
|
116 |
-
{"index":
|
117 |
-
{"index":
|
118 |
{"index":285,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
|
119 |
{"index":217,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.4}
|
120 |
{"index":43,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"SummEval":30.39}
|
121 |
{"index":89,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.38}
|
122 |
-
{"index":
|
123 |
-
{"index":
|
124 |
{"index":106,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.31}
|
125 |
{"index":75,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Squirtle\">Squirtle<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.3}
|
126 |
-
{"index":
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127 |
-
{"index":
|
128 |
-
{"index":
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129 |
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{"index":
|
130 |
{"index":191,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.25}
|
131 |
{"index":171,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.23}
|
132 |
{"index":247,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.21}
|
133 |
{"index":53,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.19}
|
134 |
-
{"index":
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135 |
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{"index":
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136 |
{"index":32,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.18}
|
137 |
{"index":92,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-all-nli-triplet-Matryoshka\">Arabic-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.16}
|
138 |
{"index":26,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.12}
|
139 |
{"index":110,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.1}
|
140 |
{"index":259,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-multilingual\">text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.1}
|
141 |
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{"index":
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142 |
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{"index":
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143 |
{"index":214,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":256,"Max Tokens":8192,"SummEval":30.05}
|
144 |
{"index":174,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.04}
|
145 |
{"index":71,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"SummEval":30.01}
|
146 |
{"index":64,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.98}
|
147 |
{"index":69,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":29.96}
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148 |
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{"index":
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149 |
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150 |
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{"index":
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151 |
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152 |
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153 |
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154 |
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{"index":
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155 |
{"index":160,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.85}
|
156 |
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{"index":183,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":
|
157 |
{"index":125,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":384,"Max Tokens":4096,"SummEval":29.83}
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158 |
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{"index":
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159 |
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{"index":
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160 |
{"index":278,"Rank":160,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.78}
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161 |
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{"index":
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162 |
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{"index":
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163 |
{"index":54,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/multilingual-e5-large-GGUF\">multilingual-e5-large-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.69}
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164 |
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165 |
-
{"index":
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166 |
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{"index":
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167 |
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168 |
{"index":95,"Rank":168,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Marbert-all-nli-triplet-Matryoshka\">Marbert-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.53}
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169 |
{"index":249,"Rank":169,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/msmarco-bert-co-condensor\">msmarco-bert-co-condensor<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.5}
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@@ -224,7 +224,6 @@
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{"index":141,"Rank":239,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
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225 |
{"index":142,"Rank":240,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-base\">sentence-camembert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":""}
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226 |
{"index":143,"Rank":241,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":""}
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227 |
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{"index":144,"Rank":242,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
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228 |
{"index":145,"Rank":243,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-base\">USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":""}
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229 |
{"index":146,"Rank":244,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-bge-m3\">USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Embedding Dimensions":1024,"Max Tokens":8192,"SummEval":""}
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230 |
{"index":147,"Rank":245,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/deberta-v1-base\">deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":""}
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13 |
{"index":271,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":31.93}
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14 |
{"index":161,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.84}
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{"index":109,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.75}
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{"index":152,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"SummEval":31.66}
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{"index":264,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":31.66}
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{"index":229,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.61}
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{"index":228,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.61}
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{"index":181,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":31.61}
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{"index":23,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":31.61}
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{"index":123,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aimlresearch2023\/jina-embeddings-v2-base-en-Q8_0-GGUF\">jina-embeddings-v2-base-en-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.6}
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{"index":186,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":31.6}
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{"index":274,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.6}
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{"index":252,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":31.57}
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{"index":200,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":31.55}
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{"index":136,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.55}
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{"index":185,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":31.55}
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{"index":61,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.55}
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{"index":168,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.53}
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{"index":88,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-msmarco-specb-bitfit\">SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":31.46}
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{"index":15,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.46}
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{"index":68,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse\">LLM2Vec-Meta-Llama-3-unsupervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"SummEval":31.45}
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{"index":253,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.39}
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{"index":169,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.39}
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{"index":279,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.38}
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{"index":66,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse\">LLM2Vec-Llama-2-unsupervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"SummEval":31.38}
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{"index":107,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":31.38}
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{"index":17,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"SummEval":31.35}
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{"index":90,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabert-all-nli-triplet-Matryoshka\">Arabert-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.33}
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{"index":72,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"SummEval":31.23}
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{"index":25,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"SummEval":31.2}
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{"index":219,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.2}
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{"index":224,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/sup-simcse-bert-base-uncased\">sup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.17}
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{"index":263,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.17}
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{"index":16,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"SummEval":31.17}
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{"index":18,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":31.17}
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{"index":170,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.16}
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{"index":101,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.16}
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{"index":119,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":31.14}
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{"index":57,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":31.14}
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{"index":298,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"SummEval":31.12}
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{"index":177,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"SummEval":31.1}
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{"index":21,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-en-v1.5\">bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.07}
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{"index":131,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.07}
|
67 |
{"index":237,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.05}
|
68 |
{"index":148,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.05}
|
69 |
+
{"index":299,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"SummEval":31.03}
|
70 |
+
{"index":87,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":31.03}
|
71 |
+
{"index":164,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.01}
|
72 |
+
{"index":190,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.01}
|
73 |
+
{"index":9,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"SummEval":31.01}
|
74 |
{"index":34,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.99}
|
75 |
{"index":60,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.98}
|
76 |
+
{"index":166,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.97}
|
77 |
{"index":73,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.97}
|
78 |
+
{"index":8,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"SummEval":30.97}
|
79 |
{"index":180,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.97}
|
80 |
{"index":128,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.96}
|
81 |
{"index":67,"Rank":81,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"SummEval":30.94}
|
|
|
84 |
{"index":105,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.84}
|
85 |
{"index":6,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"SummEval":30.84}
|
86 |
{"index":227,"Rank":86,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.83}
|
87 |
+
{"index":193,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.82}
|
88 |
+
{"index":102,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.82}
|
89 |
{"index":239,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.81}
|
90 |
{"index":295,"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"SummEval":30.8}
|
91 |
{"index":269,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"SummEval":30.79}
|
|
|
93 |
{"index":189,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.73}
|
94 |
{"index":212,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.72}
|
95 |
{"index":77,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Wartortle\">Wartortle<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.71}
|
96 |
+
{"index":100,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.71}
|
97 |
+
{"index":182,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.71}
|
98 |
{"index":220,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.7}
|
99 |
{"index":91,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-MiniLM-L12-v2-all-nli-triplet\">Arabic-MiniLM-L12-v2-all-nli-triplet<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.69}
|
100 |
{"index":251,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.67}
|
101 |
{"index":248,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.64}
|
102 |
+
{"index":103,"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/LLaMA-embeeding\">LLaMA-embeeding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.62}
|
103 |
+
{"index":178,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":30.62}
|
104 |
{"index":130,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.6}
|
105 |
{"index":20,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.58}
|
106 |
{"index":272,"Rank":106,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.57}
|
107 |
+
{"index":154,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.56}
|
108 |
+
{"index":188,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.56}
|
109 |
{"index":82,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test24\">test24<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.52}
|
110 |
{"index":243,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","SummEval":30.49}
|
111 |
{"index":215,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.47}
|
|
|
113 |
{"index":84,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEval":30.43}
|
114 |
{"index":265,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.42}
|
115 |
{"index":33,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.41}
|
116 |
+
{"index":98,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
|
117 |
+
{"index":117,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
|
118 |
{"index":285,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
|
119 |
{"index":217,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.4}
|
120 |
{"index":43,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"SummEval":30.39}
|
121 |
{"index":89,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.38}
|
122 |
+
{"index":108,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
|
123 |
+
{"index":218,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nthakur\/contriever-base-msmarco\">contriever-base-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
|
124 |
{"index":106,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.31}
|
125 |
{"index":75,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Squirtle\">Squirtle<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.3}
|
126 |
+
{"index":153,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"SummEval":30.28}
|
127 |
+
{"index":165,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.28}
|
128 |
+
{"index":56,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.26}
|
129 |
+
{"index":86,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-nli-bitfit\">SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"SummEval":30.26}
|
130 |
{"index":191,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.25}
|
131 |
{"index":171,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.23}
|
132 |
{"index":247,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.21}
|
133 |
{"index":53,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.19}
|
134 |
+
{"index":167,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.19}
|
135 |
+
{"index":70,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.19}
|
136 |
{"index":32,"Rank":136,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.18}
|
137 |
{"index":92,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-all-nli-triplet-Matryoshka\">Arabic-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.16}
|
138 |
{"index":26,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.12}
|
139 |
{"index":110,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.1}
|
140 |
{"index":259,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-multilingual\">text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.1}
|
141 |
+
{"index":210,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.08}
|
142 |
+
{"index":256,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.08}
|
143 |
{"index":214,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":256,"Max Tokens":8192,"SummEval":30.05}
|
144 |
{"index":174,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.04}
|
145 |
{"index":71,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"SummEval":30.01}
|
146 |
{"index":64,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.98}
|
147 |
{"index":69,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":29.96}
|
148 |
+
{"index":297,"Rank":148,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"SummEval":29.92}
|
149 |
+
{"index":296,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"SummEval":29.92}
|
150 |
+
{"index":255,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.91}
|
151 |
+
{"index":76,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Venusaur\">Venusaur<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.91}
|
152 |
+
{"index":112,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.87}
|
153 |
+
{"index":223,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.87}
|
154 |
+
{"index":187,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":29.87}
|
155 |
{"index":160,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.85}
|
156 |
+
{"index":183,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.85}
|
157 |
{"index":125,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":384,"Max Tokens":4096,"SummEval":29.83}
|
158 |
+
{"index":44,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":29.82}
|
159 |
+
{"index":132,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bert-base-uncased\">bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.82}
|
160 |
{"index":278,"Rank":160,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.78}
|
161 |
+
{"index":270,"Rank":161,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"SummEval":29.71}
|
162 |
+
{"index":85,"Rank":162,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-msmarco-specb-bitfit\">SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"SummEval":29.71}
|
163 |
{"index":54,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/multilingual-e5-large-GGUF\">multilingual-e5-large-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.69}
|
164 |
{"index":245,"Rank":164,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.67}
|
165 |
+
{"index":254,"Rank":165,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.64}
|
166 |
+
{"index":172,"Rank":166,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":29.64}
|
167 |
{"index":213,"Rank":167,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"SummEval":29.59}
|
168 |
{"index":95,"Rank":168,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Marbert-all-nli-triplet-Matryoshka\">Marbert-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.53}
|
169 |
{"index":249,"Rank":169,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/msmarco-bert-co-condensor\">msmarco-bert-co-condensor<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.5}
|
|
|
224 |
{"index":141,"Rank":239,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
225 |
{"index":142,"Rank":240,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-base\">sentence-camembert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":""}
|
226 |
{"index":143,"Rank":241,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":""}
|
|
|
227 |
{"index":145,"Rank":243,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-base\">USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":""}
|
228 |
{"index":146,"Rank":244,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-bge-m3\">USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Embedding Dimensions":1024,"Max Tokens":8192,"SummEval":""}
|
229 |
{"index":147,"Rank":245,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/deberta-v1-base\">deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":""}
|
boards_data/fr/data_tasks/PairClassification/default.jsonl
CHANGED
@@ -49,8 +49,8 @@
|
|
49 |
{"index":68,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":71.52,"OpusparcusPC (fr)":86.61,"PawsXPairClassification (fr)":56.42}
|
50 |
{"index":66,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":71.47,"OpusparcusPC (fr)":87.35,"PawsXPairClassification (fr)":55.59}
|
51 |
{"index":67,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":70.96,"OpusparcusPC (fr)":86.53,"PawsXPairClassification (fr)":55.4}
|
52 |
-
{"index":
|
53 |
-
{"index":
|
54 |
{"index":51,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.59,"OpusparcusPC (fr)":87.76,"PawsXPairClassification (fr)":53.41}
|
55 |
{"index":21,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.56,"OpusparcusPC (fr)":87.73,"PawsXPairClassification (fr)":53.38}
|
56 |
{"index":52,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-uncased\">bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.43,"OpusparcusPC (fr)":87.53,"PawsXPairClassification (fr)":53.33}
|
|
|
49 |
{"index":68,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":71.52,"OpusparcusPC (fr)":86.61,"PawsXPairClassification (fr)":56.42}
|
50 |
{"index":66,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":71.47,"OpusparcusPC (fr)":87.35,"PawsXPairClassification (fr)":55.59}
|
51 |
{"index":67,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":70.96,"OpusparcusPC (fr)":86.53,"PawsXPairClassification (fr)":55.4}
|
52 |
+
{"index":22,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.59,"OpusparcusPC (fr)":87.78,"PawsXPairClassification (fr)":53.4}
|
53 |
+
{"index":20,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.59,"OpusparcusPC (fr)":87.78,"PawsXPairClassification (fr)":53.4}
|
54 |
{"index":51,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.59,"OpusparcusPC (fr)":87.76,"PawsXPairClassification (fr)":53.41}
|
55 |
{"index":21,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.56,"OpusparcusPC (fr)":87.73,"PawsXPairClassification (fr)":53.38}
|
56 |
{"index":52,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-uncased\">bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.43,"OpusparcusPC (fr)":87.53,"PawsXPairClassification (fr)":53.33}
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boards_data/fr/data_tasks/Reranking/default.jsonl
CHANGED
@@ -6,8 +6,8 @@
|
|
6 |
{"index":3,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":82.06,"AlloprofReranking":72.92,"SyntecReranking":91.2}
|
7 |
{"index":0,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":80.46,"AlloprofReranking":72.36,"SyntecReranking":88.57}
|
8 |
{"index":28,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large-8k\">bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":80.35,"AlloprofReranking":73.1,"SyntecReranking":87.6}
|
9 |
-
{"index":
|
10 |
-
{"index":
|
11 |
{"index":2,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-code-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":16000,"Average":78.78,"AlloprofReranking":70.79,"SyntecReranking":86.77}
|
12 |
{"index":9,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":78.7,"AlloprofReranking":73.08,"SyntecReranking":84.32}
|
13 |
{"index":55,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":77.44,"AlloprofReranking":69.44,"SyntecReranking":85.45}
|
@@ -52,8 +52,8 @@
|
|
52 |
{"index":48,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_cased\">flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.34,"AlloprofReranking":34.81,"SyntecReranking":55.88}
|
53 |
{"index":22,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.75,"AlloprofReranking":36.25,"SyntecReranking":53.25}
|
54 |
{"index":51,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.74,"AlloprofReranking":36.23,"SyntecReranking":53.25}
|
55 |
-
{"index":
|
56 |
-
{"index":
|
57 |
{"index":59,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":39.82,"AlloprofReranking":28.75,"SyntecReranking":50.88}
|
58 |
{"index":88,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":39.01,"AlloprofReranking":28.62,"SyntecReranking":49.4}
|
59 |
{"index":87,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":34.66,"AlloprofReranking":25.58,"SyntecReranking":43.75}
|
|
|
6 |
{"index":3,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":82.06,"AlloprofReranking":72.92,"SyntecReranking":91.2}
|
7 |
{"index":0,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":80.46,"AlloprofReranking":72.36,"SyntecReranking":88.57}
|
8 |
{"index":28,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large-8k\">bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":80.35,"AlloprofReranking":73.1,"SyntecReranking":87.6}
|
9 |
+
{"index":37,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":79.79,"AlloprofReranking":73.63,"SyntecReranking":85.95}
|
10 |
+
{"index":27,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":79.79,"AlloprofReranking":73.63,"SyntecReranking":85.95}
|
11 |
{"index":2,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-code-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":16000,"Average":78.78,"AlloprofReranking":70.79,"SyntecReranking":86.77}
|
12 |
{"index":9,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":78.7,"AlloprofReranking":73.08,"SyntecReranking":84.32}
|
13 |
{"index":55,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":77.44,"AlloprofReranking":69.44,"SyntecReranking":85.45}
|
|
|
52 |
{"index":48,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_cased\">flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":45.34,"AlloprofReranking":34.81,"SyntecReranking":55.88}
|
53 |
{"index":22,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.75,"AlloprofReranking":36.25,"SyntecReranking":53.25}
|
54 |
{"index":51,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.74,"AlloprofReranking":36.23,"SyntecReranking":53.25}
|
55 |
+
{"index":21,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.73,"AlloprofReranking":36.21,"SyntecReranking":53.25}
|
56 |
+
{"index":20,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.73,"AlloprofReranking":36.21,"SyntecReranking":53.25}
|
57 |
{"index":59,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":39.82,"AlloprofReranking":28.75,"SyntecReranking":50.88}
|
58 |
{"index":88,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":39.01,"AlloprofReranking":28.62,"SyntecReranking":49.4}
|
59 |
{"index":87,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":34.66,"AlloprofReranking":25.58,"SyntecReranking":43.75}
|
boards_data/fr/data_tasks/Retrieval/default.jsonl
CHANGED
@@ -4,8 +4,8 @@
|
|
4 |
{"index":3,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":52.98,"AlloprofRetrieval":57.28,"BSARDRetrieval":11.83,"MintakaRetrieval (fr)":34.92,"SyntecRetrieval":87.33,"XPQARetrieval (fr)":73.56}
|
5 |
{"index":10,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":52.97,"AlloprofRetrieval":53.64,"BSARDRetrieval":26.11,"MintakaRetrieval (fr)":34.71,"SyntecRetrieval":83.04,"XPQARetrieval (fr)":67.33}
|
6 |
{"index":8,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":52.56,"AlloprofRetrieval":57.89,"BSARDRetrieval":6.3,"MintakaRetrieval (fr)":42.56,"SyntecRetrieval":90.47,"XPQARetrieval (fr)":65.58}
|
7 |
-
{"index":
|
8 |
-
{"index":
|
9 |
{"index":55,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":48.68,"AlloprofRetrieval":39.34,"BSARDRetrieval":21.28,"MintakaRetrieval (fr)":34.24,"SyntecRetrieval":82.39,"XPQARetrieval (fr)":66.15}
|
10 |
{"index":90,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":48.23,"AlloprofRetrieval":51.64,"BSARDRetrieval":0.61,"MintakaRetrieval (fr)":29.94,"SyntecRetrieval":85.97,"XPQARetrieval (fr)":73.0}
|
11 |
{"index":0,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":46.81,"AlloprofRetrieval":56.84,"BSARDRetrieval":2.48,"MintakaRetrieval (fr)":21.73,"SyntecRetrieval":78.77,"XPQARetrieval (fr)":74.24}
|
|
|
4 |
{"index":3,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":52.98,"AlloprofRetrieval":57.28,"BSARDRetrieval":11.83,"MintakaRetrieval (fr)":34.92,"SyntecRetrieval":87.33,"XPQARetrieval (fr)":73.56}
|
5 |
{"index":10,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":52.97,"AlloprofRetrieval":53.64,"BSARDRetrieval":26.11,"MintakaRetrieval (fr)":34.71,"SyntecRetrieval":83.04,"XPQARetrieval (fr)":67.33}
|
6 |
{"index":8,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":52.56,"AlloprofRetrieval":57.89,"BSARDRetrieval":6.3,"MintakaRetrieval (fr)":42.56,"SyntecRetrieval":90.47,"XPQARetrieval (fr)":65.58}
|
7 |
+
{"index":37,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":50.09,"AlloprofRetrieval":47.6,"BSARDRetrieval":19.58,"MintakaRetrieval (fr)":32.62,"SyntecRetrieval":84.2,"XPQARetrieval (fr)":66.43}
|
8 |
+
{"index":27,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":50.09,"AlloprofRetrieval":47.6,"BSARDRetrieval":19.58,"MintakaRetrieval (fr)":32.62,"SyntecRetrieval":84.2,"XPQARetrieval (fr)":66.43}
|
9 |
{"index":55,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":48.68,"AlloprofRetrieval":39.34,"BSARDRetrieval":21.28,"MintakaRetrieval (fr)":34.24,"SyntecRetrieval":82.39,"XPQARetrieval (fr)":66.15}
|
10 |
{"index":90,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":48.23,"AlloprofRetrieval":51.64,"BSARDRetrieval":0.61,"MintakaRetrieval (fr)":29.94,"SyntecRetrieval":85.97,"XPQARetrieval (fr)":73.0}
|
11 |
{"index":0,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":46.81,"AlloprofRetrieval":56.84,"BSARDRetrieval":2.48,"MintakaRetrieval (fr)":21.73,"SyntecRetrieval":78.77,"XPQARetrieval (fr)":74.24}
|
boards_data/fr/data_tasks/Summarization/default.jsonl
CHANGED
@@ -9,9 +9,9 @@
|
|
9 |
{"index":0,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","SummEvalFr":31.47}
|
10 |
{"index":9,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"SummEvalFr":31.45}
|
11 |
{"index":15,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"SummEvalFr":31.4}
|
12 |
-
{"index":
|
13 |
-
{"index":
|
14 |
-
{"index":
|
15 |
{"index":55,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEvalFr":30.92}
|
16 |
{"index":1,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"SummEvalFr":30.88}
|
17 |
{"index":44,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"SummEvalFr":30.88}
|
@@ -21,14 +21,14 @@
|
|
21 |
{"index":8,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"SummEvalFr":30.5}
|
22 |
{"index":80,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":30.39}
|
23 |
{"index":3,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"SummEvalFr":30.34}
|
24 |
-
{"index":
|
25 |
-
{"index":
|
26 |
{"index":61,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.1\">sentence_croissant_alpha_v0.1<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEvalFr":30.28}
|
27 |
{"index":62,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.2\">sentence_croissant_alpha_v0.2<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEvalFr":30.27}
|
28 |
{"index":78,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":30.23}
|
29 |
{"index":64,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.4\">sentence_croissant_alpha_v0.4<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEvalFr":30.22}
|
30 |
-
{"index":
|
31 |
-
{"index":
|
32 |
{"index":60,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/bge-m3-custom-fr\">bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"SummEvalFr":30.13}
|
33 |
{"index":77,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":30.01}
|
34 |
{"index":4,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"SummEvalFr":29.96}
|
|
|
9 |
{"index":0,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","SummEvalFr":31.47}
|
10 |
{"index":9,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"SummEvalFr":31.45}
|
11 |
{"index":15,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"SummEvalFr":31.4}
|
12 |
+
{"index":16,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"SummEvalFr":31.26}
|
13 |
+
{"index":11,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"SummEvalFr":31.26}
|
14 |
+
{"index":48,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_cased\">flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":31.26}
|
15 |
{"index":55,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEvalFr":30.92}
|
16 |
{"index":1,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"SummEvalFr":30.88}
|
17 |
{"index":44,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"SummEvalFr":30.88}
|
|
|
21 |
{"index":8,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"SummEvalFr":30.5}
|
22 |
{"index":80,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":30.39}
|
23 |
{"index":3,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"SummEvalFr":30.34}
|
24 |
+
{"index":27,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEvalFr":30.3}
|
25 |
+
{"index":37,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEvalFr":30.3}
|
26 |
{"index":61,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.1\">sentence_croissant_alpha_v0.1<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEvalFr":30.28}
|
27 |
{"index":62,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.2\">sentence_croissant_alpha_v0.2<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEvalFr":30.27}
|
28 |
{"index":78,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":30.23}
|
29 |
{"index":64,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.4\">sentence_croissant_alpha_v0.4<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEvalFr":30.22}
|
30 |
+
{"index":65,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":30.16}
|
31 |
+
{"index":26,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEvalFr":30.16}
|
32 |
{"index":60,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/bge-m3-custom-fr\">bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"SummEvalFr":30.13}
|
33 |
{"index":77,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEvalFr":30.01}
|
34 |
{"index":4,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"SummEvalFr":29.96}
|
boards_data/ru/data_tasks/PairClassification/default.jsonl
CHANGED
@@ -13,8 +13,8 @@
|
|
13 |
{"index":50,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":312,"Max Tokens":2048,"TERRa":56.27}
|
14 |
{"index":35,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":55.71}
|
15 |
{"index":21,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/LaBSE-en-ru\">LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":55.61}
|
16 |
-
{"index":
|
17 |
-
{"index":
|
18 |
{"index":29,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"TERRa":54.96}
|
19 |
{"index":7,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased\">rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":53.17}
|
20 |
{"index":6,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/distilrubert-small-cased-conversational\">distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":53.02}
|
|
|
13 |
{"index":50,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":312,"Max Tokens":2048,"TERRa":56.27}
|
14 |
{"index":35,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":55.71}
|
15 |
{"index":21,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/LaBSE-en-ru\">LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":55.61}
|
16 |
+
{"index":32,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"TERRa":55.14}
|
17 |
+
{"index":13,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"TERRa":55.14}
|
18 |
{"index":29,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"TERRa":54.96}
|
19 |
{"index":7,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased\">rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":53.17}
|
20 |
{"index":6,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/distilrubert-small-cased-conversational\">distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":53.02}
|
boards_data/zh/data_tasks/Clustering/default.jsonl
CHANGED
@@ -31,8 +31,8 @@
|
|
31 |
{"index":22,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":49.04,"CLSClusteringP2P":40.03,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.85,"ThuNewsClusteringS2S":57.09}
|
32 |
{"index":21,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":49.0,"CLSClusteringP2P":39.96,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.74,"ThuNewsClusteringS2S":57.09}
|
33 |
{"index":28,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":48.99,"CLSClusteringP2P":41.44,"CLSClusteringS2S":38.33,"ThuNewsClusteringP2P":59.61,"ThuNewsClusteringS2S":56.58}
|
34 |
-
{"index":
|
35 |
-
{"index":
|
36 |
{"index":38,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.88,"CLSClusteringP2P":42.46,"CLSClusteringS2S":40.38,"ThuNewsClusteringP2P":58.54,"ThuNewsClusteringS2S":54.15}
|
37 |
{"index":229,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.88,"CLSClusteringP2P":38.6,"CLSClusteringS2S":38.02,"ThuNewsClusteringP2P":60.39,"ThuNewsClusteringS2S":58.51}
|
38 |
{"index":37,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.81,"CLSClusteringP2P":42.84,"CLSClusteringS2S":39.77,"ThuNewsClusteringP2P":58.93,"ThuNewsClusteringS2S":53.71}
|
@@ -55,8 +55,8 @@
|
|
55 |
{"index":291,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.39,"CLSClusteringP2P":37.01,"CLSClusteringS2S":33.46,"ThuNewsClusteringP2P":58.83,"ThuNewsClusteringS2S":48.26}
|
56 |
{"index":34,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":44.18,"CLSClusteringP2P":38.14,"CLSClusteringS2S":35.14,"ThuNewsClusteringP2P":54.22,"ThuNewsClusteringS2S":49.22}
|
57 |
{"index":201,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":43.24,"CLSClusteringP2P":36.73,"CLSClusteringS2S":36.45,"ThuNewsClusteringP2P":50.24,"ThuNewsClusteringS2S":49.54}
|
58 |
-
{"index":
|
59 |
-
{"index":
|
60 |
{"index":203,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":42.32,"CLSClusteringP2P":36.0,"CLSClusteringS2S":36.35,"ThuNewsClusteringP2P":49.19,"ThuNewsClusteringS2S":47.76}
|
61 |
{"index":196,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":40.68,"CLSClusteringP2P":32.41,"CLSClusteringS2S":36.99,"ThuNewsClusteringP2P":40.98,"ThuNewsClusteringS2S":52.36}
|
62 |
{"index":49,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":39.67,"CLSClusteringP2P":39.24,"CLSClusteringS2S":35.36,"ThuNewsClusteringP2P":47.3,"ThuNewsClusteringS2S":36.77}
|
|
|
31 |
{"index":22,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":49.04,"CLSClusteringP2P":40.03,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.85,"ThuNewsClusteringS2S":57.09}
|
32 |
{"index":21,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":49.0,"CLSClusteringP2P":39.96,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.74,"ThuNewsClusteringS2S":57.09}
|
33 |
{"index":28,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":48.99,"CLSClusteringP2P":41.44,"CLSClusteringS2S":38.33,"ThuNewsClusteringP2P":59.61,"ThuNewsClusteringS2S":56.58}
|
34 |
+
{"index":302,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.95,"CLSClusteringP2P":39.54,"CLSClusteringS2S":37.33,"ThuNewsClusteringP2P":63.79,"ThuNewsClusteringS2S":55.14}
|
35 |
+
{"index":300,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":48.95,"CLSClusteringP2P":39.54,"CLSClusteringS2S":37.33,"ThuNewsClusteringP2P":63.79,"ThuNewsClusteringS2S":55.14}
|
36 |
{"index":38,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.88,"CLSClusteringP2P":42.46,"CLSClusteringS2S":40.38,"ThuNewsClusteringP2P":58.54,"ThuNewsClusteringS2S":54.15}
|
37 |
{"index":229,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.88,"CLSClusteringP2P":38.6,"CLSClusteringS2S":38.02,"ThuNewsClusteringP2P":60.39,"ThuNewsClusteringS2S":58.51}
|
38 |
{"index":37,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":48.81,"CLSClusteringP2P":42.84,"CLSClusteringS2S":39.77,"ThuNewsClusteringP2P":58.93,"ThuNewsClusteringS2S":53.71}
|
|
|
55 |
{"index":291,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.39,"CLSClusteringP2P":37.01,"CLSClusteringS2S":33.46,"ThuNewsClusteringP2P":58.83,"ThuNewsClusteringS2S":48.26}
|
56 |
{"index":34,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":44.18,"CLSClusteringP2P":38.14,"CLSClusteringS2S":35.14,"ThuNewsClusteringP2P":54.22,"ThuNewsClusteringS2S":49.22}
|
57 |
{"index":201,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"Average":43.24,"CLSClusteringP2P":36.73,"CLSClusteringS2S":36.45,"ThuNewsClusteringP2P":50.24,"ThuNewsClusteringS2S":49.54}
|
58 |
+
{"index":202,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":42.42,"CLSClusteringP2P":35.21,"CLSClusteringS2S":35.12,"ThuNewsClusteringP2P":51.03,"ThuNewsClusteringS2S":48.32}
|
59 |
+
{"index":200,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":42.42,"CLSClusteringP2P":35.36,"CLSClusteringS2S":37.07,"ThuNewsClusteringP2P":48.91,"ThuNewsClusteringS2S":48.34}
|
60 |
{"index":203,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":42.32,"CLSClusteringP2P":36.0,"CLSClusteringS2S":36.35,"ThuNewsClusteringP2P":49.19,"ThuNewsClusteringS2S":47.76}
|
61 |
{"index":196,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":40.68,"CLSClusteringP2P":32.41,"CLSClusteringS2S":36.99,"ThuNewsClusteringP2P":40.98,"ThuNewsClusteringS2S":52.36}
|
62 |
{"index":49,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":39.67,"CLSClusteringP2P":39.24,"CLSClusteringS2S":35.36,"ThuNewsClusteringP2P":47.3,"ThuNewsClusteringS2S":36.77}
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boards_data/zh/data_tasks/PairClassification/default.jsonl
CHANGED
@@ -23,8 +23,8 @@
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|
23 |
{"index":292,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
|
24 |
{"index":211,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
|
25 |
{"index":188,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":82.68,"Cmnli":86.85,"Ocnli":78.51}
|
26 |
-
{"index":
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27 |
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{"index":
|
28 |
{"index":37,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.3,"Ocnli":77.46}
|
29 |
{"index":38,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.55,"Ocnli":77.21}
|
30 |
{"index":331,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":82.35,"Cmnli":85.33,"Ocnli":79.37}
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@@ -51,8 +51,8 @@
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|
51 |
{"index":193,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":72.19,"Cmnli":80.21,"Ocnli":64.18}
|
52 |
{"index":53,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":71.16,"Cmnli":77.85,"Ocnli":64.47}
|
53 |
{"index":34,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":70.4,"Cmnli":76.24,"Ocnli":64.57}
|
54 |
-
{"index":
|
55 |
-
{"index":
|
56 |
{"index":197,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":69.89,"Cmnli":78.18,"Ocnli":61.6}
|
57 |
{"index":327,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":69.56,"Cmnli":76.04,"Ocnli":63.08}
|
58 |
{"index":285,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":68.76,"Cmnli":75.67,"Ocnli":61.85}
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|
23 |
{"index":292,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
|
24 |
{"index":211,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
|
25 |
{"index":188,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":82.68,"Cmnli":86.85,"Ocnli":78.51}
|
26 |
+
{"index":21,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
|
27 |
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{"index":22,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
|
28 |
{"index":37,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.3,"Ocnli":77.46}
|
29 |
{"index":38,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.55,"Ocnli":77.21}
|
30 |
{"index":331,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":82.35,"Cmnli":85.33,"Ocnli":79.37}
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|
51 |
{"index":193,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":72.19,"Cmnli":80.21,"Ocnli":64.18}
|
52 |
{"index":53,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":71.16,"Cmnli":77.85,"Ocnli":64.47}
|
53 |
{"index":34,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":70.4,"Cmnli":76.24,"Ocnli":64.57}
|
54 |
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{"index":300,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":70.0,"Cmnli":76.46,"Ocnli":63.54}
|
55 |
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{"index":302,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":70.0,"Cmnli":76.46,"Ocnli":63.54}
|
56 |
{"index":197,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":69.89,"Cmnli":78.18,"Ocnli":61.6}
|
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{"index":327,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":69.56,"Cmnli":76.04,"Ocnli":63.08}
|
58 |
{"index":285,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":68.76,"Cmnli":75.67,"Ocnli":61.85}
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boards_data/zh/data_tasks/Reranking/default.jsonl
CHANGED
@@ -30,8 +30,8 @@
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|
30 |
{"index":214,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":67.34,"CMedQAv1":87.12,"CMedQAv2":87.57,"MMarcoReranking":28.08,"T2Reranking":66.6}
|
31 |
{"index":43,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh\">Dmeta-embedding-zh<\/a>","Model Size (Million Parameters)":103,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":1024,"Average":67.17,"CMedQAv1":88.49,"CMedQAv2":89.18,"MMarcoReranking":24.76,"T2Reranking":66.26}
|
32 |
{"index":156,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/corto-ai\/bge-reranker-large-onnx\">bge-reranker-large-onnx<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.03,"CMedQAv1":81.27,"CMedQAv2":84.1,"MMarcoReranking":35.46,"T2Reranking":67.28}
|
33 |
-
{"index":
|
34 |
-
{"index":
|
35 |
{"index":296,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base-zh\">gte-base-zh<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.0,"CMedQAv1":86.79,"CMedQAv2":87.2,"MMarcoReranking":27.64,"T2Reranking":66.36}
|
36 |
{"index":184,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":66.95,"CMedQAv1":85.69,"CMedQAv2":86.46,"MMarcoReranking":29.2,"T2Reranking":66.46}
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{"index":44,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh-small\">Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Embedding Dimensions":768,"Max Tokens":1024,"Average":66.92,"CMedQAv1":86.78,"CMedQAv2":87.39,"MMarcoReranking":27.39,"T2Reranking":66.11}
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@@ -42,11 +42,11 @@
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42 |
{"index":21,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":66.39,"CMedQAv1":85.34,"CMedQAv2":85.87,"MMarcoReranking":27.96,"T2Reranking":66.38}
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{"index":15,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":66.38,"CMedQAv1":86.37,"CMedQAv2":87.41,"MMarcoReranking":23.64,"T2Reranking":68.11}
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44 |
{"index":22,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":66.38,"CMedQAv1":85.34,"CMedQAv2":85.81,"MMarcoReranking":27.97,"T2Reranking":66.38}
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-
{"index":
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50 |
{"index":187,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":65.98,"CMedQAv1":84.69,"CMedQAv2":85.23,"MMarcoReranking":27.16,"T2Reranking":66.86}
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{"index":263,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":65.98,"CMedQAv1":84.79,"CMedQAv2":84.89,"MMarcoReranking":27.27,"T2Reranking":66.96}
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30 |
{"index":214,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":67.34,"CMedQAv1":87.12,"CMedQAv2":87.57,"MMarcoReranking":28.08,"T2Reranking":66.6}
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{"index":43,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh\">Dmeta-embedding-zh<\/a>","Model Size (Million Parameters)":103,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":1024,"Average":67.17,"CMedQAv1":88.49,"CMedQAv2":89.18,"MMarcoReranking":24.76,"T2Reranking":66.26}
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{"index":156,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/corto-ai\/bge-reranker-large-onnx\">bge-reranker-large-onnx<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.03,"CMedQAv1":81.27,"CMedQAv2":84.1,"MMarcoReranking":35.46,"T2Reranking":67.28}
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{"index":31,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-reranker-base\">bge-reranker-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":67.03,"CMedQAv1":81.27,"CMedQAv2":84.1,"MMarcoReranking":35.46,"T2Reranking":67.28}
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{"index":32,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-reranker-large\">bge-reranker-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":67.03,"CMedQAv1":81.27,"CMedQAv2":84.1,"MMarcoReranking":35.46,"T2Reranking":67.28}
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{"index":296,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base-zh\">gte-base-zh<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.0,"CMedQAv1":86.79,"CMedQAv2":87.2,"MMarcoReranking":27.64,"T2Reranking":66.36}
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{"index":184,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":66.95,"CMedQAv1":85.69,"CMedQAv2":86.46,"MMarcoReranking":29.2,"T2Reranking":66.46}
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{"index":44,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh-small\">Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Embedding Dimensions":768,"Max Tokens":1024,"Average":66.92,"CMedQAv1":86.78,"CMedQAv2":87.39,"MMarcoReranking":27.39,"T2Reranking":66.11}
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{"index":21,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":66.39,"CMedQAv1":85.34,"CMedQAv2":85.87,"MMarcoReranking":27.96,"T2Reranking":66.38}
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43 |
{"index":15,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":66.38,"CMedQAv1":86.37,"CMedQAv2":87.41,"MMarcoReranking":23.64,"T2Reranking":68.11}
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44 |
{"index":22,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":66.38,"CMedQAv1":85.34,"CMedQAv2":85.81,"MMarcoReranking":27.97,"T2Reranking":66.38}
|
45 |
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{"index":300,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":66.22,"CMedQAv1":86.08,"CMedQAv2":87.26,"MMarcoReranking":26.13,"T2Reranking":65.39}
|
46 |
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{"index":302,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":66.22,"CMedQAv1":86.08,"CMedQAv2":87.26,"MMarcoReranking":26.13,"T2Reranking":65.39}
|
47 |
{"index":185,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":66.1,"CMedQAv1":84.7,"CMedQAv2":85.31,"MMarcoReranking":28.05,"T2Reranking":66.35}
|
48 |
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{"index":311,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":66.04,"CMedQAv1":86.1,"CMedQAv2":86.95,"MMarcoReranking":24.26,"T2Reranking":66.83}
|
49 |
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{"index":136,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/akarum\/cloudy-large-zh\">cloudy-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":66.04,"CMedQAv1":86.1,"CMedQAv2":86.95,"MMarcoReranking":24.26,"T2Reranking":66.83}
|
50 |
{"index":187,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":65.98,"CMedQAv1":84.69,"CMedQAv2":85.23,"MMarcoReranking":27.16,"T2Reranking":66.86}
|
51 |
{"index":263,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":65.98,"CMedQAv1":84.79,"CMedQAv2":84.89,"MMarcoReranking":27.27,"T2Reranking":66.96}
|
52 |
{"index":51,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average":65.89,"CMedQAv1":84.67,"CMedQAv2":85.27,"MMarcoReranking":27.84,"T2Reranking":65.79}
|
boards_data/zh/data_tasks/Retrieval/default.jsonl
CHANGED
@@ -32,8 +32,8 @@
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|
32 |
{"index":184,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":71.07,"CmedqaRetrieval":41.86,"CovidRetrieval":84.71,"DuRetrieval":87.8,"EcomRetrieval":62.46,"MedicalRetrieval":57.97,"MMarcoRetrieval":78.22,"T2Retrieval":82.51,"VideoRetrieval":73.04}
|
33 |
{"index":187,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":71.02,"CmedqaRetrieval":42.28,"CovidRetrieval":85.19,"DuRetrieval":87.81,"EcomRetrieval":61.66,"MedicalRetrieval":59.38,"MMarcoRetrieval":78.1,"T2Retrieval":82.76,"VideoRetrieval":70.96}
|
34 |
{"index":263,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":70.93,"CmedqaRetrieval":41.98,"CovidRetrieval":85.04,"DuRetrieval":87.97,"EcomRetrieval":61.91,"MedicalRetrieval":59.04,"MMarcoRetrieval":77.83,"T2Retrieval":82.47,"VideoRetrieval":71.18}
|
35 |
-
{"index":
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36 |
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{"index":
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37 |
{"index":15,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":70.62,"CmedqaRetrieval":43.47,"CovidRetrieval":80.87,"DuRetrieval":86.01,"EcomRetrieval":66.46,"MedicalRetrieval":61.33,"MMarcoRetrieval":73.83,"T2Retrieval":83.58,"VideoRetrieval":69.41}
|
38 |
{"index":27,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-noinstruct\">bge-large-zh-noinstruct<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":70.54,"CmedqaRetrieval":41.03,"CovidRetrieval":75.07,"DuRetrieval":84.68,"EcomRetrieval":65.6,"MedicalRetrieval":58.28,"MMarcoRetrieval":81.38,"T2Retrieval":84.39,"VideoRetrieval":73.93}
|
39 |
{"index":28,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":70.46,"CmedqaRetrieval":42.57,"CovidRetrieval":73.35,"DuRetrieval":86.32,"EcomRetrieval":65.33,"MedicalRetrieval":59.59,"MMarcoRetrieval":79.23,"T2Retrieval":83.99,"VideoRetrieval":73.32}
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@@ -43,8 +43,8 @@
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|
43 |
{"index":185,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":70.08,"CmedqaRetrieval":42.03,"CovidRetrieval":79.86,"DuRetrieval":86.97,"EcomRetrieval":62.85,"MedicalRetrieval":58.5,"MMarcoRetrieval":78.36,"T2Retrieval":83.76,"VideoRetrieval":68.27}
|
44 |
{"index":51,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average":69.59,"CmedqaRetrieval":41.8,"CovidRetrieval":79.3,"DuRetrieval":86.43,"EcomRetrieval":62.64,"MedicalRetrieval":58.27,"MMarcoRetrieval":78.17,"T2Retrieval":82.11,"VideoRetrieval":67.96}
|
45 |
{"index":24,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-zh-v1.5\">bge-base-zh-v1.5<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":69.49,"CmedqaRetrieval":41.61,"CovidRetrieval":74.7,"DuRetrieval":85.07,"EcomRetrieval":64.25,"MedicalRetrieval":56.51,"MMarcoRetrieval":77.69,"T2Retrieval":83.71,"VideoRetrieval":72.35}
|
46 |
-
{"index":
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47 |
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{"index":
|
48 |
{"index":128,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/EminEmbed-multilingual-v1.0\">EminEmbed-multilingual-v1.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.3,"CmedqaRetrieval":40.68,"CovidRetrieval":81.63,"DuRetrieval":81.62,"EcomRetrieval":61.99,"MedicalRetrieval":56.74,"MMarcoRetrieval":78.07,"T2Retrieval":83.87,"VideoRetrieval":69.8}
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49 |
{"index":44,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh-small\">Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Embedding Dimensions":768,"Max Tokens":1024,"Average":67.7,"CmedqaRetrieval":42.69,"CovidRetrieval":75.63,"DuRetrieval":79.89,"EcomRetrieval":64.48,"MedicalRetrieval":59.95,"MMarcoRetrieval":70.75,"T2Retrieval":79.9,"VideoRetrieval":68.3}
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50 |
{"index":300,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":65.5,"CmedqaRetrieval":42.46,"CovidRetrieval":61.65,"DuRetrieval":78.57,"EcomRetrieval":57.91,"MedicalRetrieval":62.64,"MMarcoRetrieval":75.0,"T2Retrieval":78.12,"VideoRetrieval":67.69}
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32 |
{"index":184,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":71.07,"CmedqaRetrieval":41.86,"CovidRetrieval":84.71,"DuRetrieval":87.8,"EcomRetrieval":62.46,"MedicalRetrieval":57.97,"MMarcoRetrieval":78.22,"T2Retrieval":82.51,"VideoRetrieval":73.04}
|
33 |
{"index":187,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":71.02,"CmedqaRetrieval":42.28,"CovidRetrieval":85.19,"DuRetrieval":87.81,"EcomRetrieval":61.66,"MedicalRetrieval":59.38,"MMarcoRetrieval":78.1,"T2Retrieval":82.76,"VideoRetrieval":70.96}
|
34 |
{"index":263,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":512,"Average":70.93,"CmedqaRetrieval":41.98,"CovidRetrieval":85.04,"DuRetrieval":87.97,"EcomRetrieval":61.91,"MedicalRetrieval":59.04,"MMarcoRetrieval":77.83,"T2Retrieval":82.47,"VideoRetrieval":71.18}
|
35 |
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{"index":99,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NLPArtisan\/qwen-1.8b-retrieval-test\">qwen-1.8b-retrieval-test<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":70.63,"CmedqaRetrieval":40.57,"CovidRetrieval":75.93,"DuRetrieval":83.73,"EcomRetrieval":66.14,"MedicalRetrieval":58.58,"MMarcoRetrieval":81.95,"T2Retrieval":84.17,"VideoRetrieval":73.94}
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{"index":252,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pengql\/checkpoint-9000\">checkpoint-9000<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":70.63,"CmedqaRetrieval":40.57,"CovidRetrieval":75.93,"DuRetrieval":83.73,"EcomRetrieval":66.14,"MedicalRetrieval":58.58,"MMarcoRetrieval":81.95,"T2Retrieval":84.17,"VideoRetrieval":73.94}
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37 |
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|
38 |
{"index":27,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-noinstruct\">bge-large-zh-noinstruct<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":70.54,"CmedqaRetrieval":41.03,"CovidRetrieval":75.07,"DuRetrieval":84.68,"EcomRetrieval":65.6,"MedicalRetrieval":58.28,"MMarcoRetrieval":81.38,"T2Retrieval":84.39,"VideoRetrieval":73.93}
|
39 |
{"index":28,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":70.46,"CmedqaRetrieval":42.57,"CovidRetrieval":73.35,"DuRetrieval":86.32,"EcomRetrieval":65.33,"MedicalRetrieval":59.59,"MMarcoRetrieval":79.23,"T2Retrieval":83.99,"VideoRetrieval":73.32}
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43 |
{"index":185,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":1024,"Average":70.08,"CmedqaRetrieval":42.03,"CovidRetrieval":79.86,"DuRetrieval":86.97,"EcomRetrieval":62.85,"MedicalRetrieval":58.5,"MMarcoRetrieval":78.36,"T2Retrieval":83.76,"VideoRetrieval":68.27}
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{"index":51,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Embedding Dimensions":768,"Max Tokens":512,"Average":69.59,"CmedqaRetrieval":41.8,"CovidRetrieval":79.3,"DuRetrieval":86.43,"EcomRetrieval":62.64,"MedicalRetrieval":58.27,"MMarcoRetrieval":78.17,"T2Retrieval":82.11,"VideoRetrieval":67.96}
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45 |
{"index":24,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-zh-v1.5\">bge-base-zh-v1.5<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":69.49,"CmedqaRetrieval":41.61,"CovidRetrieval":74.7,"DuRetrieval":85.07,"EcomRetrieval":64.25,"MedicalRetrieval":56.51,"MMarcoRetrieval":77.69,"T2Retrieval":83.71,"VideoRetrieval":72.35}
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{"index":292,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":69.4,"CmedqaRetrieval":39.15,"CovidRetrieval":81.22,"DuRetrieval":84.57,"EcomRetrieval":63.95,"MedicalRetrieval":57.12,"MMarcoRetrieval":77.96,"T2Retrieval":80.59,"VideoRetrieval":70.62}
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{"index":211,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":69.4,"CmedqaRetrieval":39.15,"CovidRetrieval":81.22,"DuRetrieval":84.57,"EcomRetrieval":63.95,"MedicalRetrieval":57.12,"MMarcoRetrieval":77.96,"T2Retrieval":80.59,"VideoRetrieval":70.62}
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48 |
{"index":128,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/EminEmbed-multilingual-v1.0\">EminEmbed-multilingual-v1.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.3,"CmedqaRetrieval":40.68,"CovidRetrieval":81.63,"DuRetrieval":81.62,"EcomRetrieval":61.99,"MedicalRetrieval":56.74,"MMarcoRetrieval":78.07,"T2Retrieval":83.87,"VideoRetrieval":69.8}
|
49 |
{"index":44,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh-small\">Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Embedding Dimensions":768,"Max Tokens":1024,"Average":67.7,"CmedqaRetrieval":42.69,"CovidRetrieval":75.63,"DuRetrieval":79.89,"EcomRetrieval":64.48,"MedicalRetrieval":59.95,"MMarcoRetrieval":70.75,"T2Retrieval":79.9,"VideoRetrieval":68.3}
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50 |
{"index":300,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":65.5,"CmedqaRetrieval":42.46,"CovidRetrieval":61.65,"DuRetrieval":78.57,"EcomRetrieval":57.91,"MedicalRetrieval":62.64,"MMarcoRetrieval":75.0,"T2Retrieval":78.12,"VideoRetrieval":67.69}
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boards_data/zh/data_tasks/STS/default.jsonl
CHANGED
@@ -18,8 +18,8 @@
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|
18 |
{"index":139,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":62.09,"AFQMC":58.81,"ATEC":57.95,"BQ":70.37,"LCQMC":78.17,"PAWSX":45.51,"QBQTC":37.31,"STS22 (zh)":65.85,"STSB":82.73}
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19 |
{"index":16,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":60.96,"AFQMC":58.42,"ATEC":55.65,"BQ":73.85,"LCQMC":75.39,"PAWSX":42.46,"QBQTC":35.15,"STS22 (zh)":67.4,"STSB":79.4}
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20 |
{"index":331,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":60.07,"AFQMC":50.8,"ATEC":53.23,"BQ":66.49,"LCQMC":76.6,"PAWSX":47.56,"QBQTC":39.96,"STS22 (zh)":65.78,"STSB":80.14}
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21 |
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{"index":
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22 |
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{"index":
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23 |
{"index":188,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":58.66,"AFQMC":49.95,"ATEC":53.12,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.73,"STS22 (zh)":68.87,"STSB":79.37}
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24 |
{"index":22,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":58.66,"AFQMC":49.94,"ATEC":53.11,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.74,"STS22 (zh)":68.88,"STSB":79.37}
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@@ -47,8 +47,8 @@
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-
{"index":
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{"index":
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{"index":34,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":49.1,"AFQMC":33.42,"ATEC":43.01,"BQ":55.22,"LCQMC":72.19,"PAWSX":9.26,"QBQTC":35.29,"STS22 (zh)":67.72,"STSB":76.73}
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53 |
{"index":197,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":48.44,"AFQMC":33.01,"ATEC":39.8,"BQ":46.44,"LCQMC":75.95,"PAWSX":14.63,"QBQTC":29.77,"STS22 (zh)":66.82,"STSB":81.08}
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54 |
{"index":196,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":46.49,"AFQMC":29.66,"ATEC":37.01,"BQ":45.45,"LCQMC":74.15,"PAWSX":12.13,"QBQTC":28.81,"STS22 (zh)":65.63,"STSB":79.04}
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18 |
{"index":139,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":1024,"Average":62.09,"AFQMC":58.81,"ATEC":57.95,"BQ":70.37,"LCQMC":78.17,"PAWSX":45.51,"QBQTC":37.31,"STS22 (zh)":65.85,"STSB":82.73}
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19 |
{"index":16,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":60.96,"AFQMC":58.42,"ATEC":55.65,"BQ":73.85,"LCQMC":75.39,"PAWSX":42.46,"QBQTC":35.15,"STS22 (zh)":67.4,"STSB":79.4}
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20 |
{"index":331,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":60.07,"AFQMC":50.8,"ATEC":53.23,"BQ":66.49,"LCQMC":76.6,"PAWSX":47.56,"QBQTC":39.96,"STS22 (zh)":65.78,"STSB":80.14}
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21 |
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{"index":292,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":59.39,"AFQMC":50.59,"ATEC":51.29,"BQ":66.07,"LCQMC":75.74,"PAWSX":41.49,"QBQTC":38.11,"STS22 (zh)":69.25,"STSB":82.56}
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22 |
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{"index":211,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":59.39,"AFQMC":50.59,"ATEC":51.29,"BQ":66.07,"LCQMC":75.74,"PAWSX":41.49,"QBQTC":38.11,"STS22 (zh)":69.25,"STSB":82.56}
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23 |
{"index":188,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":58.66,"AFQMC":49.95,"ATEC":53.12,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.73,"STS22 (zh)":68.87,"STSB":79.37}
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24 |
{"index":22,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":58.66,"AFQMC":49.94,"ATEC":53.11,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.74,"STS22 (zh)":68.88,"STSB":79.37}
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25 |
{"index":21,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":58.66,"AFQMC":49.94,"ATEC":53.11,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.74,"STS22 (zh)":68.88,"STSB":79.36}
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47 |
{"index":228,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-base\">m3e-base<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":50.47,"AFQMC":35.87,"ATEC":41.27,"BQ":63.81,"LCQMC":74.88,"PAWSX":12.19,"QBQTC":32.07,"STS22 (zh)":66.73,"STSB":76.97}
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48 |
{"index":229,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/moka-ai\/m3e-large\">m3e-large<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":50.42,"AFQMC":36.53,"ATEC":41.8,"BQ":65.2,"LCQMC":74.2,"PAWSX":15.95,"QBQTC":32.65,"STS22 (zh)":62.91,"STSB":74.16}
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49 |
{"index":193,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":50.22,"AFQMC":38.99,"ATEC":42.84,"BQ":50.63,"LCQMC":75.48,"PAWSX":16.81,"QBQTC":31.8,"STS22 (zh)":63.4,"STSB":81.81}
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50 |
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{"index":302,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":49.72,"AFQMC":36.69,"ATEC":45.77,"BQ":49.64,"LCQMC":72.72,"PAWSX":12.77,"QBQTC":36.97,"STS22 (zh)":66.72,"STSB":76.51}
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51 |
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{"index":300,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":49.72,"AFQMC":36.69,"ATEC":45.77,"BQ":49.64,"LCQMC":72.72,"PAWSX":12.77,"QBQTC":36.97,"STS22 (zh)":66.72,"STSB":76.51}
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52 |
{"index":34,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":49.1,"AFQMC":33.42,"ATEC":43.01,"BQ":55.22,"LCQMC":72.19,"PAWSX":9.26,"QBQTC":35.29,"STS22 (zh)":67.72,"STSB":76.73}
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53 |
{"index":197,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":48.44,"AFQMC":33.01,"ATEC":39.8,"BQ":46.44,"LCQMC":75.95,"PAWSX":14.63,"QBQTC":29.77,"STS22 (zh)":66.82,"STSB":81.08}
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54 |
{"index":196,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":46.49,"AFQMC":29.66,"ATEC":37.01,"BQ":45.45,"LCQMC":74.15,"PAWSX":12.13,"QBQTC":28.81,"STS22 (zh)":65.63,"STSB":79.04}
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