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Automated Leaderboard Update
Browse files- all_data_tasks/0/default.jsonl +0 -0
- all_data_tasks/1/default.jsonl +0 -0
- all_data_tasks/16/default.jsonl +2 -2
- all_data_tasks/18/default.jsonl +2 -2
- all_data_tasks/2/default.jsonl +0 -0
- all_data_tasks/20/default.jsonl +59 -59
- all_data_tasks/22/default.jsonl +5 -5
- all_data_tasks/3/default.jsonl +0 -0
- all_data_tasks/4/default.jsonl +0 -0
- all_data_tasks/40/default.jsonl +0 -0
- all_data_tasks/5/default.jsonl +0 -0
- all_data_tasks/6/default.jsonl +73 -72
- boards_data/en/data_overall/default.jsonl +0 -0
- boards_data/en/data_tasks/Classification/default.jsonl +0 -0
- boards_data/en/data_tasks/Clustering/default.jsonl +0 -0
- boards_data/en/data_tasks/PairClassification/default.jsonl +0 -0
- boards_data/en/data_tasks/Reranking/default.jsonl +0 -0
- boards_data/en/data_tasks/Retrieval/default.jsonl +0 -0
- boards_data/en/data_tasks/STS/default.jsonl +0 -0
- boards_data/en/data_tasks/Summarization/default.jsonl +73 -72
- boards_data/fr/data_overall/default.jsonl +58 -58
- boards_data/fr/data_tasks/Classification/default.jsonl +2 -2
- boards_data/fr/data_tasks/PairClassification/default.jsonl +2 -2
- boards_data/fr/data_tasks/Retrieval/default.jsonl +59 -59
- boards_data/fr/data_tasks/Summarization/default.jsonl +5 -5
- boards_data/other-sts/data_tasks/STS/default.jsonl +0 -0
all_data_tasks/0/default.jsonl
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all_data_tasks/1/default.jsonl
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all_data_tasks/16/default.jsonl
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{"index":81,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/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":50.9,"AmazonReviewsClassification (fr)":27.05,"MasakhaNEWSClassification (fra)":75.62,"MassiveIntentClassification (fr)":42.64,"MassiveScenarioClassification (fr)":49.92,"MTOPDomainClassification (fr)":72.97,"MTOPIntentClassification (fr)":37.18}
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{"index":74,"Rank":53,"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":50.7,"AmazonReviewsClassification (fr)":26.88,"MasakhaNEWSClassification (fra)":68.84,"MassiveIntentClassification (fr)":42.55,"MassiveScenarioClassification (fr)":51.14,"MTOPDomainClassification (fr)":75.1,"MTOPIntentClassification (fr)":39.67}
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{"index":55,"Rank":54,"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":48.37,"AmazonReviewsClassification (fr)":29.02,"MasakhaNEWSClassification (fra)":75.69,"MassiveIntentClassification (fr)":38.01,"MassiveScenarioClassification (fr)":43.63,"MTOPDomainClassification (fr)":64.49,"MTOPIntentClassification (fr)":39.4}
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{"index":
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{"index":
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{"index":25,"Rank":57,"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":46.09,"AmazonReviewsClassification (fr)":29.39,"MasakhaNEWSClassification (fra)":63.91,"MassiveIntentClassification (fr)":37.3,"MassiveScenarioClassification (fr)":44.47,"MTOPDomainClassification (fr)":63.63,"MTOPIntentClassification (fr)":37.86}
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{"index":24,"Rank":58,"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":46.09,"AmazonReviewsClassification (fr)":29.35,"MasakhaNEWSClassification (fra)":63.89,"MassiveIntentClassification (fr)":37.28,"MassiveScenarioClassification (fr)":44.47,"MTOPDomainClassification (fr)":63.7,"MTOPIntentClassification (fr)":37.85}
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{"index":21,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/FacebookAI\/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":31.21,"AmazonReviewsClassification (fr)":26.75,"MasakhaNEWSClassification (fra)":60.5,"MassiveIntentClassification (fr)":13.58,"MassiveScenarioClassification (fr)":23.21,"MTOPDomainClassification (fr)":43.83,"MTOPIntentClassification (fr)":19.38}
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{"index":81,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/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":50.9,"AmazonReviewsClassification (fr)":27.05,"MasakhaNEWSClassification (fra)":75.62,"MassiveIntentClassification (fr)":42.64,"MassiveScenarioClassification (fr)":49.92,"MTOPDomainClassification (fr)":72.97,"MTOPIntentClassification (fr)":37.18}
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{"index":74,"Rank":53,"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":50.7,"AmazonReviewsClassification (fr)":26.88,"MasakhaNEWSClassification (fra)":68.84,"MassiveIntentClassification (fr)":42.55,"MassiveScenarioClassification (fr)":51.14,"MTOPDomainClassification (fr)":75.1,"MTOPIntentClassification (fr)":39.67}
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{"index":55,"Rank":54,"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":48.37,"AmazonReviewsClassification (fr)":29.02,"MasakhaNEWSClassification (fra)":75.69,"MassiveIntentClassification (fr)":38.01,"MassiveScenarioClassification (fr)":43.63,"MTOPDomainClassification (fr)":64.49,"MTOPIntentClassification (fr)":39.4}
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{"index":54,"Rank":55,"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":46.1,"AmazonReviewsClassification (fr)":29.39,"MasakhaNEWSClassification (fra)":64.0,"MassiveIntentClassification (fr)":37.3,"MassiveScenarioClassification (fr)":44.47,"MTOPDomainClassification (fr)":63.61,"MTOPIntentClassification (fr)":37.84}
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{"index":23,"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":46.1,"AmazonReviewsClassification (fr)":29.38,"MasakhaNEWSClassification (fra)":63.93,"MassiveIntentClassification (fr)":37.28,"MassiveScenarioClassification (fr)":44.5,"MTOPDomainClassification (fr)":63.65,"MTOPIntentClassification (fr)":37.87}
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{"index":25,"Rank":57,"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":46.09,"AmazonReviewsClassification (fr)":29.39,"MasakhaNEWSClassification (fra)":63.91,"MassiveIntentClassification (fr)":37.3,"MassiveScenarioClassification (fr)":44.47,"MTOPDomainClassification (fr)":63.63,"MTOPIntentClassification (fr)":37.86}
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{"index":24,"Rank":58,"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":46.09,"AmazonReviewsClassification (fr)":29.35,"MasakhaNEWSClassification (fra)":63.89,"MassiveIntentClassification (fr)":37.28,"MassiveScenarioClassification (fr)":44.47,"MTOPDomainClassification (fr)":63.7,"MTOPIntentClassification (fr)":37.85}
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{"index":21,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/FacebookAI\/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":31.21,"AmazonReviewsClassification (fr)":26.75,"MasakhaNEWSClassification (fra)":60.5,"MassiveIntentClassification (fr)":13.58,"MassiveScenarioClassification (fr)":23.21,"MTOPDomainClassification (fr)":43.83,"MTOPIntentClassification (fr)":19.38}
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{"index":75,"Rank":51,"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}
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{"index":73,"Rank":52,"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}
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{"index":74,"Rank":53,"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}
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{"index":54,"Rank":56,"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}
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{"index":24,"Rank":57,"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}
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{"index":55,"Rank":58,"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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{"index":75,"Rank":51,"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}
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{"index":73,"Rank":52,"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}
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{"index":74,"Rank":53,"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}
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{"index":25,"Rank":54,"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}
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{"index":23,"Rank":55,"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}
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{"index":54,"Rank":56,"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}
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{"index":24,"Rank":57,"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}
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{"index":55,"Rank":58,"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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{"index":63,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":53.48,"AlloprofRetrieval":54.28,"BSARDRetrieval":24.76,"MintakaRetrieval (fr)":26.91,"SyntecRetrieval":83.85,"XPQARetrieval (fr)":77.58}
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{"index":4,"Rank":5,"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}
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{"index":11,"Rank":6,"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}
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{"index":30,"Rank":9,"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}
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{"index":94,"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}
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{"index":28,"Rank":71,"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":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
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{"index":34,"Rank":73,"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":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
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| 70 |
{"index":35,"Rank":74,"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,"Average":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
|
|
|
| 4 |
{"index":63,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":53.48,"AlloprofRetrieval":54.28,"BSARDRetrieval":24.76,"MintakaRetrieval (fr)":26.91,"SyntecRetrieval":83.85,"XPQARetrieval (fr)":77.58}
|
| 5 |
{"index":4,"Rank":5,"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}
|
| 6 |
{"index":11,"Rank":6,"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}
|
| 7 |
+
{"index":9,"Rank":7,"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}
|
| 8 |
+
{"index":69,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":52.56,"AlloprofRetrieval":57.89,"BSARDRetrieval":6.3,"MintakaRetrieval (fr)":42.56,"SyntecRetrieval":90.47,"XPQARetrieval (fr)":65.58}
|
| 9 |
{"index":30,"Rank":9,"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}
|
| 10 |
{"index":94,"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":27,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":47.85,"AlloprofRetrieval":46.75,"BSARDRetrieval":20.47,"MintakaRetrieval (fr)":27.4,"SyntecRetrieval":82.44,"XPQARetrieval (fr)":62.19}
|
| 12 |
+
{"index":0,"Rank":12,"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}
|
| 13 |
+
{"index":39,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/OrdalieTech\/Solon-embeddings-large-0.1\">Solon-embeddings-large-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":46.78,"AlloprofRetrieval":46.94,"BSARDRetrieval":2.08,"MintakaRetrieval (fr)":30.07,"SyntecRetrieval":84.6,"XPQARetrieval (fr)":70.22}
|
| 14 |
+
{"index":31,"Rank":14,"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":46.68,"AlloprofRetrieval":44.42,"BSARDRetrieval":12.01,"MintakaRetrieval (fr)":25.19,"SyntecRetrieval":82.86,"XPQARetrieval (fr)":68.91}
|
| 15 |
+
{"index":3,"Rank":15,"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":45.33,"AlloprofRetrieval":52.61,"BSARDRetrieval":0.29,"MintakaRetrieval (fr)":19.05,"SyntecRetrieval":82.77,"XPQARetrieval (fr)":71.95}
|
| 16 |
+
{"index":29,"Rank":16,"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,"Average":44.99,"AlloprofRetrieval":41.26,"BSARDRetrieval":12.22,"MintakaRetrieval (fr)":27.6,"SyntecRetrieval":79.68,"XPQARetrieval (fr)":64.21}
|
| 17 |
+
{"index":67,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.3\">sentence_croissant_alpha_v0.3<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":44.9,"AlloprofRetrieval":49.84,"BSARDRetrieval":0.22,"MintakaRetrieval (fr)":31.25,"SyntecRetrieval":76.63,"XPQARetrieval (fr)":66.55}
|
| 18 |
+
{"index":68,"Rank":18,"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,"Average":44.41,"AlloprofRetrieval":49.05,"BSARDRetrieval":0.16,"MintakaRetrieval (fr)":31.06,"SyntecRetrieval":76.96,"XPQARetrieval (fr)":64.8}
|
| 19 |
+
{"index":66,"Rank":19,"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,"Average":43.85,"AlloprofRetrieval":47.69,"BSARDRetrieval":1.75,"MintakaRetrieval (fr)":27.88,"SyntecRetrieval":77.67,"XPQARetrieval (fr)":64.27}
|
| 20 |
+
{"index":87,"Rank":20,"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":43.84,"AlloprofRetrieval":45.75,"BSARDRetrieval":3.33,"MintakaRetrieval (fr)":34.93,"SyntecRetrieval":78.97,"XPQARetrieval (fr)":56.2}
|
| 21 |
+
{"index":64,"Rank":21,"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,"Average":43.58,"AlloprofRetrieval":45.1,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":25.17,"SyntecRetrieval":79.14,"XPQARetrieval (fr)":68.49}
|
| 22 |
+
{"index":93,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":42.96,"AlloprofRetrieval":38.06,"BSARDRetrieval":11.04,"MintakaRetrieval (fr)":27.48,"SyntecRetrieval":78.2,"XPQARetrieval (fr)":60.02}
|
| 23 |
+
{"index":32,"Rank":23,"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":42.92,"AlloprofRetrieval":39.89,"BSARDRetrieval":8.41,"MintakaRetrieval (fr)":25.52,"SyntecRetrieval":77.57,"XPQARetrieval (fr)":63.2}
|
| 24 |
+
{"index":58,"Rank":24,"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":42.17,"AlloprofRetrieval":38.15,"BSARDRetrieval":0.27,"MintakaRetrieval (fr)":25.2,"SyntecRetrieval":81.07,"XPQARetrieval (fr)":66.15}
|
| 25 |
+
{"index":57,"Rank":25,"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":41.19,"AlloprofRetrieval":36.21,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":23.46,"SyntecRetrieval":80.49,"XPQARetrieval (fr)":65.81}
|
| 26 |
+
{"index":65,"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,"Average":41.15,"AlloprofRetrieval":45.41,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":25.7,"SyntecRetrieval":75.75,"XPQARetrieval (fr)":58.88}
|
| 27 |
+
{"index":1,"Rank":27,"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":4000,"Average":40.81,"AlloprofRetrieval":45.5,"BSARDRetrieval":0.15,"MintakaRetrieval (fr)":15.51,"SyntecRetrieval":75.83,"XPQARetrieval (fr)":67.07}
|
| 28 |
+
{"index":17,"Rank":28,"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":40.42,"AlloprofRetrieval":38.36,"BSARDRetrieval":0.14,"MintakaRetrieval (fr)":25.44,"SyntecRetrieval":79.27,"XPQARetrieval (fr)":58.87}
|
| 29 |
+
{"index":47,"Rank":29,"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":40.04,"AlloprofRetrieval":31.62,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":21.87,"SyntecRetrieval":81.11,"XPQARetrieval (fr)":65.62}
|
| 30 |
+
{"index":86,"Rank":30,"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":39.69,"AlloprofRetrieval":40.38,"BSARDRetrieval":0.14,"MintakaRetrieval (fr)":31.54,"SyntecRetrieval":74.24,"XPQARetrieval (fr)":52.14}
|
| 31 |
+
{"index":91,"Rank":31,"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,"Average":38.16,"AlloprofRetrieval":35.27,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":26.12,"SyntecRetrieval":69.82,"XPQARetrieval (fr)":59.59}
|
| 32 |
+
{"index":83,"Rank":32,"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":38.13,"AlloprofRetrieval":30.8,"BSARDRetrieval":13.19,"MintakaRetrieval (fr)":24.45,"SyntecRetrieval":76.0,"XPQARetrieval (fr)":46.22}
|
| 33 |
+
{"index":92,"Rank":33,"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,"Average":37.78,"AlloprofRetrieval":33.78,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":26.21,"SyntecRetrieval":63.69,"XPQARetrieval (fr)":65.21}
|
| 34 |
+
{"index":40,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Wissam42\/sentence-croissant-llm-base\">sentence-croissant-llm-base<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":36.81,"AlloprofRetrieval":29.97,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":21.31,"SyntecRetrieval":74.2,"XPQARetrieval (fr)":58.57}
|
| 35 |
+
{"index":60,"Rank":35,"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":36.55,"AlloprofRetrieval":27.01,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":22.53,"SyntecRetrieval":75.76,"XPQARetrieval (fr)":57.47}
|
| 36 |
+
{"index":16,"Rank":36,"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":36.1,"AlloprofRetrieval":35.39,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":23.0,"SyntecRetrieval":76.88,"XPQARetrieval (fr)":45.23}
|
| 37 |
+
{"index":85,"Rank":37,"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":35.66,"AlloprofRetrieval":34.52,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":23.92,"SyntecRetrieval":71.05,"XPQARetrieval (fr)":48.79}
|
| 38 |
+
{"index":73,"Rank":38,"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":34.44,"AlloprofRetrieval":33.2,"BSARDRetrieval":6.24,"MintakaRetrieval (fr)":16.08,"SyntecRetrieval":60.8,"XPQARetrieval (fr)":55.9}
|
| 39 |
+
{"index":78,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":512,"Max Tokens":512,"Average":33.22,"AlloprofRetrieval":26.99,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":22.55,"SyntecRetrieval":65.34,"XPQARetrieval (fr)":51.2}
|
| 40 |
+
{"index":46,"Rank":40,"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":32.37,"AlloprofRetrieval":21.94,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":13.36,"SyntecRetrieval":68.62,"XPQARetrieval (fr)":57.92}
|
| 41 |
+
{"index":84,"Rank":41,"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":32.18,"AlloprofRetrieval":27.52,"BSARDRetrieval":0.16,"MintakaRetrieval (fr)":21.04,"SyntecRetrieval":67.0,"XPQARetrieval (fr)":45.19}
|
| 42 |
+
{"index":82,"Rank":42,"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":31.24,"AlloprofRetrieval":26.63,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":21.53,"SyntecRetrieval":65.54,"XPQARetrieval (fr)":42.51}
|
| 43 |
+
{"index":74,"Rank":43,"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":30.87,"AlloprofRetrieval":28.41,"BSARDRetrieval":4.8,"MintakaRetrieval (fr)":9.19,"SyntecRetrieval":60.15,"XPQARetrieval (fr)":51.79}
|
| 44 |
+
{"index":81,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/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":30.69,"AlloprofRetrieval":30.23,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":16.31,"SyntecRetrieval":58.07,"XPQARetrieval (fr)":48.83}
|
| 45 |
+
{"index":72,"Rank":45,"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,"Average":28.47,"AlloprofRetrieval":19.77,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":15.53,"SyntecRetrieval":55.31,"XPQARetrieval (fr)":51.74}
|
| 46 |
+
{"index":90,"Rank":46,"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":256,"Average":24.76,"AlloprofRetrieval":18.9,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":14.81,"SyntecRetrieval":49.69,"XPQARetrieval (fr)":40.4}
|
| 47 |
+
{"index":56,"Rank":47,"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":23.44,"AlloprofRetrieval":16.46,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":3.57,"SyntecRetrieval":55.9,"XPQARetrieval (fr)":41.29}
|
| 48 |
+
{"index":61,"Rank":48,"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":17.91,"AlloprofRetrieval":12.37,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":2.78,"SyntecRetrieval":40.57,"XPQARetrieval (fr)":33.82}
|
| 49 |
+
{"index":6,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Embedding Dimensions":1024,"Max Tokens":"N\/A","Average":16.19,"AlloprofRetrieval":3.1,"BSARDRetrieval":0.36,"MintakaRetrieval (fr)":6.31,"SyntecRetrieval":28.58,"XPQARetrieval (fr)":42.59}
|
| 50 |
+
{"index":55,"Rank":50,"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":13.89,"AlloprofRetrieval":5.51,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":2.87,"SyntecRetrieval":34.95,"XPQARetrieval (fr)":26.12}
|
| 51 |
+
{"index":8,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AdrienB134\/llm2vec-occiglot-mntp\">llm2vec-occiglot-mntp<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":12.94,"AlloprofRetrieval":6.83,"BSARDRetrieval":2.18,"MintakaRetrieval (fr)":1.66,"SyntecRetrieval":27.64,"XPQARetrieval (fr)":26.39}
|
| 52 |
+
{"index":54,"Rank":52,"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":8.52,"AlloprofRetrieval":1.63,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":3.55,"SyntecRetrieval":18.95,"XPQARetrieval (fr)":18.49}
|
| 53 |
+
{"index":25,"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":8.51,"AlloprofRetrieval":1.6,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":3.55,"SyntecRetrieval":18.95,"XPQARetrieval (fr)":18.46}
|
| 54 |
+
{"index":23,"Rank":54,"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":8.5,"AlloprofRetrieval":1.6,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":3.55,"SyntecRetrieval":18.95,"XPQARetrieval (fr)":18.39}
|
| 55 |
+
{"index":24,"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":8.49,"AlloprofRetrieval":1.61,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":3.55,"SyntecRetrieval":18.95,"XPQARetrieval (fr)":18.35}
|
| 56 |
+
{"index":62,"Rank":56,"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":7.98,"AlloprofRetrieval":1.98,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":0.48,"SyntecRetrieval":24.45,"XPQARetrieval (fr)":12.98}
|
| 57 |
+
{"index":52,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_uncased\">flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":6.73,"AlloprofRetrieval":1.72,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":0.51,"SyntecRetrieval":22.33,"XPQARetrieval (fr)":9.09}
|
| 58 |
+
{"index":51,"Rank":58,"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":5.87,"AlloprofRetrieval":1.63,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":0.58,"SyntecRetrieval":20.56,"XPQARetrieval (fr)":6.59}
|
| 59 |
+
{"index":22,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/FacebookAI\/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":4.14,"AlloprofRetrieval":0.52,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":0.9,"SyntecRetrieval":6.6,"XPQARetrieval (fr)":12.7}
|
| 60 |
+
{"index":21,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/FacebookAI\/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":3.2,"AlloprofRetrieval":0.16,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":0.88,"SyntecRetrieval":3.33,"XPQARetrieval (fr)":11.65}
|
| 61 |
+
{"index":53,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_large_cased\">flaubert_large_cased<\/a>","Model Size (Million Parameters)":372,"Memory Usage (GB, fp32)":1.39,"Embedding Dimensions":1024,"Max Tokens":512,"Average":1.22,"AlloprofRetrieval":0.58,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":0.26,"SyntecRetrieval":1.58,"XPQARetrieval (fr)":3.69}
|
| 62 |
+
{"index":2,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"Average":"","AlloprofRetrieval":73.76,"BSARDRetrieval":44.87,"MintakaRetrieval (fr)":44.56,"SyntecRetrieval":87.54,"XPQARetrieval (fr)":""}
|
| 63 |
+
{"index":7,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AdrienB134\/llm2vec-croissant-mntp\">llm2vec-croissant-mntp<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
| 64 |
+
{"index":18,"Rank":67,"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,"Average":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
| 65 |
+
{"index":19,"Rank":68,"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,"Average":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
| 66 |
+
{"index":20,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased-sentence\">rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
| 67 |
+
{"index":26,"Rank":70,"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":"","AlloprofRetrieval":55.42,"BSARDRetrieval":26.61,"MintakaRetrieval (fr)":51.68,"SyntecRetrieval":89.48,"XPQARetrieval (fr)":""}
|
| 68 |
{"index":28,"Rank":71,"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":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
| 69 |
{"index":34,"Rank":73,"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":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
| 70 |
{"index":35,"Rank":74,"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,"Average":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
all_data_tasks/22/default.jsonl
CHANGED
|
@@ -13,15 +13,15 @@
|
|
| 13 |
{"index":12,"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":51,"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":58,"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":
|
| 17 |
-
{"index":
|
| 18 |
{"index":57,"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,"SummEvalFr":30.76}
|
| 19 |
{"index":55,"Rank":19,"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,"SummEvalFr":30.72}
|
| 20 |
{"index":63,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"SummEvalFr":30.71}
|
| 21 |
{"index":27,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"SummEvalFr":30.52}
|
| 22 |
-
{"index":
|
| 23 |
-
{"index":
|
| 24 |
-
{"index":
|
| 25 |
{"index":87,"Rank":25,"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}
|
| 26 |
{"index":4,"Rank":26,"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}
|
| 27 |
{"index":30,"Rank":27,"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}
|
|
|
|
| 13 |
{"index":12,"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":51,"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":58,"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":47,"Rank":16,"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}
|
| 17 |
+
{"index":1,"Rank":17,"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":4000,"SummEvalFr":30.88}
|
| 18 |
{"index":57,"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,"SummEvalFr":30.76}
|
| 19 |
{"index":55,"Rank":19,"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,"SummEvalFr":30.72}
|
| 20 |
{"index":63,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"SummEvalFr":30.71}
|
| 21 |
{"index":27,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"SummEvalFr":30.52}
|
| 22 |
+
{"index":69,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEvalFr":30.5}
|
| 23 |
+
{"index":9,"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,"SummEvalFr":30.5}
|
| 24 |
+
{"index":94,"Rank":24,"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,"SummEvalFr":30.5}
|
| 25 |
{"index":87,"Rank":25,"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}
|
| 26 |
{"index":4,"Rank":26,"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}
|
| 27 |
{"index":30,"Rank":27,"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}
|
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all_data_tasks/6/default.jsonl
CHANGED
|
@@ -9,20 +9,20 @@
|
|
| 9 |
{"index":58,"Rank":9,"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,"SummEval":32.12}
|
| 10 |
{"index":181,"Rank":10,"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,"SummEval":32.06}
|
| 11 |
{"index":120,"Rank":11,"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,"SummEval":32.03}
|
| 12 |
-
{"index":
|
| 13 |
{"index":163,"Rank":13,"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}
|
| 14 |
{"index":115,"Rank":14,"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}
|
| 15 |
{"index":66,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/dunzhang-stella_en_400M_v5\">dunzhang-stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"SummEval":31.66}
|
| 16 |
{"index":153,"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}
|
| 17 |
-
{"index":
|
| 18 |
{"index":23,"Rank":18,"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}
|
| 19 |
{"index":194,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/katanemo\/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}
|
| 20 |
-
{"index":
|
| 21 |
-
{"index":
|
| 22 |
{"index":183,"Rank":22,"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}
|
| 23 |
{"index":188,"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}
|
| 24 |
-
{"index":
|
| 25 |
-
{"index":
|
| 26 |
{"index":138,"Rank":26,"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}
|
| 27 |
{"index":187,"Rank":27,"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}
|
| 28 |
{"index":209,"Rank":28,"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}
|
|
@@ -33,9 +33,9 @@
|
|
| 33 |
{"index":92,"Rank":33,"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}
|
| 34 |
{"index":206,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/minishlab\/M2V_base_glove\">M2V_base_glove<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":256,"Max Tokens":1000000,"SummEval":31.45}
|
| 35 |
{"index":72,"Rank":35,"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}
|
| 36 |
-
{"index":
|
| 37 |
{"index":171,"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}
|
| 38 |
-
{"index":
|
| 39 |
{"index":70,"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}
|
| 40 |
{"index":113,"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}
|
| 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}
|
|
@@ -52,23 +52,23 @@
|
|
| 52 |
{"index":227,"Rank":52,"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}
|
| 53 |
{"index":204,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.17}
|
| 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}
|
| 55 |
-
{"index":
|
| 56 |
{"index":18,"Rank":56,"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}
|
| 57 |
-
{"index":
|
| 58 |
{"index":172,"Rank":58,"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}
|
| 59 |
{"index":117,"Rank":59,"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}
|
| 60 |
{"index":107,"Rank":60,"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}
|
| 61 |
-
{"index":
|
| 62 |
{"index":60,"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":132,"Rank":63,"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}
|
| 64 |
-
{"index":
|
| 65 |
{"index":179,"Rank":65,"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}
|
| 66 |
{"index":21,"Rank":66,"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}
|
| 67 |
{"index":134,"Rank":67,"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}
|
| 68 |
-
{"index":
|
| 69 |
{"index":150,"Rank":69,"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)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.05}
|
| 70 |
{"index":91,"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":
|
| 72 |
{"index":9,"Rank":72,"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}
|
| 73 |
{"index":166,"Rank":73,"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}
|
| 74 |
{"index":195,"Rank":74,"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}
|
|
@@ -84,12 +84,12 @@
|
|
| 84 |
{"index":129,"Rank":84,"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,"SummEval":30.87}
|
| 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":111,"Rank":86,"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}
|
| 87 |
-
{"index":
|
| 88 |
{"index":108,"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":198,"Rank":89,"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}
|
| 90 |
-
{"index":
|
| 91 |
-
{"index":
|
| 92 |
-
{"index":
|
| 93 |
{"index":22,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-en-icl\">bge-en-icl<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.77}
|
| 94 |
{"index":192,"Rank":94,"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}
|
| 95 |
{"index":220,"Rank":95,"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}
|
|
@@ -98,24 +98,24 @@
|
|
| 98 |
{"index":106,"Rank":98,"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}
|
| 99 |
{"index":228,"Rank":99,"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}
|
| 100 |
{"index":96,"Rank":100,"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}
|
| 101 |
-
{"index":
|
| 102 |
-
{"index":
|
| 103 |
{"index":109,"Rank":103,"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}
|
| 104 |
{"index":180,"Rank":104,"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}
|
| 105 |
{"index":133,"Rank":105,"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}
|
| 106 |
{"index":20,"Rank":106,"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}
|
| 107 |
-
{"index":
|
| 108 |
{"index":155,"Rank":108,"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}
|
| 109 |
{"index":190,"Rank":109,"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}
|
| 110 |
{"index":86,"Rank":110,"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}
|
| 111 |
-
{"index":
|
| 112 |
{"index":223,"Rank":112,"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":175,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":30.46}
|
| 114 |
{"index":88,"Rank":114,"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}
|
| 115 |
-
{"index":
|
| 116 |
{"index":34,"Rank":116,"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}
|
| 117 |
{"index":122,"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":
|
| 119 |
{"index":225,"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":104,"Rank":120,"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}
|
| 121 |
{"index":94,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":30.39}
|
|
@@ -132,66 +132,66 @@
|
|
| 132 |
{"index":59,"Rank":132,"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}
|
| 133 |
{"index":196,"Rank":133,"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}
|
| 134 |
{"index":173,"Rank":134,"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}
|
| 135 |
-
{"index":
|
| 136 |
{"index":74,"Rank":136,"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}
|
| 137 |
{"index":57,"Rank":137,"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}
|
| 138 |
{"index":169,"Rank":138,"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}
|
| 139 |
{"index":33,"Rank":139,"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":"","Max Tokens":"","SummEval":30.18}
|
| 140 |
{"index":97,"Rank":140,"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}
|
| 141 |
{"index":26,"Rank":141,"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}
|
| 142 |
-
{"index":
|
| 143 |
{"index":116,"Rank":143,"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}
|
| 144 |
{"index":218,"Rank":144,"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}
|
| 145 |
-
{"index":
|
| 146 |
{"index":207,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/minishlab\/M2V_base_glove_subword\">M2V_base_glove_subword<\/a>","Model Size (Million Parameters)":103,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":256,"Max Tokens":1000000,"SummEval":30.08}
|
| 147 |
{"index":222,"Rank":147,"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}
|
| 148 |
{"index":176,"Rank":148,"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}
|
| 149 |
{"index":75,"Rank":149,"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}
|
| 150 |
{"index":68,"Rank":150,"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}
|
| 151 |
{"index":73,"Rank":151,"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}
|
| 152 |
-
{"index":
|
| 153 |
-
{"index":
|
| 154 |
{"index":80,"Rank":154,"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}
|
| 155 |
-
{"index":
|
| 156 |
{"index":118,"Rank":156,"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}
|
| 157 |
{"index":189,"Rank":157,"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}
|
| 158 |
-
{"index":
|
| 159 |
{"index":185,"Rank":159,"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)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":29.85}
|
| 160 |
{"index":162,"Rank":160,"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}
|
| 161 |
{"index":128,"Rank":161,"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}
|
| 162 |
{"index":47,"Rank":162,"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}
|
| 163 |
{"index":161,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/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}
|
| 164 |
-
{"index":
|
| 165 |
{"index":191,"Rank":165,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"SummEval":29.71}
|
| 166 |
-
{"index":
|
| 167 |
{"index":89,"Rank":167,"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}
|
| 168 |
-
{"index":
|
| 169 |
-
{"index":
|
| 170 |
{"index":174,"Rank":170,"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}
|
| 171 |
{"index":221,"Rank":171,"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}
|
| 172 |
{"index":100,"Rank":172,"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}
|
| 173 |
-
{"index":
|
| 174 |
-
{"index":
|
| 175 |
{"index":119,"Rank":175,"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,"SummEval":29.47}
|
| 176 |
-
{"index":
|
| 177 |
{"index":87,"Rank":177,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test25\">test25<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.33}
|
| 178 |
{"index":208,"Rank":178,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/minishlab\/M2V_base_output\">M2V_base_output<\/a>","Model Size (Million Parameters)":8,"Memory Usage (GB, fp32)":0.03,"Embedding Dimensions":256,"Max Tokens":1000000,"SummEval":29.28}
|
| 179 |
{"index":62,"Rank":179,"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,"SummEval":29.23}
|
| 180 |
{"index":48,"Rank":180,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"SummEval":29.15}
|
| 181 |
{"index":197,"Rank":181,"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":"","SummEval":29.02}
|
| 182 |
{"index":142,"Rank":182,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-lunaris-text-embeddings\">cai-lunaris-text-embeddings<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":29.02}
|
| 183 |
-
{"index":
|
| 184 |
-
{"index":
|
| 185 |
{"index":99,"Rank":185,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-mpnet-base-all-nli-triplet\">Arabic-mpnet-base-all-nli-triplet<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":28.79}
|
| 186 |
{"index":69,"Rank":186,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"SummEval":28.49}
|
| 187 |
{"index":224,"Rank":187,"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,"SummEval":28.41}
|
| 188 |
-
{"index":
|
| 189 |
-
{"index":
|
| 190 |
{"index":127,"Rank":190,"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":"","SummEval":27.54}
|
| 191 |
-
{"index":
|
| 192 |
-
{"index":
|
| 193 |
{"index":11,"Rank":193,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Embedding Dimensions":1024,"Max Tokens":"N\/A","SummEval":26.8}
|
| 194 |
-
{"index":
|
| 195 |
{"index":2,"Rank":195,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"SummEval":""}
|
| 196 |
{"index":3,"Rank":196,"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":"","SummEval":""}
|
| 197 |
{"index":4,"Rank":197,"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":4000,"SummEval":""}
|
|
@@ -250,30 +250,31 @@
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|
| 250 |
{"index":203,"Rank":266,"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,"SummEval":""}
|
| 251 |
{"index":211,"Rank":268,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mukaj\/fin-mpnet-base\">fin-mpnet-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
| 252 |
{"index":229,"Rank":275,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Retriever-v1\">NV-Retriever-v1<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":512,"SummEval":""}
|
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-
{"index":230,"Rank":276,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/
|
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-
{"index":
|
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-
{"index":235,"Rank":278,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/qinxianliu\/
|
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-
{"index":
|
| 257 |
-
{"index":240,"Rank":280,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-
|
| 258 |
-
{"index":241,"Rank":281,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-
|
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-
{"index":242,"Rank":282,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-
|
| 260 |
-
{"index":243,"Rank":283,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-roberta-
|
| 261 |
-
{"index":244,"Rank":284,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/
|
| 262 |
-
{"index":245,"Rank":285,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/st-polish-paraphrase-from-
|
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-
{"index":
|
| 264 |
-
{"index":
|
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-
{"index":
|
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-
{"index":267,"Rank":289,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/
|
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-
{"index":
|
| 268 |
-
{"index":270,"Rank":291,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/
|
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-
{"index":
|
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-
{"index":
|
| 271 |
-
{"index":
|
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-
{"index":
|
| 273 |
-
{"index":292,"Rank":299,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-ada-
|
| 274 |
-
{"index":293,"Rank":300,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-
|
| 275 |
-
{"index":294,"Rank":301,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-
|
| 276 |
-
{"index":295,"Rank":302,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-
|
| 277 |
-
{"index":
|
| 278 |
-
{"index":298,"Rank":304,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-
|
| 279 |
-
{"index":299,"Rank":305,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-
|
|
|
|
|
|
| 9 |
{"index":58,"Rank":9,"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,"SummEval":32.12}
|
| 10 |
{"index":181,"Rank":10,"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,"SummEval":32.06}
|
| 11 |
{"index":120,"Rank":11,"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,"SummEval":32.03}
|
| 12 |
+
{"index":280,"Rank":12,"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}
|
| 13 |
{"index":163,"Rank":13,"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}
|
| 14 |
{"index":115,"Rank":14,"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}
|
| 15 |
{"index":66,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/dunzhang-stella_en_400M_v5\">dunzhang-stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"SummEval":31.66}
|
| 16 |
{"index":153,"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}
|
| 17 |
+
{"index":273,"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}
|
| 18 |
{"index":23,"Rank":18,"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}
|
| 19 |
{"index":194,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/katanemo\/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}
|
| 20 |
+
{"index":238,"Rank":20,"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}
|
| 21 |
+
{"index":239,"Rank":21,"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}
|
| 22 |
{"index":183,"Rank":22,"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}
|
| 23 |
{"index":188,"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}
|
| 24 |
+
{"index":283,"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}
|
| 25 |
+
{"index":262,"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}
|
| 26 |
{"index":138,"Rank":26,"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}
|
| 27 |
{"index":187,"Rank":27,"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}
|
| 28 |
{"index":209,"Rank":28,"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}
|
|
|
|
| 33 |
{"index":92,"Rank":33,"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}
|
| 34 |
{"index":206,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/minishlab\/M2V_base_glove\">M2V_base_glove<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":256,"Max Tokens":1000000,"SummEval":31.45}
|
| 35 |
{"index":72,"Rank":35,"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}
|
| 36 |
+
{"index":289,"Rank":36,"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}
|
| 37 |
{"index":171,"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}
|
| 38 |
+
{"index":263,"Rank":38,"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}
|
| 39 |
{"index":70,"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}
|
| 40 |
{"index":113,"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}
|
| 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}
|
|
|
|
| 52 |
{"index":227,"Rank":52,"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}
|
| 53 |
{"index":204,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.17}
|
| 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}
|
| 55 |
+
{"index":233,"Rank":55,"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}
|
| 56 |
{"index":18,"Rank":56,"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}
|
| 57 |
+
{"index":272,"Rank":57,"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}
|
| 58 |
{"index":172,"Rank":58,"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}
|
| 59 |
{"index":117,"Rank":59,"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}
|
| 60 |
{"index":107,"Rank":60,"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}
|
| 61 |
+
{"index":234,"Rank":61,"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}
|
| 62 |
{"index":60,"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":132,"Rank":63,"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}
|
| 64 |
+
{"index":304,"Rank":64,"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}
|
| 65 |
{"index":179,"Rank":65,"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}
|
| 66 |
{"index":21,"Rank":66,"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}
|
| 67 |
{"index":134,"Rank":67,"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}
|
| 68 |
+
{"index":247,"Rank":68,"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}
|
| 69 |
{"index":150,"Rank":69,"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)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.05}
|
| 70 |
{"index":91,"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":305,"Rank":71,"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}
|
| 72 |
{"index":9,"Rank":72,"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}
|
| 73 |
{"index":166,"Rank":73,"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}
|
| 74 |
{"index":195,"Rank":74,"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}
|
|
|
|
| 84 |
{"index":129,"Rank":84,"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,"SummEval":30.87}
|
| 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":111,"Rank":86,"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}
|
| 87 |
+
{"index":237,"Rank":87,"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}
|
| 88 |
{"index":108,"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":198,"Rank":89,"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}
|
| 90 |
+
{"index":249,"Rank":90,"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}
|
| 91 |
+
{"index":301,"Rank":91,"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}
|
| 92 |
+
{"index":278,"Rank":92,"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":22,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-en-icl\">bge-en-icl<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.77}
|
| 94 |
{"index":192,"Rank":94,"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}
|
| 95 |
{"index":220,"Rank":95,"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}
|
|
|
|
| 98 |
{"index":106,"Rank":98,"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}
|
| 99 |
{"index":228,"Rank":99,"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}
|
| 100 |
{"index":96,"Rank":100,"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}
|
| 101 |
+
{"index":261,"Rank":101,"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}
|
| 102 |
+
{"index":258,"Rank":102,"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}
|
| 103 |
{"index":109,"Rank":103,"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}
|
| 104 |
{"index":180,"Rank":104,"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}
|
| 105 |
{"index":133,"Rank":105,"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}
|
| 106 |
{"index":20,"Rank":106,"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}
|
| 107 |
+
{"index":281,"Rank":107,"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}
|
| 108 |
{"index":155,"Rank":108,"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}
|
| 109 |
{"index":190,"Rank":109,"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}
|
| 110 |
{"index":86,"Rank":110,"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}
|
| 111 |
+
{"index":253,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","SummEval":30.49}
|
| 112 |
{"index":223,"Rank":112,"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":175,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":30.46}
|
| 114 |
{"index":88,"Rank":114,"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}
|
| 115 |
+
{"index":274,"Rank":115,"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}
|
| 116 |
{"index":34,"Rank":116,"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}
|
| 117 |
{"index":122,"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":291,"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":225,"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":104,"Rank":120,"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}
|
| 121 |
{"index":94,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":30.39}
|
|
|
|
| 132 |
{"index":59,"Rank":132,"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}
|
| 133 |
{"index":196,"Rank":133,"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}
|
| 134 |
{"index":173,"Rank":134,"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}
|
| 135 |
+
{"index":257,"Rank":135,"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}
|
| 136 |
{"index":74,"Rank":136,"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}
|
| 137 |
{"index":57,"Rank":137,"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}
|
| 138 |
{"index":169,"Rank":138,"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}
|
| 139 |
{"index":33,"Rank":139,"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":"","Max Tokens":"","SummEval":30.18}
|
| 140 |
{"index":97,"Rank":140,"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}
|
| 141 |
{"index":26,"Rank":141,"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}
|
| 142 |
+
{"index":269,"Rank":142,"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":256,"SummEval":30.1}
|
| 143 |
{"index":116,"Rank":143,"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}
|
| 144 |
{"index":218,"Rank":144,"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}
|
| 145 |
+
{"index":266,"Rank":145,"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}
|
| 146 |
{"index":207,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/minishlab\/M2V_base_glove_subword\">M2V_base_glove_subword<\/a>","Model Size (Million Parameters)":103,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":256,"Max Tokens":1000000,"SummEval":30.08}
|
| 147 |
{"index":222,"Rank":147,"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}
|
| 148 |
{"index":176,"Rank":148,"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}
|
| 149 |
{"index":75,"Rank":149,"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}
|
| 150 |
{"index":68,"Rank":150,"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}
|
| 151 |
{"index":73,"Rank":151,"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}
|
| 152 |
+
{"index":303,"Rank":152,"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}
|
| 153 |
+
{"index":302,"Rank":153,"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}
|
| 154 |
{"index":80,"Rank":154,"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}
|
| 155 |
+
{"index":265,"Rank":155,"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}
|
| 156 |
{"index":118,"Rank":156,"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}
|
| 157 |
{"index":189,"Rank":157,"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}
|
| 158 |
+
{"index":232,"Rank":158,"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}
|
| 159 |
{"index":185,"Rank":159,"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)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":29.85}
|
| 160 |
{"index":162,"Rank":160,"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}
|
| 161 |
{"index":128,"Rank":161,"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}
|
| 162 |
{"index":47,"Rank":162,"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}
|
| 163 |
{"index":161,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/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}
|
| 164 |
+
{"index":285,"Rank":164,"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}
|
| 165 |
{"index":191,"Rank":165,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"SummEval":29.71}
|
| 166 |
+
{"index":279,"Rank":166,"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}
|
| 167 |
{"index":89,"Rank":167,"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}
|
| 168 |
+
{"index":255,"Rank":168,"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}
|
| 169 |
+
{"index":264,"Rank":169,"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}
|
| 170 |
{"index":174,"Rank":170,"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}
|
| 171 |
{"index":221,"Rank":171,"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}
|
| 172 |
{"index":100,"Rank":172,"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}
|
| 173 |
+
{"index":256,"Rank":173,"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,"SummEval":29.5}
|
| 174 |
+
{"index":259,"Rank":174,"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}
|
| 175 |
{"index":119,"Rank":175,"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,"SummEval":29.47}
|
| 176 |
+
{"index":276,"Rank":176,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-4\">universal-sentence-encoder-4<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.42}
|
| 177 |
{"index":87,"Rank":177,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test25\">test25<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.33}
|
| 178 |
{"index":208,"Rank":178,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/minishlab\/M2V_base_output\">M2V_base_output<\/a>","Model Size (Million Parameters)":8,"Memory Usage (GB, fp32)":0.03,"Embedding Dimensions":256,"Max Tokens":1000000,"SummEval":29.28}
|
| 179 |
{"index":62,"Rank":179,"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,"SummEval":29.23}
|
| 180 |
{"index":48,"Rank":180,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"SummEval":29.15}
|
| 181 |
{"index":197,"Rank":181,"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":"","SummEval":29.02}
|
| 182 |
{"index":142,"Rank":182,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-lunaris-text-embeddings\">cai-lunaris-text-embeddings<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":29.02}
|
| 183 |
+
{"index":277,"Rank":183,"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":"","SummEval":29.01}
|
| 184 |
+
{"index":252,"Rank":184,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_glove.6B.300d\">average_word_embeddings_glove.6B.300d<\/a>","Model Size (Million Parameters)":120,"Memory Usage (GB, fp32)":0.45,"Embedding Dimensions":300,"Max Tokens":"N\/A","SummEval":28.87}
|
| 185 |
{"index":99,"Rank":185,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-mpnet-base-all-nli-triplet\">Arabic-mpnet-base-all-nli-triplet<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":28.79}
|
| 186 |
{"index":69,"Rank":186,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"SummEval":28.49}
|
| 187 |
{"index":224,"Rank":187,"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,"SummEval":28.41}
|
| 188 |
+
{"index":248,"Rank":188,"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,"SummEval":27.9}
|
| 189 |
+
{"index":251,"Rank":189,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/allenai-specter\">allenai-specter<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":27.66}
|
| 190 |
{"index":127,"Rank":190,"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":"","SummEval":27.54}
|
| 191 |
+
{"index":250,"Rank":191,"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,"SummEval":27.49}
|
| 192 |
+
{"index":297,"Rank":192,"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,"SummEval":26.94}
|
| 193 |
{"index":11,"Rank":193,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Embedding Dimensions":1024,"Max Tokens":"N\/A","SummEval":26.8}
|
| 194 |
+
{"index":282,"Rank":194,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":0.29}
|
| 195 |
{"index":2,"Rank":195,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"SummEval":""}
|
| 196 |
{"index":3,"Rank":196,"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":"","SummEval":""}
|
| 197 |
{"index":4,"Rank":197,"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":4000,"SummEval":""}
|
|
|
|
| 250 |
{"index":203,"Rank":266,"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,"SummEval":""}
|
| 251 |
{"index":211,"Rank":268,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mukaj\/fin-mpnet-base\">fin-mpnet-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
| 252 |
{"index":229,"Rank":275,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Retriever-v1\">NV-Retriever-v1<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":512,"SummEval":""}
|
| 253 |
+
{"index":230,"Rank":276,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/omarelshehy\/arabic-english-sts-matryoshka\">arabic-english-sts-matryoshka<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":""}
|
| 254 |
+
{"index":231,"Rank":277,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/openbmb\/MiniCPM-Embedding\">MiniCPM-Embedding<\/a>","Model Size (Million Parameters)":2725,"Memory Usage (GB, fp32)":10.15,"Embedding Dimensions":2304,"Max Tokens":2048,"SummEval":""}
|
| 255 |
+
{"index":235,"Rank":278,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/qinxianliu\/FAE-v1\">FAE-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":""}
|
| 256 |
+
{"index":236,"Rank":279,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/qinxianliu\/FUE-v1\">FUE-v1<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
| 257 |
+
{"index":240,"Rank":280,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-base\">mmlw-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
| 258 |
+
{"index":241,"Rank":281,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-large\">mmlw-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":""}
|
| 259 |
+
{"index":242,"Rank":282,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-small\">mmlw-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":""}
|
| 260 |
+
{"index":243,"Rank":283,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-roberta-base\">mmlw-roberta-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
| 261 |
+
{"index":244,"Rank":284,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-roberta-large\">mmlw-roberta-large<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":""}
|
| 262 |
+
{"index":245,"Rank":285,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/st-polish-paraphrase-from-distilroberta\">st-polish-paraphrase-from-distilroberta<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
| 263 |
+
{"index":246,"Rank":286,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/st-polish-paraphrase-from-mpnet\">st-polish-paraphrase-from-mpnet<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
| 264 |
+
{"index":254,"Rank":287,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":512,"Max Tokens":512,"SummEval":""}
|
| 265 |
+
{"index":260,"Rank":288,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/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":""}
|
| 266 |
+
{"index":267,"Rank":289,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/LaBSE-ru-turbo\">LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":""}
|
| 267 |
+
{"index":268,"Rank":290,"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,"SummEval":""}
|
| 268 |
+
{"index":270,"Rank":291,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tanmaylaud\/ret-phi2-v0\">ret-phi2-v0<\/a>","Model Size (Million Parameters)":2649,"Memory Usage (GB, fp32)":9.87,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":""}
|
| 269 |
+
{"index":271,"Rank":292,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/technicolor\/Angle_BERT\">Angle_BERT<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":""}
|
| 270 |
+
{"index":275,"Rank":293,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":""}
|
| 271 |
+
{"index":284,"Rank":294,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/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":""}
|
| 272 |
+
{"index":290,"Rank":298,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":""}
|
| 273 |
+
{"index":292,"Rank":299,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"SummEval":""}
|
| 274 |
+
{"index":293,"Rank":300,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-ada-doc-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"SummEval":""}
|
| 275 |
+
{"index":294,"Rank":301,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"SummEval":""}
|
| 276 |
+
{"index":295,"Rank":302,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"SummEval":""}
|
| 277 |
+
{"index":296,"Rank":303,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"SummEval":""}
|
| 278 |
+
{"index":298,"Rank":304,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"SummEval":""}
|
| 279 |
+
{"index":299,"Rank":305,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"SummEval":""}
|
| 280 |
+
{"index":300,"Rank":306,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"SummEval":""}
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boards_data/en/data_tasks/Summarization/default.jsonl
CHANGED
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@@ -9,20 +9,20 @@
|
|
| 9 |
{"index":58,"Rank":9,"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,"SummEval":32.12}
|
| 10 |
{"index":181,"Rank":10,"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,"SummEval":32.06}
|
| 11 |
{"index":120,"Rank":11,"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,"SummEval":32.03}
|
| 12 |
-
{"index":
|
| 13 |
{"index":163,"Rank":13,"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}
|
| 14 |
{"index":115,"Rank":14,"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}
|
| 15 |
{"index":66,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/dunzhang-stella_en_400M_v5\">dunzhang-stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"SummEval":31.66}
|
| 16 |
{"index":153,"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}
|
| 17 |
-
{"index":
|
| 18 |
{"index":23,"Rank":18,"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}
|
| 19 |
{"index":194,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/katanemo\/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}
|
| 20 |
-
{"index":
|
| 21 |
-
{"index":
|
| 22 |
{"index":183,"Rank":22,"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}
|
| 23 |
{"index":188,"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}
|
| 24 |
-
{"index":
|
| 25 |
-
{"index":
|
| 26 |
{"index":138,"Rank":26,"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}
|
| 27 |
{"index":187,"Rank":27,"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}
|
| 28 |
{"index":209,"Rank":28,"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}
|
|
@@ -33,9 +33,9 @@
|
|
| 33 |
{"index":92,"Rank":33,"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}
|
| 34 |
{"index":206,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/minishlab\/M2V_base_glove\">M2V_base_glove<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":256,"Max Tokens":1000000,"SummEval":31.45}
|
| 35 |
{"index":72,"Rank":35,"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}
|
| 36 |
-
{"index":
|
| 37 |
{"index":171,"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}
|
| 38 |
-
{"index":
|
| 39 |
{"index":70,"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}
|
| 40 |
{"index":113,"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}
|
| 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}
|
|
@@ -52,23 +52,23 @@
|
|
| 52 |
{"index":227,"Rank":52,"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}
|
| 53 |
{"index":204,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.17}
|
| 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}
|
| 55 |
-
{"index":
|
| 56 |
{"index":18,"Rank":56,"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}
|
| 57 |
-
{"index":
|
| 58 |
{"index":172,"Rank":58,"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}
|
| 59 |
{"index":117,"Rank":59,"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}
|
| 60 |
{"index":107,"Rank":60,"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}
|
| 61 |
-
{"index":
|
| 62 |
{"index":60,"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":132,"Rank":63,"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}
|
| 64 |
-
{"index":
|
| 65 |
{"index":179,"Rank":65,"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}
|
| 66 |
{"index":21,"Rank":66,"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}
|
| 67 |
{"index":134,"Rank":67,"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}
|
| 68 |
-
{"index":
|
| 69 |
{"index":150,"Rank":69,"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)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.05}
|
| 70 |
{"index":91,"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":
|
| 72 |
{"index":9,"Rank":72,"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}
|
| 73 |
{"index":166,"Rank":73,"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}
|
| 74 |
{"index":195,"Rank":74,"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}
|
|
@@ -84,12 +84,12 @@
|
|
| 84 |
{"index":129,"Rank":84,"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,"SummEval":30.87}
|
| 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":111,"Rank":86,"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}
|
| 87 |
-
{"index":
|
| 88 |
{"index":108,"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":198,"Rank":89,"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}
|
| 90 |
-
{"index":
|
| 91 |
-
{"index":
|
| 92 |
-
{"index":
|
| 93 |
{"index":22,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-en-icl\">bge-en-icl<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.77}
|
| 94 |
{"index":192,"Rank":94,"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}
|
| 95 |
{"index":220,"Rank":95,"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}
|
|
@@ -98,24 +98,24 @@
|
|
| 98 |
{"index":106,"Rank":98,"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}
|
| 99 |
{"index":228,"Rank":99,"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}
|
| 100 |
{"index":96,"Rank":100,"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}
|
| 101 |
-
{"index":
|
| 102 |
-
{"index":
|
| 103 |
{"index":109,"Rank":103,"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}
|
| 104 |
{"index":180,"Rank":104,"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}
|
| 105 |
{"index":133,"Rank":105,"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}
|
| 106 |
{"index":20,"Rank":106,"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}
|
| 107 |
-
{"index":
|
| 108 |
{"index":155,"Rank":108,"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}
|
| 109 |
{"index":190,"Rank":109,"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}
|
| 110 |
{"index":86,"Rank":110,"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}
|
| 111 |
-
{"index":
|
| 112 |
{"index":223,"Rank":112,"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":175,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":30.46}
|
| 114 |
{"index":88,"Rank":114,"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}
|
| 115 |
-
{"index":
|
| 116 |
{"index":34,"Rank":116,"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}
|
| 117 |
{"index":122,"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":
|
| 119 |
{"index":225,"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":104,"Rank":120,"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}
|
| 121 |
{"index":94,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":30.39}
|
|
@@ -132,66 +132,66 @@
|
|
| 132 |
{"index":59,"Rank":132,"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}
|
| 133 |
{"index":196,"Rank":133,"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}
|
| 134 |
{"index":173,"Rank":134,"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}
|
| 135 |
-
{"index":
|
| 136 |
{"index":74,"Rank":136,"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}
|
| 137 |
{"index":57,"Rank":137,"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}
|
| 138 |
{"index":169,"Rank":138,"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}
|
| 139 |
{"index":33,"Rank":139,"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":"","Max Tokens":"","SummEval":30.18}
|
| 140 |
{"index":97,"Rank":140,"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}
|
| 141 |
{"index":26,"Rank":141,"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}
|
| 142 |
-
{"index":
|
| 143 |
{"index":116,"Rank":143,"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}
|
| 144 |
{"index":218,"Rank":144,"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}
|
| 145 |
-
{"index":
|
| 146 |
{"index":207,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/minishlab\/M2V_base_glove_subword\">M2V_base_glove_subword<\/a>","Model Size (Million Parameters)":103,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":256,"Max Tokens":1000000,"SummEval":30.08}
|
| 147 |
{"index":222,"Rank":147,"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}
|
| 148 |
{"index":176,"Rank":148,"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}
|
| 149 |
{"index":75,"Rank":149,"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}
|
| 150 |
{"index":68,"Rank":150,"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}
|
| 151 |
{"index":73,"Rank":151,"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}
|
| 152 |
-
{"index":
|
| 153 |
-
{"index":
|
| 154 |
{"index":80,"Rank":154,"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}
|
| 155 |
-
{"index":
|
| 156 |
{"index":118,"Rank":156,"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}
|
| 157 |
{"index":189,"Rank":157,"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}
|
| 158 |
-
{"index":
|
| 159 |
{"index":185,"Rank":159,"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)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":29.85}
|
| 160 |
{"index":162,"Rank":160,"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}
|
| 161 |
{"index":128,"Rank":161,"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}
|
| 162 |
{"index":47,"Rank":162,"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}
|
| 163 |
{"index":161,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/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}
|
| 164 |
-
{"index":
|
| 165 |
{"index":191,"Rank":165,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"SummEval":29.71}
|
| 166 |
-
{"index":
|
| 167 |
{"index":89,"Rank":167,"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}
|
| 168 |
-
{"index":
|
| 169 |
-
{"index":
|
| 170 |
{"index":174,"Rank":170,"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}
|
| 171 |
{"index":221,"Rank":171,"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}
|
| 172 |
{"index":100,"Rank":172,"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}
|
| 173 |
-
{"index":
|
| 174 |
-
{"index":
|
| 175 |
{"index":119,"Rank":175,"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,"SummEval":29.47}
|
| 176 |
-
{"index":
|
| 177 |
{"index":87,"Rank":177,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test25\">test25<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.33}
|
| 178 |
{"index":208,"Rank":178,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/minishlab\/M2V_base_output\">M2V_base_output<\/a>","Model Size (Million Parameters)":8,"Memory Usage (GB, fp32)":0.03,"Embedding Dimensions":256,"Max Tokens":1000000,"SummEval":29.28}
|
| 179 |
{"index":62,"Rank":179,"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,"SummEval":29.23}
|
| 180 |
{"index":48,"Rank":180,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"SummEval":29.15}
|
| 181 |
{"index":197,"Rank":181,"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":"","SummEval":29.02}
|
| 182 |
{"index":142,"Rank":182,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-lunaris-text-embeddings\">cai-lunaris-text-embeddings<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":29.02}
|
| 183 |
-
{"index":
|
| 184 |
-
{"index":
|
| 185 |
{"index":99,"Rank":185,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-mpnet-base-all-nli-triplet\">Arabic-mpnet-base-all-nli-triplet<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":28.79}
|
| 186 |
{"index":69,"Rank":186,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"SummEval":28.49}
|
| 187 |
{"index":224,"Rank":187,"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,"SummEval":28.41}
|
| 188 |
-
{"index":
|
| 189 |
-
{"index":
|
| 190 |
{"index":127,"Rank":190,"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":"","SummEval":27.54}
|
| 191 |
-
{"index":
|
| 192 |
-
{"index":
|
| 193 |
{"index":11,"Rank":193,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Embedding Dimensions":1024,"Max Tokens":"N\/A","SummEval":26.8}
|
| 194 |
-
{"index":
|
| 195 |
{"index":2,"Rank":195,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"SummEval":""}
|
| 196 |
{"index":3,"Rank":196,"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":"","SummEval":""}
|
| 197 |
{"index":4,"Rank":197,"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":4000,"SummEval":""}
|
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@@ -250,30 +250,31 @@
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| 250 |
{"index":203,"Rank":266,"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,"SummEval":""}
|
| 251 |
{"index":211,"Rank":268,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mukaj\/fin-mpnet-base\">fin-mpnet-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
| 252 |
{"index":229,"Rank":275,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Retriever-v1\">NV-Retriever-v1<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":512,"SummEval":""}
|
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-
{"index":230,"Rank":276,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/
|
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-
{"index":
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-
{"index":235,"Rank":278,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/qinxianliu\/
|
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-
{"index":
|
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-
{"index":240,"Rank":280,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-
|
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-
{"index":241,"Rank":281,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-
|
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-
{"index":242,"Rank":282,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-
|
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-
{"index":243,"Rank":283,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-roberta-
|
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-
{"index":244,"Rank":284,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/
|
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-
{"index":245,"Rank":285,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/st-polish-paraphrase-from-
|
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-
{"index":
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-
{"index":
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-
{"index":
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-
{"index":267,"Rank":289,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/
|
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-
{"index":
|
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-
{"index":270,"Rank":291,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/
|
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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":292,"Rank":299,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-ada-
|
| 274 |
-
{"index":293,"Rank":300,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-
|
| 275 |
-
{"index":294,"Rank":301,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-
|
| 276 |
-
{"index":295,"Rank":302,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-
|
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-
{"index":
|
| 278 |
-
{"index":298,"Rank":304,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-
|
| 279 |
-
{"index":299,"Rank":305,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-
|
|
|
|
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|
| 9 |
{"index":58,"Rank":9,"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,"SummEval":32.12}
|
| 10 |
{"index":181,"Rank":10,"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,"SummEval":32.06}
|
| 11 |
{"index":120,"Rank":11,"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,"SummEval":32.03}
|
| 12 |
+
{"index":280,"Rank":12,"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}
|
| 13 |
{"index":163,"Rank":13,"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}
|
| 14 |
{"index":115,"Rank":14,"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}
|
| 15 |
{"index":66,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/dunzhang-stella_en_400M_v5\">dunzhang-stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"SummEval":31.66}
|
| 16 |
{"index":153,"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}
|
| 17 |
+
{"index":273,"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}
|
| 18 |
{"index":23,"Rank":18,"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}
|
| 19 |
{"index":194,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/katanemo\/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}
|
| 20 |
+
{"index":238,"Rank":20,"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}
|
| 21 |
+
{"index":239,"Rank":21,"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}
|
| 22 |
{"index":183,"Rank":22,"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}
|
| 23 |
{"index":188,"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}
|
| 24 |
+
{"index":283,"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}
|
| 25 |
+
{"index":262,"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}
|
| 26 |
{"index":138,"Rank":26,"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}
|
| 27 |
{"index":187,"Rank":27,"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}
|
| 28 |
{"index":209,"Rank":28,"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}
|
|
|
|
| 33 |
{"index":92,"Rank":33,"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}
|
| 34 |
{"index":206,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/minishlab\/M2V_base_glove\">M2V_base_glove<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":256,"Max Tokens":1000000,"SummEval":31.45}
|
| 35 |
{"index":72,"Rank":35,"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}
|
| 36 |
+
{"index":289,"Rank":36,"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}
|
| 37 |
{"index":171,"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}
|
| 38 |
+
{"index":263,"Rank":38,"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}
|
| 39 |
{"index":70,"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}
|
| 40 |
{"index":113,"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}
|
| 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}
|
|
|
|
| 52 |
{"index":227,"Rank":52,"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}
|
| 53 |
{"index":204,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.17}
|
| 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}
|
| 55 |
+
{"index":233,"Rank":55,"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}
|
| 56 |
{"index":18,"Rank":56,"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}
|
| 57 |
+
{"index":272,"Rank":57,"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}
|
| 58 |
{"index":172,"Rank":58,"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}
|
| 59 |
{"index":117,"Rank":59,"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}
|
| 60 |
{"index":107,"Rank":60,"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}
|
| 61 |
+
{"index":234,"Rank":61,"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}
|
| 62 |
{"index":60,"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":132,"Rank":63,"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}
|
| 64 |
+
{"index":304,"Rank":64,"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}
|
| 65 |
{"index":179,"Rank":65,"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}
|
| 66 |
{"index":21,"Rank":66,"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}
|
| 67 |
{"index":134,"Rank":67,"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}
|
| 68 |
+
{"index":247,"Rank":68,"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}
|
| 69 |
{"index":150,"Rank":69,"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)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.05}
|
| 70 |
{"index":91,"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":305,"Rank":71,"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}
|
| 72 |
{"index":9,"Rank":72,"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}
|
| 73 |
{"index":166,"Rank":73,"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}
|
| 74 |
{"index":195,"Rank":74,"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}
|
|
|
|
| 84 |
{"index":129,"Rank":84,"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,"SummEval":30.87}
|
| 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":111,"Rank":86,"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}
|
| 87 |
+
{"index":237,"Rank":87,"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}
|
| 88 |
{"index":108,"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":198,"Rank":89,"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}
|
| 90 |
+
{"index":249,"Rank":90,"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}
|
| 91 |
+
{"index":301,"Rank":91,"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}
|
| 92 |
+
{"index":278,"Rank":92,"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":22,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-en-icl\">bge-en-icl<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.77}
|
| 94 |
{"index":192,"Rank":94,"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}
|
| 95 |
{"index":220,"Rank":95,"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}
|
|
|
|
| 98 |
{"index":106,"Rank":98,"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}
|
| 99 |
{"index":228,"Rank":99,"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}
|
| 100 |
{"index":96,"Rank":100,"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}
|
| 101 |
+
{"index":261,"Rank":101,"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}
|
| 102 |
+
{"index":258,"Rank":102,"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}
|
| 103 |
{"index":109,"Rank":103,"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}
|
| 104 |
{"index":180,"Rank":104,"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}
|
| 105 |
{"index":133,"Rank":105,"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}
|
| 106 |
{"index":20,"Rank":106,"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}
|
| 107 |
+
{"index":281,"Rank":107,"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}
|
| 108 |
{"index":155,"Rank":108,"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}
|
| 109 |
{"index":190,"Rank":109,"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}
|
| 110 |
{"index":86,"Rank":110,"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}
|
| 111 |
+
{"index":253,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","SummEval":30.49}
|
| 112 |
{"index":223,"Rank":112,"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":175,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":30.46}
|
| 114 |
{"index":88,"Rank":114,"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}
|
| 115 |
+
{"index":274,"Rank":115,"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}
|
| 116 |
{"index":34,"Rank":116,"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}
|
| 117 |
{"index":122,"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":291,"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":225,"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":104,"Rank":120,"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}
|
| 121 |
{"index":94,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Nextcloud-AI\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":30.39}
|
|
|
|
| 132 |
{"index":59,"Rank":132,"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}
|
| 133 |
{"index":196,"Rank":133,"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}
|
| 134 |
{"index":173,"Rank":134,"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}
|
| 135 |
+
{"index":257,"Rank":135,"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}
|
| 136 |
{"index":74,"Rank":136,"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}
|
| 137 |
{"index":57,"Rank":137,"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}
|
| 138 |
{"index":169,"Rank":138,"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}
|
| 139 |
{"index":33,"Rank":139,"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":"","Max Tokens":"","SummEval":30.18}
|
| 140 |
{"index":97,"Rank":140,"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}
|
| 141 |
{"index":26,"Rank":141,"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}
|
| 142 |
+
{"index":269,"Rank":142,"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":256,"SummEval":30.1}
|
| 143 |
{"index":116,"Rank":143,"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}
|
| 144 |
{"index":218,"Rank":144,"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}
|
| 145 |
+
{"index":266,"Rank":145,"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}
|
| 146 |
{"index":207,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/minishlab\/M2V_base_glove_subword\">M2V_base_glove_subword<\/a>","Model Size (Million Parameters)":103,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":256,"Max Tokens":1000000,"SummEval":30.08}
|
| 147 |
{"index":222,"Rank":147,"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}
|
| 148 |
{"index":176,"Rank":148,"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}
|
| 149 |
{"index":75,"Rank":149,"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}
|
| 150 |
{"index":68,"Rank":150,"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}
|
| 151 |
{"index":73,"Rank":151,"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}
|
| 152 |
+
{"index":303,"Rank":152,"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}
|
| 153 |
+
{"index":302,"Rank":153,"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}
|
| 154 |
{"index":80,"Rank":154,"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}
|
| 155 |
+
{"index":265,"Rank":155,"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}
|
| 156 |
{"index":118,"Rank":156,"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}
|
| 157 |
{"index":189,"Rank":157,"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}
|
| 158 |
+
{"index":232,"Rank":158,"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}
|
| 159 |
{"index":185,"Rank":159,"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)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":29.85}
|
| 160 |
{"index":162,"Rank":160,"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}
|
| 161 |
{"index":128,"Rank":161,"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}
|
| 162 |
{"index":47,"Rank":162,"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}
|
| 163 |
{"index":161,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/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}
|
| 164 |
+
{"index":285,"Rank":164,"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}
|
| 165 |
{"index":191,"Rank":165,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"SummEval":29.71}
|
| 166 |
+
{"index":279,"Rank":166,"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}
|
| 167 |
{"index":89,"Rank":167,"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}
|
| 168 |
+
{"index":255,"Rank":168,"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}
|
| 169 |
+
{"index":264,"Rank":169,"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}
|
| 170 |
{"index":174,"Rank":170,"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}
|
| 171 |
{"index":221,"Rank":171,"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}
|
| 172 |
{"index":100,"Rank":172,"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}
|
| 173 |
+
{"index":256,"Rank":173,"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,"SummEval":29.5}
|
| 174 |
+
{"index":259,"Rank":174,"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}
|
| 175 |
{"index":119,"Rank":175,"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,"SummEval":29.47}
|
| 176 |
+
{"index":276,"Rank":176,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-4\">universal-sentence-encoder-4<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.42}
|
| 177 |
{"index":87,"Rank":177,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test25\">test25<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.33}
|
| 178 |
{"index":208,"Rank":178,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/minishlab\/M2V_base_output\">M2V_base_output<\/a>","Model Size (Million Parameters)":8,"Memory Usage (GB, fp32)":0.03,"Embedding Dimensions":256,"Max Tokens":1000000,"SummEval":29.28}
|
| 179 |
{"index":62,"Rank":179,"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,"SummEval":29.23}
|
| 180 |
{"index":48,"Rank":180,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"SummEval":29.15}
|
| 181 |
{"index":197,"Rank":181,"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":"","SummEval":29.02}
|
| 182 |
{"index":142,"Rank":182,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-lunaris-text-embeddings\">cai-lunaris-text-embeddings<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":29.02}
|
| 183 |
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{"index":277,"Rank":183,"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":"","SummEval":29.01}
|
| 184 |
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{"index":252,"Rank":184,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_glove.6B.300d\">average_word_embeddings_glove.6B.300d<\/a>","Model Size (Million Parameters)":120,"Memory Usage (GB, fp32)":0.45,"Embedding Dimensions":300,"Max Tokens":"N\/A","SummEval":28.87}
|
| 185 |
{"index":99,"Rank":185,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-mpnet-base-all-nli-triplet\">Arabic-mpnet-base-all-nli-triplet<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":28.79}
|
| 186 |
{"index":69,"Rank":186,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"SummEval":28.49}
|
| 187 |
{"index":224,"Rank":187,"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,"SummEval":28.41}
|
| 188 |
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{"index":248,"Rank":188,"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,"SummEval":27.9}
|
| 189 |
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{"index":251,"Rank":189,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/allenai-specter\">allenai-specter<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":27.66}
|
| 190 |
{"index":127,"Rank":190,"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":"","SummEval":27.54}
|
| 191 |
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{"index":250,"Rank":191,"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,"SummEval":27.49}
|
| 192 |
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{"index":297,"Rank":192,"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,"SummEval":26.94}
|
| 193 |
{"index":11,"Rank":193,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Embedding Dimensions":1024,"Max Tokens":"N\/A","SummEval":26.8}
|
| 194 |
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{"index":282,"Rank":194,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":0.29}
|
| 195 |
{"index":2,"Rank":195,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/embeddings.html\">titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"SummEval":""}
|
| 196 |
{"index":3,"Rank":196,"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":"","SummEval":""}
|
| 197 |
{"index":4,"Rank":197,"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":4000,"SummEval":""}
|
|
|
|
| 250 |
{"index":203,"Rank":266,"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,"SummEval":""}
|
| 251 |
{"index":211,"Rank":268,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mukaj\/fin-mpnet-base\">fin-mpnet-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
| 252 |
{"index":229,"Rank":275,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Retriever-v1\">NV-Retriever-v1<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":512,"SummEval":""}
|
| 253 |
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{"index":230,"Rank":276,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/omarelshehy\/arabic-english-sts-matryoshka\">arabic-english-sts-matryoshka<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":""}
|
| 254 |
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{"index":231,"Rank":277,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/openbmb\/MiniCPM-Embedding\">MiniCPM-Embedding<\/a>","Model Size (Million Parameters)":2725,"Memory Usage (GB, fp32)":10.15,"Embedding Dimensions":2304,"Max Tokens":2048,"SummEval":""}
|
| 255 |
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{"index":235,"Rank":278,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/qinxianliu\/FAE-v1\">FAE-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":""}
|
| 256 |
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{"index":236,"Rank":279,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/qinxianliu\/FUE-v1\">FUE-v1<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
| 257 |
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{"index":240,"Rank":280,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-base\">mmlw-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
| 258 |
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|
| 259 |
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|
| 260 |
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{"index":243,"Rank":283,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-roberta-base\">mmlw-roberta-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
| 261 |
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|
| 262 |
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{"index":245,"Rank":285,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/st-polish-paraphrase-from-distilroberta\">st-polish-paraphrase-from-distilroberta<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
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{"index":246,"Rank":286,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/st-polish-paraphrase-from-mpnet\">st-polish-paraphrase-from-mpnet<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":""}
|
| 264 |
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{"index":254,"Rank":287,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":512,"Max Tokens":512,"SummEval":""}
|
| 265 |
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{"index":260,"Rank":288,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/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":""}
|
| 266 |
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{"index":267,"Rank":289,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/LaBSE-ru-turbo\">LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":""}
|
| 267 |
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{"index":268,"Rank":290,"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,"SummEval":""}
|
| 268 |
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{"index":270,"Rank":291,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/tanmaylaud\/ret-phi2-v0\">ret-phi2-v0<\/a>","Model Size (Million Parameters)":2649,"Memory Usage (GB, fp32)":9.87,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":""}
|
| 269 |
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{"index":271,"Rank":292,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/technicolor\/Angle_BERT\">Angle_BERT<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":""}
|
| 270 |
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{"index":275,"Rank":293,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":""}
|
| 271 |
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{"index":284,"Rank":294,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/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":""}
|
| 272 |
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{"index":290,"Rank":298,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"SummEval":""}
|
| 273 |
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{"index":292,"Rank":299,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"SummEval":""}
|
| 274 |
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{"index":293,"Rank":300,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-ada-doc-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"SummEval":""}
|
| 275 |
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{"index":294,"Rank":301,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"SummEval":""}
|
| 276 |
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{"index":295,"Rank":302,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"SummEval":""}
|
| 277 |
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{"index":296,"Rank":303,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-search-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"SummEval":""}
|
| 278 |
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{"index":298,"Rank":304,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"SummEval":""}
|
| 279 |
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{"index":299,"Rank":305,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"SummEval":""}
|
| 280 |
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boards_data/fr/data_overall/default.jsonl
CHANGED
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@@ -5,64 +5,64 @@
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{"index":63,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (26 datasets)":62.29,"Classification Average (6 datasets)":76.54,"Clustering Average (7 datasets)":44.95,"PairClassification Average (2 datasets)":76.6,"Reranking Average (2 datasets)":69.85,"Retrieval Average (5 datasets)":53.48,"STS Average (3 datasets)":84.89,"Summarization Average (1 datasets)":30.71}
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|
| 6 |
{"index":63,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (26 datasets)":62.29,"Classification Average (6 datasets)":76.54,"Clustering Average (7 datasets)":44.95,"PairClassification Average (2 datasets)":76.6,"Reranking Average (2 datasets)":69.85,"Retrieval Average (5 datasets)":53.48,"STS Average (3 datasets)":84.89,"Summarization Average (1 datasets)":30.71}
|
| 7 |
{"index":5,"Rank":7,"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,"Average (26 datasets)":61.66,"Classification Average (6 datasets)":68.56,"Clustering Average (7 datasets)":46.57,"PairClassification Average (2 datasets)":78.7,"Reranking Average (2 datasets)":82.59,"Retrieval Average (5 datasets)":54.56,"STS Average (3 datasets)":80.13,"Summarization Average (1 datasets)":29.96}
|
| 8 |
+
{"index":27,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average (26 datasets)":60.59,"Classification Average (6 datasets)":64.15,"Clustering Average (7 datasets)":52.08,"PairClassification Average (2 datasets)":76.62,"Reranking Average (2 datasets)":80.66,"Retrieval Average (5 datasets)":47.85,"STS Average (3 datasets)":80.52,"Summarization Average (1 datasets)":30.52}
|
| 9 |
+
{"index":4,"Rank":9,"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 (26 datasets)":60.58,"Classification Average (6 datasets)":68.45,"Clustering Average (7 datasets)":44.23,"PairClassification Average (2 datasets)":77.3,"Reranking Average (2 datasets)":82.06,"Retrieval Average (5 datasets)":52.98,"STS Average (3 datasets)":80.29,"Summarization Average (1 datasets)":30.34}
|
| 10 |
+
{"index":11,"Rank":10,"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 (26 datasets)":59.79,"Classification Average (6 datasets)":68.72,"Clustering Average (7 datasets)":41.66,"PairClassification Average (2 datasets)":79.46,"Reranking Average (2 datasets)":76.47,"Retrieval Average (5 datasets)":52.97,"STS Average (3 datasets)":81.36,"Summarization Average (1 datasets)":29.74}
|
| 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 (26 datasets)":59.41,"Classification Average (6 datasets)":68.61,"Clustering Average (7 datasets)":44.74,"PairClassification Average (2 datasets)":77.34,"Reranking Average (2 datasets)":80.46,"Retrieval Average (5 datasets)":46.81,"STS Average (3 datasets)":79.56,"Summarization Average (1 datasets)":31.47}
|
| 12 |
+
{"index":29,"Rank":12,"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,"Average (26 datasets)":59.09,"Classification Average (6 datasets)":66.74,"Clustering Average (7 datasets)":47.45,"PairClassification Average (2 datasets)":77.01,"Reranking Average (2 datasets)":77.14,"Retrieval Average (5 datasets)":44.99,"STS Average (3 datasets)":80.12,"Summarization Average (1 datasets)":30.16}
|
| 13 |
+
{"index":3,"Rank":13,"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 (26 datasets)":58.53,"Classification Average (6 datasets)":67.44,"Clustering Average (7 datasets)":45.46,"PairClassification Average (2 datasets)":76.88,"Reranking Average (2 datasets)":78.78,"Retrieval Average (5 datasets)":45.33,"STS Average (3 datasets)":77.52,"Summarization Average (1 datasets)":28.34}
|
| 14 |
+
{"index":39,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/OrdalieTech\/Solon-embeddings-large-0.1\">Solon-embeddings-large-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":58.03,"Classification Average (6 datasets)":70.02,"Clustering Average (7 datasets)":39.65,"PairClassification Average (2 datasets)":77.1,"Reranking Average (2 datasets)":76.58,"Retrieval Average (5 datasets)":46.78,"STS Average (3 datasets)":80.01,"Summarization Average (1 datasets)":29.69}
|
| 15 |
+
{"index":87,"Rank":15,"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 (26 datasets)":57.81,"Classification Average (6 datasets)":67.36,"Clustering Average (7 datasets)":43.25,"PairClassification Average (2 datasets)":78.97,"Reranking Average (2 datasets)":76.76,"Retrieval Average (5 datasets)":43.84,"STS Average (3 datasets)":78.37,"Summarization Average (1 datasets)":30.39}
|
| 16 |
+
{"index":32,"Rank":16,"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 (26 datasets)":57.77,"Classification Average (6 datasets)":65.18,"Clustering Average (7 datasets)":46.25,"PairClassification Average (2 datasets)":75.61,"Reranking Average (2 datasets)":76.0,"Retrieval Average (5 datasets)":42.92,"STS Average (3 datasets)":79.32,"Summarization Average (1 datasets)":31.55}
|
| 17 |
+
{"index":31,"Rank":17,"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 (26 datasets)":57.73,"Classification Average (6 datasets)":66.54,"Clustering Average (7 datasets)":38.61,"PairClassification Average (2 datasets)":78.3,"Reranking Average (2 datasets)":80.35,"Retrieval Average (5 datasets)":46.68,"STS Average (3 datasets)":83.08,"Summarization Average (1 datasets)":31.62}
|
| 18 |
+
{"index":68,"Rank":18,"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,"Average (26 datasets)":57.19,"Classification Average (6 datasets)":65.96,"Clustering Average (7 datasets)":41.82,"PairClassification Average (2 datasets)":80.15,"Reranking Average (2 datasets)":76.43,"Retrieval Average (5 datasets)":44.41,"STS Average (3 datasets)":77.72,"Summarization Average (1 datasets)":30.22}
|
| 19 |
+
{"index":67,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.3\">sentence_croissant_alpha_v0.3<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average (26 datasets)":57.13,"Classification Average (6 datasets)":67.11,"Clustering Average (7 datasets)":40.4,"PairClassification Average (2 datasets)":79.57,"Reranking Average (2 datasets)":75.48,"Retrieval Average (5 datasets)":44.9,"STS Average (3 datasets)":77.64,"Summarization Average (1 datasets)":32.46}
|
| 20 |
+
{"index":47,"Rank":20,"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 (26 datasets)":56.67,"Classification Average (6 datasets)":65.82,"Clustering Average (7 datasets)":43.17,"PairClassification Average (2 datasets)":77.12,"Reranking Average (2 datasets)":72.89,"Retrieval Average (5 datasets)":40.04,"STS Average (3 datasets)":81.74,"Summarization Average (1 datasets)":30.88}
|
| 21 |
+
{"index":66,"Rank":21,"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,"Average (26 datasets)":56.47,"Classification Average (6 datasets)":67.4,"Clustering Average (7 datasets)":39.81,"PairClassification Average (2 datasets)":80.23,"Reranking Average (2 datasets)":75.2,"Retrieval Average (5 datasets)":43.85,"STS Average (3 datasets)":74.91,"Summarization Average (1 datasets)":30.27}
|
| 22 |
+
{"index":93,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":56.39,"Classification Average (6 datasets)":65.92,"Clustering Average (7 datasets)":39.86,"PairClassification Average (2 datasets)":76.97,"Reranking Average (2 datasets)":75.75,"Retrieval Average (5 datasets)":42.96,"STS Average (3 datasets)":80.59,"Summarization Average (1 datasets)":29.65}
|
| 23 |
+
{"index":64,"Rank":23,"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,"Average (26 datasets)":56.23,"Classification Average (6 datasets)":67.57,"Clustering Average (7 datasets)":37.9,"PairClassification Average (2 datasets)":77.1,"Reranking Average (2 datasets)":75.3,"Retrieval Average (5 datasets)":43.58,"STS Average (3 datasets)":79.5,"Summarization Average (1 datasets)":30.13}
|
| 24 |
+
{"index":17,"Rank":24,"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 (26 datasets)":56.02,"Classification Average (6 datasets)":67.08,"Clustering Average (7 datasets)":40.7,"PairClassification Average (2 datasets)":77.67,"Reranking Average (2 datasets)":68.36,"Retrieval Average (5 datasets)":40.42,"STS Average (3 datasets)":81.28,"Summarization Average (1 datasets)":31.26}
|
| 25 |
+
{"index":57,"Rank":25,"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 (26 datasets)":55.77,"Classification Average (6 datasets)":64.94,"Clustering Average (7 datasets)":42.66,"PairClassification Average (2 datasets)":74.82,"Reranking Average (2 datasets)":71.76,"Retrieval Average (5 datasets)":41.19,"STS Average (3 datasets)":77.3,"Summarization Average (1 datasets)":30.76}
|
| 26 |
+
{"index":58,"Rank":26,"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 (26 datasets)":55.64,"Classification Average (6 datasets)":66.54,"Clustering Average (7 datasets)":38.7,"PairClassification Average (2 datasets)":76.19,"Reranking Average (2 datasets)":72.14,"Retrieval Average (5 datasets)":42.17,"STS Average (3 datasets)":79.36,"Summarization Average (1 datasets)":30.92}
|
| 27 |
+
{"index":86,"Rank":27,"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 (26 datasets)":55.58,"Classification Average (6 datasets)":65.09,"Clustering Average (7 datasets)":41.6,"PairClassification Average (2 datasets)":77.54,"Reranking Average (2 datasets)":73.18,"Retrieval Average (5 datasets)":39.69,"STS Average (3 datasets)":77.33,"Summarization Average (1 datasets)":31.59}
|
| 28 |
+
{"index":83,"Rank":28,"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 (26 datasets)":55.21,"Classification Average (6 datasets)":64.73,"Clustering Average (7 datasets)":41.79,"PairClassification Average (2 datasets)":75.8,"Reranking Average (2 datasets)":74.09,"Retrieval Average (5 datasets)":38.13,"STS Average (3 datasets)":78.18,"Summarization Average (1 datasets)":29.47}
|
| 29 |
+
{"index":40,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Wissam42\/sentence-croissant-llm-base\">sentence-croissant-llm-base<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average (26 datasets)":54.25,"Classification Average (6 datasets)":64.57,"Clustering Average (7 datasets)":41.7,"PairClassification Average (2 datasets)":77.31,"Reranking Average (2 datasets)":67.95,"Retrieval Average (5 datasets)":36.81,"STS Average (3 datasets)":75.87,"Summarization Average (1 datasets)":29.04}
|
| 30 |
+
{"index":91,"Rank":30,"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,"Average (26 datasets)":53.78,"Classification Average (6 datasets)":64.41,"Clustering Average (7 datasets)":42.0,"PairClassification Average (2 datasets)":71.94,"Reranking Average (2 datasets)":65.04,"Retrieval Average (5 datasets)":38.16,"STS Average (3 datasets)":74.92,"Summarization Average (1 datasets)":28.21}
|
| 31 |
+
{"index":1,"Rank":31,"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":4000,"Average (26 datasets)":53.75,"Classification Average (6 datasets)":59.84,"Clustering Average (7 datasets)":41.88,"PairClassification Average (2 datasets)":74.4,"Reranking Average (2 datasets)":73.1,"Retrieval Average (5 datasets)":40.81,"STS Average (3 datasets)":71.82,"Summarization Average (1 datasets)":30.88}
|
| 32 |
+
{"index":85,"Rank":32,"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 (26 datasets)":52.95,"Classification Average (6 datasets)":61.64,"Clustering Average (7 datasets)":40.6,"PairClassification Average (2 datasets)":75.44,"Reranking Average (2 datasets)":68.88,"Retrieval Average (5 datasets)":35.66,"STS Average (3 datasets)":75.14,"Summarization Average (1 datasets)":30.23}
|
| 33 |
+
{"index":60,"Rank":33,"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 (26 datasets)":52.93,"Classification Average (6 datasets)":61.06,"Clustering Average (7 datasets)":38.93,"PairClassification Average (2 datasets)":74.1,"Reranking Average (2 datasets)":71.44,"Retrieval Average (5 datasets)":36.55,"STS Average (3 datasets)":77.17,"Summarization Average (1 datasets)":31.85}
|
| 34 |
+
{"index":16,"Rank":34,"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 (26 datasets)":52.87,"Classification Average (6 datasets)":61.3,"Clustering Average (7 datasets)":38.91,"PairClassification Average (2 datasets)":74.14,"Reranking Average (2 datasets)":69.82,"Retrieval Average (5 datasets)":36.1,"STS Average (3 datasets)":78.26,"Summarization Average (1 datasets)":31.4}
|
| 35 |
+
{"index":92,"Rank":35,"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,"Average (26 datasets)":52.82,"Classification Average (6 datasets)":66.37,"Clustering Average (7 datasets)":36.35,"PairClassification Average (2 datasets)":73.52,"Reranking Average (2 datasets)":66.26,"Retrieval Average (5 datasets)":37.78,"STS Average (3 datasets)":74.55,"Summarization Average (1 datasets)":28.56}
|
| 36 |
+
{"index":78,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":512,"Max Tokens":512,"Average (26 datasets)":51.31,"Classification Average (6 datasets)":62.14,"Clustering Average (7 datasets)":38.7,"PairClassification Average (2 datasets)":71.61,"Reranking Average (2 datasets)":63.28,"Retrieval Average (5 datasets)":33.22,"STS Average (3 datasets)":75.46,"Summarization Average (1 datasets)":28.12}
|
| 37 |
+
{"index":72,"Rank":37,"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,"Average (26 datasets)":50.87,"Classification Average (6 datasets)":64.6,"Clustering Average (7 datasets)":38.32,"PairClassification Average (2 datasets)":74.3,"Reranking Average (2 datasets)":61.4,"Retrieval Average (5 datasets)":28.47,"STS Average (3 datasets)":74.33,"Summarization Average (1 datasets)":30.16}
|
| 38 |
+
{"index":82,"Rank":38,"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 (26 datasets)":50.71,"Classification Average (6 datasets)":61.02,"Clustering Average (7 datasets)":38.35,"PairClassification Average (2 datasets)":74.47,"Reranking Average (2 datasets)":62.02,"Retrieval Average (5 datasets)":31.24,"STS Average (3 datasets)":75.18,"Summarization Average (1 datasets)":29.2}
|
| 39 |
+
{"index":84,"Rank":39,"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 (26 datasets)":50.63,"Classification Average (6 datasets)":58.08,"Clustering Average (7 datasets)":40.07,"PairClassification Average (2 datasets)":72.42,"Reranking Average (2 datasets)":64.08,"Retrieval Average (5 datasets)":32.18,"STS Average (3 datasets)":74.49,"Summarization Average (1 datasets)":30.01}
|
| 40 |
+
{"index":46,"Rank":40,"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 (26 datasets)":49.61,"Classification Average (6 datasets)":56.63,"Clustering Average (7 datasets)":35.44,"PairClassification Average (2 datasets)":74.74,"Reranking Average (2 datasets)":64.22,"Retrieval Average (5 datasets)":32.37,"STS Average (3 datasets)":77.79,"Summarization Average (1 datasets)":28.77}
|
| 41 |
+
{"index":56,"Rank":41,"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 (26 datasets)":48.33,"Classification Average (6 datasets)":57.72,"Clustering Average (7 datasets)":41.16,"PairClassification Average (2 datasets)":76.08,"Reranking Average (2 datasets)":62.2,"Retrieval Average (5 datasets)":23.44,"STS Average (3 datasets)":65.36,"Summarization Average (1 datasets)":32.22}
|
| 42 |
+
{"index":90,"Rank":42,"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":256,"Average (26 datasets)":47.6,"Classification Average (6 datasets)":55.78,"Clustering Average (7 datasets)":33.66,"PairClassification Average (2 datasets)":78.82,"Reranking Average (2 datasets)":60.88,"Retrieval Average (5 datasets)":24.76,"STS Average (3 datasets)":78.28,"Summarization Average (1 datasets)":29.33}
|
| 43 |
+
{"index":73,"Rank":43,"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 (26 datasets)":47.17,"Classification Average (6 datasets)":52.14,"Clustering Average (7 datasets)":33.75,"PairClassification Average (2 datasets)":71.47,"Reranking Average (2 datasets)":68.09,"Retrieval Average (5 datasets)":34.44,"STS Average (3 datasets)":66.45,"Summarization Average (1 datasets)":26.63}
|
| 44 |
+
{"index":74,"Rank":44,"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 (26 datasets)":46.39,"Classification Average (6 datasets)":50.7,"Clustering Average (7 datasets)":34.73,"PairClassification Average (2 datasets)":70.96,"Reranking Average (2 datasets)":64.96,"Retrieval Average (5 datasets)":30.87,"STS Average (3 datasets)":68.14,"Summarization Average (1 datasets)":28.29}
|
| 45 |
+
{"index":8,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AdrienB134\/llm2vec-occiglot-mntp\">llm2vec-occiglot-mntp<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (26 datasets)":45.65,"Classification Average (6 datasets)":60.98,"Clustering Average (7 datasets)":41.21,"PairClassification Average (2 datasets)":80.54,"Reranking Average (2 datasets)":49.98,"Retrieval Average (5 datasets)":12.94,"STS Average (3 datasets)":59.33,"Summarization Average (1 datasets)":28.72}
|
| 46 |
+
{"index":81,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/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 (26 datasets)":44.91,"Classification Average (6 datasets)":50.9,"Clustering Average (7 datasets)":32.84,"PairClassification Average (2 datasets)":72.77,"Reranking Average (2 datasets)":52.68,"Retrieval Average (5 datasets)":30.69,"STS Average (3 datasets)":66.86,"Summarization Average (1 datasets)":27.59}
|
| 47 |
+
{"index":61,"Rank":47,"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 (26 datasets)":43.71,"Classification Average (6 datasets)":54.9,"Clustering Average (7 datasets)":35.04,"PairClassification Average (2 datasets)":77.05,"Reranking Average (2 datasets)":50.86,"Retrieval Average (5 datasets)":17.91,"STS Average (3 datasets)":62.34,"Summarization Average (1 datasets)":29.48}
|
| 48 |
+
{"index":6,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Embedding Dimensions":1024,"Max Tokens":"N\/A","Average (26 datasets)":41.94,"Classification Average (6 datasets)":53.31,"Clustering Average (7 datasets)":29.92,"PairClassification Average (2 datasets)":82.04,"Reranking Average (2 datasets)":45.61,"Retrieval Average (5 datasets)":16.19,"STS Average (3 datasets)":64.46,"Summarization Average (1 datasets)":31.56}
|
| 49 |
+
{"index":55,"Rank":49,"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 (26 datasets)":41.89,"Classification Average (6 datasets)":48.37,"Clustering Average (7 datasets)":40.43,"PairClassification Average (2 datasets)":70.43,"Reranking Average (2 datasets)":52.62,"Retrieval Average (5 datasets)":13.89,"STS Average (3 datasets)":56.57,"Summarization Average (1 datasets)":30.72}
|
| 50 |
+
{"index":24,"Rank":50,"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 (26 datasets)":37.26,"Classification Average (6 datasets)":46.09,"Clustering Average (7 datasets)":34.09,"PairClassification Average (2 datasets)":70.56,"Reranking Average (2 datasets)":44.73,"Retrieval Average (5 datasets)":8.49,"STS Average (3 datasets)":50.47,"Summarization Average (1 datasets)":29.13}
|
| 51 |
+
{"index":23,"Rank":51,"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 (26 datasets)":37.22,"Classification Average (6 datasets)":46.1,"Clustering Average (7 datasets)":33.94,"PairClassification Average (2 datasets)":70.59,"Reranking Average (2 datasets)":44.73,"Retrieval Average (5 datasets)":8.5,"STS Average (3 datasets)":50.44,"Summarization Average (1 datasets)":29.06}
|
| 52 |
+
{"index":25,"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 (26 datasets)":37.16,"Classification Average (6 datasets)":46.09,"Clustering Average (7 datasets)":33.96,"PairClassification Average (2 datasets)":70.59,"Reranking Average (2 datasets)":44.75,"Retrieval Average (5 datasets)":8.51,"STS Average (3 datasets)":49.93,"Summarization Average (1 datasets)":28.84}
|
| 53 |
+
{"index":54,"Rank":53,"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 (26 datasets)":37.13,"Classification Average (6 datasets)":46.1,"Clustering Average (7 datasets)":33.82,"PairClassification Average (2 datasets)":70.59,"Reranking Average (2 datasets)":44.74,"Retrieval Average (5 datasets)":8.52,"STS Average (3 datasets)":50.02,"Summarization Average (1 datasets)":28.81}
|
| 54 |
+
{"index":62,"Rank":54,"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 (26 datasets)":31.89,"Classification Average (6 datasets)":30.38,"Clustering Average (7 datasets)":29.03,"PairClassification Average (2 datasets)":73.93,"Reranking Average (2 datasets)":39.82,"Retrieval Average (5 datasets)":7.98,"STS Average (3 datasets)":50.89,"Summarization Average (1 datasets)":23.63}
|
| 55 |
+
{"index":22,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/FacebookAI\/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 (26 datasets)":30.67,"Classification Average (6 datasets)":30.71,"Clustering Average (7 datasets)":28.62,"PairClassification Average (2 datasets)":68.62,"Reranking Average (2 datasets)":39.01,"Retrieval Average (5 datasets)":4.14,"STS Average (3 datasets)":49.27,"Summarization Average (1 datasets)":28.89}
|
| 56 |
+
{"index":21,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/FacebookAI\/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 (26 datasets)":30.38,"Classification Average (6 datasets)":31.21,"Clustering Average (7 datasets)":28.42,"PairClassification Average (2 datasets)":68.82,"Reranking Average (2 datasets)":34.66,"Retrieval Average (5 datasets)":3.2,"STS Average (3 datasets)":50.52,"Summarization Average (1 datasets)":29.14}
|
| 57 |
+
{"index":51,"Rank":57,"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 (26 datasets)":30.07,"Classification Average (6 datasets)":24.91,"Clustering Average (7 datasets)":27.18,"PairClassification Average (2 datasets)":67.17,"Reranking Average (2 datasets)":45.34,"Retrieval Average (5 datasets)":5.87,"STS Average (3 datasets)":52.12,"Summarization Average (1 datasets)":31.26}
|
| 58 |
+
{"index":52,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_uncased\">flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":27.58,"Classification Average (6 datasets)":23.28,"Clustering Average (7 datasets)":22.45,"PairClassification Average (2 datasets)":67.44,"Reranking Average (2 datasets)":45.86,"Retrieval Average (5 datasets)":6.73,"STS Average (3 datasets)":43.49,"Summarization Average (1 datasets)":29.43}
|
| 59 |
+
{"index":53,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_large_cased\">flaubert_large_cased<\/a>","Model Size (Million Parameters)":372,"Memory Usage (GB, fp32)":1.39,"Embedding Dimensions":1024,"Max Tokens":512,"Average (26 datasets)":25.81,"Classification Average (6 datasets)":25.21,"Clustering Average (7 datasets)":25.11,"PairClassification Average (2 datasets)":70.42,"Reranking Average (2 datasets)":34.54,"Retrieval Average (5 datasets)":1.22,"STS Average (3 datasets)":32.93,"Summarization Average (1 datasets)":29.25}
|
| 60 |
+
{"index":2,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
|
| 61 |
+
{"index":7,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AdrienB134\/llm2vec-croissant-mntp\">llm2vec-croissant-mntp<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
|
| 62 |
+
{"index":18,"Rank":65,"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,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
|
| 63 |
+
{"index":19,"Rank":66,"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,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
|
| 64 |
+
{"index":20,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased-sentence\">rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
|
| 65 |
+
{"index":26,"Rank":68,"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 (26 datasets)":"","Classification Average (6 datasets)":76.28,"Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":78.35,"Reranking Average (2 datasets)":85.28,"Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
|
| 66 |
{"index":28,"Rank":69,"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 (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
|
| 67 |
{"index":34,"Rank":71,"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 (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
|
| 68 |
{"index":35,"Rank":72,"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,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
|
boards_data/fr/data_tasks/Classification/default.jsonl
CHANGED
|
@@ -52,8 +52,8 @@
|
|
| 52 |
{"index":81,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/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":50.9,"AmazonReviewsClassification (fr)":27.05,"MasakhaNEWSClassification (fra)":75.62,"MassiveIntentClassification (fr)":42.64,"MassiveScenarioClassification (fr)":49.92,"MTOPDomainClassification (fr)":72.97,"MTOPIntentClassification (fr)":37.18}
|
| 53 |
{"index":74,"Rank":53,"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":50.7,"AmazonReviewsClassification (fr)":26.88,"MasakhaNEWSClassification (fra)":68.84,"MassiveIntentClassification (fr)":42.55,"MassiveScenarioClassification (fr)":51.14,"MTOPDomainClassification (fr)":75.1,"MTOPIntentClassification (fr)":39.67}
|
| 54 |
{"index":55,"Rank":54,"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":48.37,"AmazonReviewsClassification (fr)":29.02,"MasakhaNEWSClassification (fra)":75.69,"MassiveIntentClassification (fr)":38.01,"MassiveScenarioClassification (fr)":43.63,"MTOPDomainClassification (fr)":64.49,"MTOPIntentClassification (fr)":39.4}
|
| 55 |
-
{"index":
|
| 56 |
-
{"index":
|
| 57 |
{"index":25,"Rank":57,"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":46.09,"AmazonReviewsClassification (fr)":29.39,"MasakhaNEWSClassification (fra)":63.91,"MassiveIntentClassification (fr)":37.3,"MassiveScenarioClassification (fr)":44.47,"MTOPDomainClassification (fr)":63.63,"MTOPIntentClassification (fr)":37.86}
|
| 58 |
{"index":24,"Rank":58,"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":46.09,"AmazonReviewsClassification (fr)":29.35,"MasakhaNEWSClassification (fra)":63.89,"MassiveIntentClassification (fr)":37.28,"MassiveScenarioClassification (fr)":44.47,"MTOPDomainClassification (fr)":63.7,"MTOPIntentClassification (fr)":37.85}
|
| 59 |
{"index":21,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/FacebookAI\/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":31.21,"AmazonReviewsClassification (fr)":26.75,"MasakhaNEWSClassification (fra)":60.5,"MassiveIntentClassification (fr)":13.58,"MassiveScenarioClassification (fr)":23.21,"MTOPDomainClassification (fr)":43.83,"MTOPIntentClassification (fr)":19.38}
|
|
|
|
| 52 |
{"index":81,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/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":50.9,"AmazonReviewsClassification (fr)":27.05,"MasakhaNEWSClassification (fra)":75.62,"MassiveIntentClassification (fr)":42.64,"MassiveScenarioClassification (fr)":49.92,"MTOPDomainClassification (fr)":72.97,"MTOPIntentClassification (fr)":37.18}
|
| 53 |
{"index":74,"Rank":53,"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":50.7,"AmazonReviewsClassification (fr)":26.88,"MasakhaNEWSClassification (fra)":68.84,"MassiveIntentClassification (fr)":42.55,"MassiveScenarioClassification (fr)":51.14,"MTOPDomainClassification (fr)":75.1,"MTOPIntentClassification (fr)":39.67}
|
| 54 |
{"index":55,"Rank":54,"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":48.37,"AmazonReviewsClassification (fr)":29.02,"MasakhaNEWSClassification (fra)":75.69,"MassiveIntentClassification (fr)":38.01,"MassiveScenarioClassification (fr)":43.63,"MTOPDomainClassification (fr)":64.49,"MTOPIntentClassification (fr)":39.4}
|
| 55 |
+
{"index":54,"Rank":55,"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":46.1,"AmazonReviewsClassification (fr)":29.39,"MasakhaNEWSClassification (fra)":64.0,"MassiveIntentClassification (fr)":37.3,"MassiveScenarioClassification (fr)":44.47,"MTOPDomainClassification (fr)":63.61,"MTOPIntentClassification (fr)":37.84}
|
| 56 |
+
{"index":23,"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":46.1,"AmazonReviewsClassification (fr)":29.38,"MasakhaNEWSClassification (fra)":63.93,"MassiveIntentClassification (fr)":37.28,"MassiveScenarioClassification (fr)":44.5,"MTOPDomainClassification (fr)":63.65,"MTOPIntentClassification (fr)":37.87}
|
| 57 |
{"index":25,"Rank":57,"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":46.09,"AmazonReviewsClassification (fr)":29.39,"MasakhaNEWSClassification (fra)":63.91,"MassiveIntentClassification (fr)":37.3,"MassiveScenarioClassification (fr)":44.47,"MTOPDomainClassification (fr)":63.63,"MTOPIntentClassification (fr)":37.86}
|
| 58 |
{"index":24,"Rank":58,"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":46.09,"AmazonReviewsClassification (fr)":29.35,"MasakhaNEWSClassification (fra)":63.89,"MassiveIntentClassification (fr)":37.28,"MassiveScenarioClassification (fr)":44.47,"MTOPDomainClassification (fr)":63.7,"MTOPIntentClassification (fr)":37.85}
|
| 59 |
{"index":21,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/FacebookAI\/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":31.21,"AmazonReviewsClassification (fr)":26.75,"MasakhaNEWSClassification (fra)":60.5,"MassiveIntentClassification (fr)":13.58,"MassiveScenarioClassification (fr)":23.21,"MTOPDomainClassification (fr)":43.83,"MTOPIntentClassification (fr)":19.38}
|
boards_data/fr/data_tasks/PairClassification/default.jsonl
CHANGED
|
@@ -51,8 +51,8 @@
|
|
| 51 |
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| 52 |
{"index":73,"Rank":52,"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}
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| 53 |
{"index":74,"Rank":53,"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}
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| 54 |
-
{"index":
|
| 55 |
-
{"index":
|
| 56 |
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| 57 |
{"index":24,"Rank":57,"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}
|
| 58 |
{"index":55,"Rank":58,"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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|
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|
| 51 |
{"index":75,"Rank":51,"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}
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| 52 |
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|
| 53 |
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|
| 54 |
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{"index":25,"Rank":54,"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}
|
| 55 |
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{"index":23,"Rank":55,"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}
|
| 56 |
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|
| 57 |
{"index":24,"Rank":57,"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}
|
| 58 |
{"index":55,"Rank":58,"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/Retrieval/default.jsonl
CHANGED
|
@@ -4,67 +4,67 @@
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|
| 4 |
{"index":63,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":53.48,"AlloprofRetrieval":54.28,"BSARDRetrieval":24.76,"MintakaRetrieval (fr)":26.91,"SyntecRetrieval":83.85,"XPQARetrieval (fr)":77.58}
|
| 5 |
{"index":4,"Rank":5,"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}
|
| 6 |
{"index":11,"Rank":6,"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}
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| 7 |
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{"index":
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| 8 |
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{"index":
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| 9 |
{"index":30,"Rank":9,"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}
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| 10 |
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-
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-
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-
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-
{"index":
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-
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-
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-
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{"index":28,"Rank":71,"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":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
| 69 |
{"index":34,"Rank":73,"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":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
| 70 |
{"index":35,"Rank":74,"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,"Average":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
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{"index":63,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":53.48,"AlloprofRetrieval":54.28,"BSARDRetrieval":24.76,"MintakaRetrieval (fr)":26.91,"SyntecRetrieval":83.85,"XPQARetrieval (fr)":77.58}
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| 5 |
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|
| 6 |
{"index":11,"Rank":6,"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}
|
| 7 |
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{"index":9,"Rank":7,"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}
|
| 8 |
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{"index":69,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":52.56,"AlloprofRetrieval":57.89,"BSARDRetrieval":6.3,"MintakaRetrieval (fr)":42.56,"SyntecRetrieval":90.47,"XPQARetrieval (fr)":65.58}
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| 9 |
{"index":30,"Rank":9,"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}
|
| 10 |
{"index":94,"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 |
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{"index":27,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":47.85,"AlloprofRetrieval":46.75,"BSARDRetrieval":20.47,"MintakaRetrieval (fr)":27.4,"SyntecRetrieval":82.44,"XPQARetrieval (fr)":62.19}
|
| 12 |
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{"index":0,"Rank":12,"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}
|
| 13 |
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{"index":39,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/OrdalieTech\/Solon-embeddings-large-0.1\">Solon-embeddings-large-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":46.78,"AlloprofRetrieval":46.94,"BSARDRetrieval":2.08,"MintakaRetrieval (fr)":30.07,"SyntecRetrieval":84.6,"XPQARetrieval (fr)":70.22}
|
| 14 |
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{"index":31,"Rank":14,"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":46.68,"AlloprofRetrieval":44.42,"BSARDRetrieval":12.01,"MintakaRetrieval (fr)":25.19,"SyntecRetrieval":82.86,"XPQARetrieval (fr)":68.91}
|
| 15 |
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{"index":3,"Rank":15,"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":45.33,"AlloprofRetrieval":52.61,"BSARDRetrieval":0.29,"MintakaRetrieval (fr)":19.05,"SyntecRetrieval":82.77,"XPQARetrieval (fr)":71.95}
|
| 16 |
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{"index":29,"Rank":16,"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,"Average":44.99,"AlloprofRetrieval":41.26,"BSARDRetrieval":12.22,"MintakaRetrieval (fr)":27.6,"SyntecRetrieval":79.68,"XPQARetrieval (fr)":64.21}
|
| 17 |
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{"index":67,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.3\">sentence_croissant_alpha_v0.3<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":44.9,"AlloprofRetrieval":49.84,"BSARDRetrieval":0.22,"MintakaRetrieval (fr)":31.25,"SyntecRetrieval":76.63,"XPQARetrieval (fr)":66.55}
|
| 18 |
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{"index":68,"Rank":18,"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,"Average":44.41,"AlloprofRetrieval":49.05,"BSARDRetrieval":0.16,"MintakaRetrieval (fr)":31.06,"SyntecRetrieval":76.96,"XPQARetrieval (fr)":64.8}
|
| 19 |
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{"index":66,"Rank":19,"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,"Average":43.85,"AlloprofRetrieval":47.69,"BSARDRetrieval":1.75,"MintakaRetrieval (fr)":27.88,"SyntecRetrieval":77.67,"XPQARetrieval (fr)":64.27}
|
| 20 |
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{"index":87,"Rank":20,"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":43.84,"AlloprofRetrieval":45.75,"BSARDRetrieval":3.33,"MintakaRetrieval (fr)":34.93,"SyntecRetrieval":78.97,"XPQARetrieval (fr)":56.2}
|
| 21 |
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{"index":64,"Rank":21,"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,"Average":43.58,"AlloprofRetrieval":45.1,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":25.17,"SyntecRetrieval":79.14,"XPQARetrieval (fr)":68.49}
|
| 22 |
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{"index":93,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":42.96,"AlloprofRetrieval":38.06,"BSARDRetrieval":11.04,"MintakaRetrieval (fr)":27.48,"SyntecRetrieval":78.2,"XPQARetrieval (fr)":60.02}
|
| 23 |
+
{"index":32,"Rank":23,"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":42.92,"AlloprofRetrieval":39.89,"BSARDRetrieval":8.41,"MintakaRetrieval (fr)":25.52,"SyntecRetrieval":77.57,"XPQARetrieval (fr)":63.2}
|
| 24 |
+
{"index":58,"Rank":24,"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":42.17,"AlloprofRetrieval":38.15,"BSARDRetrieval":0.27,"MintakaRetrieval (fr)":25.2,"SyntecRetrieval":81.07,"XPQARetrieval (fr)":66.15}
|
| 25 |
+
{"index":57,"Rank":25,"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":41.19,"AlloprofRetrieval":36.21,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":23.46,"SyntecRetrieval":80.49,"XPQARetrieval (fr)":65.81}
|
| 26 |
+
{"index":65,"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,"Average":41.15,"AlloprofRetrieval":45.41,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":25.7,"SyntecRetrieval":75.75,"XPQARetrieval (fr)":58.88}
|
| 27 |
+
{"index":1,"Rank":27,"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":4000,"Average":40.81,"AlloprofRetrieval":45.5,"BSARDRetrieval":0.15,"MintakaRetrieval (fr)":15.51,"SyntecRetrieval":75.83,"XPQARetrieval (fr)":67.07}
|
| 28 |
+
{"index":17,"Rank":28,"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":40.42,"AlloprofRetrieval":38.36,"BSARDRetrieval":0.14,"MintakaRetrieval (fr)":25.44,"SyntecRetrieval":79.27,"XPQARetrieval (fr)":58.87}
|
| 29 |
+
{"index":47,"Rank":29,"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":40.04,"AlloprofRetrieval":31.62,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":21.87,"SyntecRetrieval":81.11,"XPQARetrieval (fr)":65.62}
|
| 30 |
+
{"index":86,"Rank":30,"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":39.69,"AlloprofRetrieval":40.38,"BSARDRetrieval":0.14,"MintakaRetrieval (fr)":31.54,"SyntecRetrieval":74.24,"XPQARetrieval (fr)":52.14}
|
| 31 |
+
{"index":91,"Rank":31,"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,"Average":38.16,"AlloprofRetrieval":35.27,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":26.12,"SyntecRetrieval":69.82,"XPQARetrieval (fr)":59.59}
|
| 32 |
+
{"index":83,"Rank":32,"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":38.13,"AlloprofRetrieval":30.8,"BSARDRetrieval":13.19,"MintakaRetrieval (fr)":24.45,"SyntecRetrieval":76.0,"XPQARetrieval (fr)":46.22}
|
| 33 |
+
{"index":92,"Rank":33,"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,"Average":37.78,"AlloprofRetrieval":33.78,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":26.21,"SyntecRetrieval":63.69,"XPQARetrieval (fr)":65.21}
|
| 34 |
+
{"index":40,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Wissam42\/sentence-croissant-llm-base\">sentence-croissant-llm-base<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":36.81,"AlloprofRetrieval":29.97,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":21.31,"SyntecRetrieval":74.2,"XPQARetrieval (fr)":58.57}
|
| 35 |
+
{"index":60,"Rank":35,"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":36.55,"AlloprofRetrieval":27.01,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":22.53,"SyntecRetrieval":75.76,"XPQARetrieval (fr)":57.47}
|
| 36 |
+
{"index":16,"Rank":36,"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":36.1,"AlloprofRetrieval":35.39,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":23.0,"SyntecRetrieval":76.88,"XPQARetrieval (fr)":45.23}
|
| 37 |
+
{"index":85,"Rank":37,"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":35.66,"AlloprofRetrieval":34.52,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":23.92,"SyntecRetrieval":71.05,"XPQARetrieval (fr)":48.79}
|
| 38 |
+
{"index":73,"Rank":38,"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":34.44,"AlloprofRetrieval":33.2,"BSARDRetrieval":6.24,"MintakaRetrieval (fr)":16.08,"SyntecRetrieval":60.8,"XPQARetrieval (fr)":55.9}
|
| 39 |
+
{"index":78,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":512,"Max Tokens":512,"Average":33.22,"AlloprofRetrieval":26.99,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":22.55,"SyntecRetrieval":65.34,"XPQARetrieval (fr)":51.2}
|
| 40 |
+
{"index":46,"Rank":40,"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":32.37,"AlloprofRetrieval":21.94,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":13.36,"SyntecRetrieval":68.62,"XPQARetrieval (fr)":57.92}
|
| 41 |
+
{"index":84,"Rank":41,"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":32.18,"AlloprofRetrieval":27.52,"BSARDRetrieval":0.16,"MintakaRetrieval (fr)":21.04,"SyntecRetrieval":67.0,"XPQARetrieval (fr)":45.19}
|
| 42 |
+
{"index":82,"Rank":42,"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":31.24,"AlloprofRetrieval":26.63,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":21.53,"SyntecRetrieval":65.54,"XPQARetrieval (fr)":42.51}
|
| 43 |
+
{"index":74,"Rank":43,"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":30.87,"AlloprofRetrieval":28.41,"BSARDRetrieval":4.8,"MintakaRetrieval (fr)":9.19,"SyntecRetrieval":60.15,"XPQARetrieval (fr)":51.79}
|
| 44 |
+
{"index":81,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/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":30.69,"AlloprofRetrieval":30.23,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":16.31,"SyntecRetrieval":58.07,"XPQARetrieval (fr)":48.83}
|
| 45 |
+
{"index":72,"Rank":45,"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,"Average":28.47,"AlloprofRetrieval":19.77,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":15.53,"SyntecRetrieval":55.31,"XPQARetrieval (fr)":51.74}
|
| 46 |
+
{"index":90,"Rank":46,"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":256,"Average":24.76,"AlloprofRetrieval":18.9,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":14.81,"SyntecRetrieval":49.69,"XPQARetrieval (fr)":40.4}
|
| 47 |
+
{"index":56,"Rank":47,"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":23.44,"AlloprofRetrieval":16.46,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":3.57,"SyntecRetrieval":55.9,"XPQARetrieval (fr)":41.29}
|
| 48 |
+
{"index":61,"Rank":48,"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":17.91,"AlloprofRetrieval":12.37,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":2.78,"SyntecRetrieval":40.57,"XPQARetrieval (fr)":33.82}
|
| 49 |
+
{"index":6,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Embedding Dimensions":1024,"Max Tokens":"N\/A","Average":16.19,"AlloprofRetrieval":3.1,"BSARDRetrieval":0.36,"MintakaRetrieval (fr)":6.31,"SyntecRetrieval":28.58,"XPQARetrieval (fr)":42.59}
|
| 50 |
+
{"index":55,"Rank":50,"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":13.89,"AlloprofRetrieval":5.51,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":2.87,"SyntecRetrieval":34.95,"XPQARetrieval (fr)":26.12}
|
| 51 |
+
{"index":8,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AdrienB134\/llm2vec-occiglot-mntp\">llm2vec-occiglot-mntp<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":12.94,"AlloprofRetrieval":6.83,"BSARDRetrieval":2.18,"MintakaRetrieval (fr)":1.66,"SyntecRetrieval":27.64,"XPQARetrieval (fr)":26.39}
|
| 52 |
+
{"index":54,"Rank":52,"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":8.52,"AlloprofRetrieval":1.63,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":3.55,"SyntecRetrieval":18.95,"XPQARetrieval (fr)":18.49}
|
| 53 |
+
{"index":25,"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":8.51,"AlloprofRetrieval":1.6,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":3.55,"SyntecRetrieval":18.95,"XPQARetrieval (fr)":18.46}
|
| 54 |
+
{"index":23,"Rank":54,"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":8.5,"AlloprofRetrieval":1.6,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":3.55,"SyntecRetrieval":18.95,"XPQARetrieval (fr)":18.39}
|
| 55 |
+
{"index":24,"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":8.49,"AlloprofRetrieval":1.61,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":3.55,"SyntecRetrieval":18.95,"XPQARetrieval (fr)":18.35}
|
| 56 |
+
{"index":62,"Rank":56,"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":7.98,"AlloprofRetrieval":1.98,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":0.48,"SyntecRetrieval":24.45,"XPQARetrieval (fr)":12.98}
|
| 57 |
+
{"index":52,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_uncased\">flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":6.73,"AlloprofRetrieval":1.72,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":0.51,"SyntecRetrieval":22.33,"XPQARetrieval (fr)":9.09}
|
| 58 |
+
{"index":51,"Rank":58,"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":5.87,"AlloprofRetrieval":1.63,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":0.58,"SyntecRetrieval":20.56,"XPQARetrieval (fr)":6.59}
|
| 59 |
+
{"index":22,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/FacebookAI\/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":4.14,"AlloprofRetrieval":0.52,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":0.9,"SyntecRetrieval":6.6,"XPQARetrieval (fr)":12.7}
|
| 60 |
+
{"index":21,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/FacebookAI\/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":3.2,"AlloprofRetrieval":0.16,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":0.88,"SyntecRetrieval":3.33,"XPQARetrieval (fr)":11.65}
|
| 61 |
+
{"index":53,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_large_cased\">flaubert_large_cased<\/a>","Model Size (Million Parameters)":372,"Memory Usage (GB, fp32)":1.39,"Embedding Dimensions":1024,"Max Tokens":512,"Average":1.22,"AlloprofRetrieval":0.58,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":0.26,"SyntecRetrieval":1.58,"XPQARetrieval (fr)":3.69}
|
| 62 |
+
{"index":2,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"Average":"","AlloprofRetrieval":73.76,"BSARDRetrieval":44.87,"MintakaRetrieval (fr)":44.56,"SyntecRetrieval":87.54,"XPQARetrieval (fr)":""}
|
| 63 |
+
{"index":7,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AdrienB134\/llm2vec-croissant-mntp\">llm2vec-croissant-mntp<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
| 64 |
+
{"index":18,"Rank":67,"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,"Average":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
| 65 |
+
{"index":19,"Rank":68,"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,"Average":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
| 66 |
+
{"index":20,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased-sentence\">rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
| 67 |
+
{"index":26,"Rank":70,"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":"","AlloprofRetrieval":55.42,"BSARDRetrieval":26.61,"MintakaRetrieval (fr)":51.68,"SyntecRetrieval":89.48,"XPQARetrieval (fr)":""}
|
| 68 |
{"index":28,"Rank":71,"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":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
| 69 |
{"index":34,"Rank":73,"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":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
| 70 |
{"index":35,"Rank":74,"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,"Average":"","AlloprofRetrieval":"","BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":""}
|
boards_data/fr/data_tasks/Summarization/default.jsonl
CHANGED
|
@@ -13,15 +13,15 @@
|
|
| 13 |
{"index":12,"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":51,"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":58,"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":
|
| 17 |
-
{"index":
|
| 18 |
{"index":57,"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,"SummEvalFr":30.76}
|
| 19 |
{"index":55,"Rank":19,"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,"SummEvalFr":30.72}
|
| 20 |
{"index":63,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"SummEvalFr":30.71}
|
| 21 |
{"index":27,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"SummEvalFr":30.52}
|
| 22 |
-
{"index":
|
| 23 |
-
{"index":
|
| 24 |
-
{"index":
|
| 25 |
{"index":87,"Rank":25,"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}
|
| 26 |
{"index":4,"Rank":26,"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}
|
| 27 |
{"index":30,"Rank":27,"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}
|
|
|
|
| 13 |
{"index":12,"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":51,"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":58,"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":47,"Rank":16,"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}
|
| 17 |
+
{"index":1,"Rank":17,"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":4000,"SummEvalFr":30.88}
|
| 18 |
{"index":57,"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,"SummEvalFr":30.76}
|
| 19 |
{"index":55,"Rank":19,"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,"SummEvalFr":30.72}
|
| 20 |
{"index":63,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"SummEvalFr":30.71}
|
| 21 |
{"index":27,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"SummEvalFr":30.52}
|
| 22 |
+
{"index":69,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mav23\/gte-Qwen2-1.5B-instruct-GGUF\">gte-Qwen2-1.5B-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEvalFr":30.5}
|
| 23 |
+
{"index":9,"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,"SummEvalFr":30.5}
|
| 24 |
+
{"index":94,"Rank":24,"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,"SummEvalFr":30.5}
|
| 25 |
{"index":87,"Rank":25,"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}
|
| 26 |
{"index":4,"Rank":26,"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}
|
| 27 |
{"index":30,"Rank":27,"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}
|
boards_data/other-sts/data_tasks/STS/default.jsonl
CHANGED
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