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{"Rank":1,"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,"Average (56 datasets)":66.28,"Classification Average (12 datasets)":82.44,"Clustering Average (11 datasets)":53.35,"PairClassification Average (3 datasets)":89.24,"Reranking Average (4 datasets)":60.09,"Retrieval Average (15 datasets)":58.28,"STS Average (10 datasets)":85.84,"Summarization Average (1 datasets)":30.84}
{"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":65.31,"Classification Average (12 datasets)":78.87,"Clustering Average (11 datasets)":55.83,"PairClassification Average (3 datasets)":87.38,"Reranking Average (4 datasets)":60.13,"Retrieval Average (15 datasets)":56.24,"STS Average (10 datasets)":83.75,"Summarization Average (1 datasets)":31.46}
{"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average (56 datasets)":65.0,"Classification Average (12 datasets)":79.28,"Clustering Average (11 datasets)":52.42,"PairClassification Average (3 datasets)":86.87,"Reranking Average (4 datasets)":58.24,"Retrieval Average (15 datasets)":56.6,"STS Average (10 datasets)":86.75,"Summarization Average (1 datasets)":31.01}
{"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">google-gecko.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average (56 datasets)":64.12,"Classification Average (12 datasets)":83.05,"Clustering Average (11 datasets)":47.48,"PairClassification Average (3 datasets)":87.61,"Reranking Average (4 datasets)":58.9,"Retrieval Average (15 datasets)":55.7,"STS Average (10 datasets)":86.32,"Summarization Average (1 datasets)":32.63}
{"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average (56 datasets)":62.87,"Classification Average (12 datasets)":76.12,"Clustering Average (11 datasets)":47.4,"PairClassification Average (3 datasets)":86.57,"Reranking Average (4 datasets)":59.74,"Retrieval Average (15 datasets)":55.58,"STS Average (10 datasets)":84.56,"Summarization Average (1 datasets)":30.97}
{"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised\">LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average (56 datasets)":62.77,"Classification Average (12 datasets)":73.46,"Clustering Average (11 datasets)":46.45,"PairClassification Average (3 datasets)":87.79,"Reranking Average (4 datasets)":59.68,"Retrieval Average (15 datasets)":56.63,"STS Average (10 datasets)":84.82,"Summarization Average (1 datasets)":30.94}
{"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average (56 datasets)":62.67,"Classification Average (12 datasets)":75.49,"Clustering Average (11 datasets)":49.01,"PairClassification Average (3 datasets)":85.72,"Reranking Average (4 datasets)":59.16,"Retrieval Average (15 datasets)":55.44,"STS Average (10 datasets)":82.61,"Summarization Average (1 datasets)":29.92}
{"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised\">LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":62.54,"Classification Average (12 datasets)":75.05,"Clustering Average (11 datasets)":45.54,"PairClassification Average (3 datasets)":87.99,"Reranking Average (4 datasets)":58.42,"Retrieval Average (15 datasets)":55.99,"STS Average (10 datasets)":85.38,"Summarization Average (1 datasets)":29.96}
{"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">google-gecko-256.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average (56 datasets)":62.3,"Classification Average (12 datasets)":81.98,"Clustering Average (11 datasets)":45.07,"PairClassification Average (3 datasets)":87.25,"Reranking Average (4 datasets)":57.78,"Retrieval Average (15 datasets)":52.44,"STS Average (10 datasets)":86.36,"Summarization Average (1 datasets)":32.36}
{"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average (56 datasets)":61.78,"Classification Average (12 datasets)":74.58,"Clustering Average (11 datasets)":45.24,"PairClassification Average (3 datasets)":88.03,"Reranking Average (4 datasets)":57.38,"Retrieval Average (15 datasets)":54.6,"STS Average (10 datasets)":84.89,"Summarization Average (1 datasets)":28.49}
{"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average (56 datasets)":60.3,"Classification Average (12 datasets)":73.63,"Clustering Average (11 datasets)":46.65,"PairClassification Average (3 datasets)":85.04,"Reranking Average (4 datasets)":56.72,"Retrieval Average (15 datasets)":51.08,"STS Average (10 datasets)":82.49,"Summarization Average (1 datasets)":31.12}
{"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average (56 datasets)":60.17,"Classification Average (12 datasets)":72.29,"Clustering Average (11 datasets)":46.23,"PairClassification Average (3 datasets)":84.22,"Reranking Average (4 datasets)":57.99,"Retrieval Average (15 datasets)":51.66,"STS Average (10 datasets)":82.05,"Summarization Average (1 datasets)":29.92}
{"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":512,"Max Tokens":8192,"Average (56 datasets)":59.98,"Classification Average (12 datasets)":73.48,"Clustering Average (11 datasets)":43.71,"PairClassification Average (3 datasets)":84.59,"Reranking Average (4 datasets)":55.65,"Retrieval Average (15 datasets)":52.4,"STS Average (10 datasets)":83.07,"Summarization Average (1 datasets)":30.47}
{"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-supervised\">LLM2Vec-Sheared-Llama-supervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average (56 datasets)":59.6,"Classification Average (12 datasets)":70.41,"Clustering Average (11 datasets)":43.57,"PairClassification Average (3 datasets)":86.21,"Reranking Average (4 datasets)":55.38,"Retrieval Average (15 datasets)":51.44,"STS Average (10 datasets)":84.68,"Summarization Average (1 datasets)":30.01}
{"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":256,"Max Tokens":8192,"Average (56 datasets)":59.1,"Classification Average (12 datasets)":72.5,"Clustering Average (11 datasets)":43.16,"PairClassification Average (3 datasets)":84.09,"Reranking Average (4 datasets)":55.18,"Retrieval Average (15 datasets)":50.81,"STS Average (10 datasets)":82.72,"Summarization Average (1 datasets)":30.05}
{"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average (56 datasets)":59.04,"Classification Average (12 datasets)":71.37,"Clustering Average (11 datasets)":45.9,"PairClassification Average (3 datasets)":84.89,"Reranking Average (4 datasets)":56.32,"Retrieval Average (15 datasets)":49.25,"STS Average (10 datasets)":81.42,"Summarization Average (1 datasets)":30.8}
{"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-128<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":128,"Max Tokens":8192,"Average (56 datasets)":57.45,"Classification Average (12 datasets)":70.24,"Clustering Average (11 datasets)":42.24,"PairClassification Average (3 datasets)":83.54,"Reranking Average (4 datasets)":54.56,"Retrieval Average (15 datasets)":47.75,"STS Average (10 datasets)":82.11,"Summarization Average (1 datasets)":29.59}
{"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":57.14,"Classification Average (12 datasets)":74.32,"Clustering Average (11 datasets)":43.72,"PairClassification Average (3 datasets)":85.06,"Reranking Average (4 datasets)":56.42,"Retrieval Average (15 datasets)":42.24,"STS Average (10 datasets)":83.94,"Summarization Average (1 datasets)":30.08}
{"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xxl\">gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":57.02,"Classification Average (12 datasets)":65.73,"Clustering Average (11 datasets)":42.42,"PairClassification Average (3 datasets)":86.12,"Reranking Average (4 datasets)":56.66,"Retrieval Average (15 datasets)":48.48,"STS Average (10 datasets)":79.11,"Summarization Average (1 datasets)":30.64}
{"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-xl\">gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":56.41,"Classification Average (12 datasets)":65.47,"Clustering Average (11 datasets)":41.51,"PairClassification Average (3 datasets)":86.13,"Reranking Average (4 datasets)":55.96,"Retrieval Average (15 datasets)":47.96,"STS Average (10 datasets)":78.31,"Summarization Average (1 datasets)":30.21}
{"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-large\">gtr-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":56.34,"Classification Average (12 datasets)":65.84,"Clustering Average (11 datasets)":41.6,"PairClassification Average (3 datasets)":85.32,"Reranking Average (4 datasets)":55.36,"Retrieval Average (15 datasets)":47.42,"STS Average (10 datasets)":79.21,"Summarization Average (1 datasets)":29.5}
{"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":55.72,"Classification Average (12 datasets)":63.06,"Clustering Average (11 datasets)":43.69,"PairClassification Average (3 datasets)":83.04,"Reranking Average (4 datasets)":59.36,"Retrieval Average (15 datasets)":43.81,"STS Average (10 datasets)":80.53,"Summarization Average (1 datasets)":27.49}
{"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":55.39,"Classification Average (12 datasets)":74.28,"Clustering Average (11 datasets)":42.34,"PairClassification Average (3 datasets)":86.06,"Reranking Average (4 datasets)":54.71,"Retrieval Average (15 datasets)":38.47,"STS Average (10 datasets)":82.92,"Summarization Average (1 datasets)":29.91}
{"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":54.59,"Classification Average (12 datasets)":74.02,"Clustering Average (11 datasets)":41.65,"PairClassification Average (3 datasets)":84.97,"Reranking Average (4 datasets)":54.0,"Retrieval Average (15 datasets)":36.71,"STS Average (10 datasets)":83.36,"Summarization Average (1 datasets)":29.64}
{"Rank":25,"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 (56 datasets)":54.56,"Classification Average (12 datasets)":61.0,"Clustering Average (11 datasets)":41.81,"PairClassification Average (3 datasets)":82.41,"Reranking Average (4 datasets)":58.44,"Retrieval Average (15 datasets)":42.69,"STS Average (10 datasets)":80.47,"Summarization Average (1 datasets)":27.9}
{"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-64<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":64,"Max Tokens":8192,"Average (56 datasets)":54.16,"Classification Average (12 datasets)":67.58,"Clustering Average (11 datasets)":40.31,"PairClassification Average (3 datasets)":82.26,"Reranking Average (4 datasets)":53.42,"Retrieval Average (15 datasets)":40.92,"STS Average (10 datasets)":81.04,"Summarization Average (1 datasets)":28.41}
{"Rank":27,"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 (56 datasets)":54.12,"Classification Average (12 datasets)":60.5,"Clustering Average (11 datasets)":41.94,"PairClassification Average (3 datasets)":82.37,"Reranking Average (4 datasets)":58.04,"Retrieval Average (15 datasets)":41.95,"STS Average (10 datasets)":79.27,"Summarization Average (1 datasets)":30.81}
{"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/gtr-t5-base\">gtr-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":53.95,"Classification Average (12 datasets)":62.98,"Clustering Average (11 datasets)":38.63,"PairClassification Average (3 datasets)":83.85,"Reranking Average (4 datasets)":54.23,"Retrieval Average (15 datasets)":44.67,"STS Average (10 datasets)":77.35,"Summarization Average (1 datasets)":29.67}
{"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average (56 datasets)":53.9,"Classification Average (12 datasets)":62.89,"Clustering Average (11 datasets)":32.28,"PairClassification Average (3 datasets)":81.32,"Reranking Average (4 datasets)":53.27,"Retrieval Average (15 datasets)":50.02,"STS Average (10 datasets)":77.03,"Summarization Average (1 datasets)":31.03}
{"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse\">LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":53.54,"Classification Average (12 datasets)":71.65,"Clustering Average (11 datasets)":40.63,"PairClassification Average (3 datasets)":80.94,"Reranking Average (4 datasets)":53.98,"Retrieval Average (15 datasets)":38.05,"STS Average (10 datasets)":79.19,"Summarization Average (1 datasets)":30.19}
{"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nthakur\/contriever-base-msmarco\">contriever-base-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":53.53,"Classification Average (12 datasets)":64.05,"Clustering Average (11 datasets)":41.1,"PairClassification Average (3 datasets)":82.54,"Reranking Average (4 datasets)":53.14,"Retrieval Average (15 datasets)":41.88,"STS Average (10 datasets)":76.77,"Summarization Average (1 datasets)":30.36}
{"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse\">LLM2Vec-Meta-Llama-3-unsupervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average (56 datasets)":53.21,"Classification Average (12 datasets)":69.53,"Clustering Average (11 datasets)":41.99,"PairClassification Average (3 datasets)":78.01,"Reranking Average (4 datasets)":53.09,"Retrieval Average (15 datasets)":39.19,"STS Average (10 datasets)":76.16,"Summarization Average (1 datasets)":31.45}
{"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":52.63,"Classification Average (12 datasets)":70.2,"Clustering Average (11 datasets)":40.21,"PairClassification Average (3 datasets)":85.18,"Reranking Average (4 datasets)":53.09,"Retrieval Average (15 datasets)":33.63,"STS Average (10 datasets)":82.4,"Summarization Average (1 datasets)":31.39}
{"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse\">LLM2Vec-Llama-2-unsupervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average (56 datasets)":52.21,"Classification Average (12 datasets)":69.16,"Clustering Average (11 datasets)":40.83,"PairClassification Average (3 datasets)":77.88,"Reranking Average (4 datasets)":52.95,"Retrieval Average (15 datasets)":36.75,"STS Average (10 datasets)":76.73,"Summarization Average (1 datasets)":31.38}
{"Rank":35,"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 (56 datasets)":51.93,"Classification Average (12 datasets)":65.42,"Clustering Average (11 datasets)":38.5,"PairClassification Average (3 datasets)":80.81,"Reranking Average (4 datasets)":53.8,"Retrieval Average (15 datasets)":35.34,"STS Average (10 datasets)":82.15,"Summarization Average (1 datasets)":31.57}
{"Rank":36,"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 (56 datasets)":49.8,"Classification Average (12 datasets)":62.33,"Clustering Average (11 datasets)":37.14,"PairClassification Average (3 datasets)":78.45,"Reranking Average (4 datasets)":53.62,"Retrieval Average (15 datasets)":32.45,"STS Average (10 datasets)":80.08,"Summarization Average (1 datasets)":30.67}
{"Rank":37,"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,"Average (56 datasets)":49.43,"Classification Average (12 datasets)":61.84,"Clustering Average (11 datasets)":37.64,"PairClassification Average (3 datasets)":81.74,"Reranking Average (4 datasets)":51.84,"Retrieval Average (15 datasets)":32.96,"STS Average (10 datasets)":76.41,"Summarization Average (1 datasets)":29.5}
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{"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse\">LLM2Vec-Sheared-Llama-unsupervised<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":4096,"Average (56 datasets)":45.89,"Classification Average (12 datasets)":65.42,"Clustering Average (11 datasets)":37.45,"PairClassification Average (3 datasets)":72.21,"Reranking Average (4 datasets)":47.7,"Retrieval Average (15 datasets)":25.93,"STS Average (10 datasets)":71.34,"Summarization Average (1 datasets)":31.23}
{"Rank":40,"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,"Average (56 datasets)":45.53,"Classification Average (12 datasets)":68.06,"Clustering Average (11 datasets)":33.43,"PairClassification Average (3 datasets)":73.68,"Reranking Average (4 datasets)":47.54,"Retrieval Average (15 datasets)":21.82,"STS Average (10 datasets)":79.97,"Summarization Average (1 datasets)":31.17}
{"Rank":41,"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,"Average (56 datasets)":42.37,"Classification Average (12 datasets)":63.68,"Clustering Average (11 datasets)":29.04,"PairClassification Average (3 datasets)":70.33,"Reranking Average (4 datasets)":46.47,"Retrieval Average (15 datasets)":20.29,"STS Average (10 datasets)":75.01,"Summarization Average (1 datasets)":31.15}
{"Rank":42,"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 (56 datasets)":41.72,"Classification Average (12 datasets)":60.63,"Clustering Average (11 datasets)":29.55,"PairClassification Average (3 datasets)":78.87,"Reranking Average (4 datasets)":48.42,"Retrieval Average (15 datasets)":18.99,"STS Average (10 datasets)":70.95,"Summarization Average (1 datasets)":31.05}
{"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Embedding Dimensions":300,"Max Tokens":"N\/A","Average (56 datasets)":39.04,"Classification Average (12 datasets)":56.87,"Clustering Average (11 datasets)":26.57,"PairClassification Average (3 datasets)":72.94,"Reranking Average (4 datasets)":44.75,"Retrieval Average (15 datasets)":21.22,"STS Average (10 datasets)":61.73,"Summarization Average (1 datasets)":30.49}
{"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_glove.6B.300d\">glove.6B.300d<\/a>","Model Size (Million Parameters)":120,"Memory Usage (GB, fp32)":0.45,"Embedding Dimensions":300,"Max Tokens":"N\/A","Average (56 datasets)":39.0,"Classification Average (12 datasets)":57.28,"Clustering Average (11 datasets)":27.73,"PairClassification Average (3 datasets)":70.92,"Reranking Average (4 datasets)":43.29,"Retrieval Average (15 datasets)":21.62,"STS Average (10 datasets)":60.52,"Summarization Average (1 datasets)":28.87}
{"Rank":45,"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,"Average (56 datasets)":37.73,"Classification Average (12 datasets)":51.43,"Clustering Average (11 datasets)":34.06,"PairClassification Average (3 datasets)":61.37,"Reranking Average (4 datasets)":48.1,"Retrieval Average (15 datasets)":15.88,"STS Average (10 datasets)":60.68,"Summarization Average (1 datasets)":27.66}
{"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bert-base-uncased\">bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":34.23,"Classification Average (12 datasets)":59.53,"Clustering Average (11 datasets)":30.12,"PairClassification Average (3 datasets)":56.33,"Reranking Average (4 datasets)":43.44,"Retrieval Average (15 datasets)":10.59,"STS Average (10 datasets)":52.89,"Summarization Average (1 datasets)":29.82}
{"Rank":47,"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 (56 datasets)":31.38,"Classification Average (12 datasets)":50.66,"Clustering Average (11 datasets)":15.28,"PairClassification Average (3 datasets)":68.86,"Reranking Average (4 datasets)":41.44,"Retrieval Average (15 datasets)":7.94,"STS Average (10 datasets)":64.53,"Summarization Average (1 datasets)":26.8}
{"Rank":48,"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,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":51,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":52,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":53,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/xhluca\/bm25s\">bm25s<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":39.84,"STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":55,"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)":438,"Memory Usage (GB, fp32)":1.63,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":2270,"Memory Usage (GB, fp32)":8.46,"Embedding Dimensions":1024,"Max Tokens":8192,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":58,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":59,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":60,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":61,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":62,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":63,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":64,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":65,"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 (56 datasets)":"","Classification Average (12 datasets)":69.69,"Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":82.95,"Reranking Average (4 datasets)":57.09,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":79.59,"Summarization Average (1 datasets)":30.26}
{"Rank":66,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/sbert_large_mt_nlu_ru\">sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Embedding Dimensions":1024,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/sbert_large_nlu_ru\">sbert_large_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/LaBSE-en-ru\">LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/rubert-tiny\">rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"Embedding Dimensions":512,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/rubert-tiny2\">rubert-tiny2<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":2048,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-base\">sentence-camembert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-base\">USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-bge-m3\">USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Embedding Dimensions":1024,"Max Tokens":8192,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/deberta-v1-base\">deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":77,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":78,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":79,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":80,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":81,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":83,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large-v2\">e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":84,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":86,"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 (56 datasets)":"","Classification Average (12 datasets)":70.4,"Clustering Average (11 datasets)":39.62,"PairClassification Average (3 datasets)":83.57,"Reranking Average (4 datasets)":55.03,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":81.62,"Summarization Average (1 datasets)":30.23}
{"Rank":87,"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 (56 datasets)":"","Classification Average (12 datasets)":72.63,"Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":84.75,"Reranking Average (4 datasets)":55.96,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":83.05,"Summarization Average (1 datasets)":29.65}
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{"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ipipan\/herbert-base-retrieval-v2\">herbert-base-retrieval-v2<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":90,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ipipan\/silver-retriever-base-v1\">silver-retriever-base-v1<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":91,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":92,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":93,"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,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":94,"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,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":95,"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 (56 datasets)":"","Classification Average (12 datasets)":61.68,"Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":77.61,"Reranking Average (4 datasets)":48.82,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":75.86,"Summarization Average (1 datasets)":""}
{"Rank":96,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":97,"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,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":98,"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,"Average (56 datasets)":"","Classification Average (12 datasets)":54.86,"Clustering Average (11 datasets)":23.75,"PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":100,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":101,"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 (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":102,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":104,"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,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":105,"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,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":106,"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,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":107,"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,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":108,"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,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":109,"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,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":77.46,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":110,"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,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":77.79,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
{"Rank":111,"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,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":75.9,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""}
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