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{"Rank":1,"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,"Average":55.83,"ArxivClusteringP2P":56.4,"ArxivClusteringS2S":51.45,"BiorxivClusteringP2P":49.01,"BiorxivClusteringS2S":45.06,"MedrxivClusteringP2P":44.37,"MedrxivClusteringS2S":42.0,"RedditClustering":73.37,"RedditClusteringP2P":72.51,"StackExchangeClustering":79.07,"StackExchangeClusteringP2P":49.57,"TwentyNewsgroupsClustering":51.31}
{"Rank":2,"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)":"","Average":53.35,"ArxivClusteringP2P":51.81,"ArxivClusteringS2S":44.73,"BiorxivClusteringP2P":46.07,"BiorxivClusteringS2S":40.64,"MedrxivClusteringP2P":42.94,"MedrxivClusteringS2S":41.44,"RedditClustering":68.5,"RedditClusteringP2P":64.86,"StackExchangeClustering":74.16,"StackExchangeClusteringP2P":45.1,"TwentyNewsgroupsClustering":66.62}
{"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,"Average":52.42,"ArxivClusteringP2P":51.95,"ArxivClusteringS2S":42.48,"BiorxivClusteringP2P":50.15,"BiorxivClusteringS2S":42.84,"MedrxivClusteringP2P":47.24,"MedrxivClusteringS2S":43.48,"RedditClustering":63.73,"RedditClusteringP2P":64.09,"StackExchangeClustering":70.71,"StackExchangeClusteringP2P":40.34,"TwentyNewsgroupsClustering":59.56}
{"Rank":4,"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)":"","Average":49.01,"ArxivClusteringP2P":49.01,"ArxivClusteringS2S":44.45,"BiorxivClusteringP2P":38.03,"BiorxivClusteringS2S":36.53,"MedrxivClusteringP2P":32.7,"MedrxivClusteringS2S":31.27,"RedditClustering":67.84,"RedditClusteringP2P":67.96,"StackExchangeClustering":76.26,"StackExchangeClusteringP2P":36.88,"TwentyNewsgroupsClustering":58.14}
{"Rank":5,"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,"Average":47.48,"ArxivClusteringP2P":46.27,"ArxivClusteringS2S":38.36,"BiorxivClusteringP2P":37.87,"BiorxivClusteringS2S":35.67,"MedrxivClusteringP2P":33.11,"MedrxivClusteringS2S":31.54,"RedditClustering":65.81,"RedditClusteringP2P":66.62,"StackExchangeClustering":74.52,"StackExchangeClusteringP2P":37.63,"TwentyNewsgroupsClustering":54.87}
{"Rank":6,"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)":"","Average":47.4,"ArxivClusteringP2P":47.92,"ArxivClusteringS2S":42.42,"BiorxivClusteringP2P":38.72,"BiorxivClusteringS2S":36.6,"MedrxivClusteringP2P":34.04,"MedrxivClusteringS2S":32.81,"RedditClustering":61.56,"RedditClusteringP2P":65.35,"StackExchangeClustering":70.16,"StackExchangeClusteringP2P":38.23,"TwentyNewsgroupsClustering":53.56}
{"Rank":7,"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)":"","Average":46.65,"ArxivClusteringP2P":46.57,"ArxivClusteringS2S":39.35,"BiorxivClusteringP2P":37.77,"BiorxivClusteringS2S":34.68,"MedrxivClusteringP2P":32.77,"MedrxivClusteringS2S":31.85,"RedditClustering":64.09,"RedditClusteringP2P":65.12,"StackExchangeClustering":72.05,"StackExchangeClusteringP2P":34.04,"TwentyNewsgroupsClustering":54.81}
{"Rank":8,"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,"Average":46.45,"ArxivClusteringP2P":44.27,"ArxivClusteringS2S":46.85,"BiorxivClusteringP2P":32.35,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":30.71,"MedrxivClusteringS2S":32.96,"RedditClustering":61.72,"RedditClusteringP2P":63.98,"StackExchangeClustering":72.74,"StackExchangeClusteringP2P":32.26,"TwentyNewsgroupsClustering":56.41}
{"Rank":9,"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)":"","Average":46.23,"ArxivClusteringP2P":47.05,"ArxivClusteringS2S":42.59,"BiorxivClusteringP2P":35.43,"BiorxivClusteringS2S":33.86,"MedrxivClusteringP2P":32.1,"MedrxivClusteringS2S":31.15,"RedditClustering":60.18,"RedditClusteringP2P":64.71,"StackExchangeClustering":71.23,"StackExchangeClusteringP2P":35.95,"TwentyNewsgroupsClustering":54.24}
{"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)":"","Average":45.9,"ArxivClusteringP2P":45.01,"ArxivClusteringS2S":36.85,"BiorxivClusteringP2P":36.66,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":32.6,"MedrxivClusteringS2S":30.8,"RedditClustering":61.42,"RedditClusteringP2P":64.13,"StackExchangeClustering":72.22,"StackExchangeClusteringP2P":38.49,"TwentyNewsgroupsClustering":52.56}
{"Rank":11,"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,"Average":45.54,"ArxivClusteringP2P":42.81,"ArxivClusteringS2S":44.24,"BiorxivClusteringP2P":34.27,"BiorxivClusteringS2S":35.53,"MedrxivClusteringP2P":31.07,"MedrxivClusteringS2S":31.27,"RedditClustering":60.24,"RedditClusteringP2P":64.12,"StackExchangeClustering":70.73,"StackExchangeClusteringP2P":34.5,"TwentyNewsgroupsClustering":52.18}
{"Rank":12,"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,"Average":45.24,"ArxivClusteringP2P":43.14,"ArxivClusteringS2S":42.38,"BiorxivClusteringP2P":35.88,"BiorxivClusteringS2S":34.81,"MedrxivClusteringP2P":32.23,"MedrxivClusteringS2S":31.37,"RedditClustering":61.1,"RedditClusteringP2P":64.52,"StackExchangeClustering":67.98,"StackExchangeClusteringP2P":33.2,"TwentyNewsgroupsClustering":51.04}
{"Rank":13,"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,"Average":45.07,"ArxivClusteringP2P":44.12,"ArxivClusteringS2S":36.54,"BiorxivClusteringP2P":36.28,"BiorxivClusteringS2S":33.09,"MedrxivClusteringP2P":32.08,"MedrxivClusteringS2S":30.84,"RedditClustering":62.24,"RedditClusteringP2P":63.7,"StackExchangeClustering":70.19,"StackExchangeClusteringP2P":36.1,"TwentyNewsgroupsClustering":50.6}
{"Rank":14,"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,"Average":43.72,"ArxivClusteringP2P":42.89,"ArxivClusteringS2S":33.47,"BiorxivClusteringP2P":36.53,"BiorxivClusteringS2S":28.66,"MedrxivClusteringP2P":32.09,"MedrxivClusteringS2S":26.82,"RedditClustering":58.99,"RedditClusteringP2P":64.46,"StackExchangeClustering":70.78,"StackExchangeClusteringP2P":35.25,"TwentyNewsgroupsClustering":50.93}
{"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-512<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":43.71,"ArxivClusteringP2P":45.45,"ArxivClusteringS2S":36.19,"BiorxivClusteringP2P":38.41,"BiorxivClusteringS2S":32.28,"MedrxivClusteringP2P":34.47,"MedrxivClusteringS2S":31.43,"RedditClustering":55.9,"RedditClusteringP2P":60.58,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":33.81,"TwentyNewsgroupsClustering":49.36}
{"Rank":16,"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,"Average":43.69,"ArxivClusteringP2P":48.38,"ArxivClusteringS2S":39.72,"BiorxivClusteringP2P":39.62,"BiorxivClusteringS2S":35.02,"MedrxivClusteringP2P":35.58,"MedrxivClusteringS2S":32.87,"RedditClustering":54.82,"RedditClusteringP2P":56.77,"StackExchangeClustering":53.8,"StackExchangeClusteringP2P":34.28,"TwentyNewsgroupsClustering":49.74}
{"Rank":17,"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,"Average":43.57,"ArxivClusteringP2P":43.47,"ArxivClusteringS2S":39.85,"BiorxivClusteringP2P":37.1,"BiorxivClusteringS2S":34.28,"MedrxivClusteringP2P":33.55,"MedrxivClusteringS2S":31.11,"RedditClustering":53.02,"RedditClusteringP2P":60.47,"StackExchangeClustering":63.04,"StackExchangeClusteringP2P":34.01,"TwentyNewsgroupsClustering":49.37}
{"Rank":18,"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,"Average":43.16,"ArxivClusteringP2P":44.82,"ArxivClusteringS2S":35.32,"BiorxivClusteringP2P":38.19,"BiorxivClusteringS2S":31.83,"MedrxivClusteringP2P":34.08,"MedrxivClusteringS2S":30.98,"RedditClustering":54.92,"RedditClusteringP2P":60.23,"StackExchangeClustering":61.81,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":48.56}
{"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,"Average":42.42,"ArxivClusteringP2P":37.9,"ArxivClusteringS2S":32.39,"BiorxivClusteringP2P":30.48,"BiorxivClusteringS2S":27.5,"MedrxivClusteringP2P":29.12,"MedrxivClusteringS2S":27.56,"RedditClustering":64.13,"RedditClusteringP2P":62.84,"StackExchangeClustering":71.43,"StackExchangeClusteringP2P":32.85,"TwentyNewsgroupsClustering":50.44}
{"Rank":20,"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,"Average":42.34,"ArxivClusteringP2P":41.62,"ArxivClusteringS2S":31.17,"BiorxivClusteringP2P":36.43,"BiorxivClusteringS2S":26.47,"MedrxivClusteringP2P":32.3,"MedrxivClusteringS2S":26.93,"RedditClustering":57.03,"RedditClusteringP2P":62.34,"StackExchangeClustering":67.13,"StackExchangeClusteringP2P":34.79,"TwentyNewsgroupsClustering":49.53}
{"Rank":21,"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,"Average":42.24,"ArxivClusteringP2P":43.87,"ArxivClusteringS2S":34.57,"BiorxivClusteringP2P":36.79,"BiorxivClusteringS2S":30.68,"MedrxivClusteringP2P":34.09,"MedrxivClusteringS2S":31.3,"RedditClustering":53.31,"RedditClusteringP2P":58.96,"StackExchangeClustering":59.92,"StackExchangeClusteringP2P":33.88,"TwentyNewsgroupsClustering":47.29}
{"Rank":22,"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,"Average":41.99,"ArxivClusteringP2P":49.22,"ArxivClusteringS2S":41.71,"BiorxivClusteringP2P":38.39,"BiorxivClusteringS2S":31.31,"MedrxivClusteringP2P":31.47,"MedrxivClusteringS2S":27.87,"RedditClustering":43.67,"RedditClusteringP2P":61.67,"StackExchangeClustering":68.2,"StackExchangeClusteringP2P":36.36,"TwentyNewsgroupsClustering":32.01}
{"Rank":23,"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,"Average":41.94,"ArxivClusteringP2P":46.55,"ArxivClusteringS2S":37.86,"BiorxivClusteringP2P":38.37,"BiorxivClusteringS2S":32.88,"MedrxivClusteringP2P":34.39,"MedrxivClusteringS2S":31.86,"RedditClustering":50.7,"RedditClusteringP2P":54.8,"StackExchangeClustering":53.14,"StackExchangeClusteringP2P":34.26,"TwentyNewsgroupsClustering":46.49}
{"Rank":24,"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,"Average":41.81,"ArxivClusteringP2P":46.07,"ArxivClusteringS2S":37.5,"BiorxivClusteringP2P":36.99,"BiorxivClusteringS2S":33.21,"MedrxivClusteringP2P":34.25,"MedrxivClusteringS2S":32.24,"RedditClustering":51.18,"RedditClusteringP2P":54.8,"StackExchangeClustering":53.05,"StackExchangeClusteringP2P":33.13,"TwentyNewsgroupsClustering":47.47}
{"Rank":25,"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,"Average":41.65,"ArxivClusteringP2P":41.62,"ArxivClusteringS2S":29.44,"BiorxivClusteringP2P":35.99,"BiorxivClusteringS2S":24.02,"MedrxivClusteringP2P":32.4,"MedrxivClusteringS2S":26.33,"RedditClustering":54.53,"RedditClusteringP2P":62.5,"StackExchangeClustering":65.11,"StackExchangeClusteringP2P":36.86,"TwentyNewsgroupsClustering":49.33}
{"Rank":26,"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,"Average":41.6,"ArxivClusteringP2P":37.5,"ArxivClusteringS2S":30.55,"BiorxivClusteringP2P":29.59,"BiorxivClusteringS2S":25.72,"MedrxivClusteringP2P":28.72,"MedrxivClusteringS2S":27.39,"RedditClustering":61.69,"RedditClusteringP2P":61.67,"StackExchangeClustering":69.93,"StackExchangeClusteringP2P":33.21,"TwentyNewsgroupsClustering":51.64}
{"Rank":27,"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,"Average":41.51,"ArxivClusteringP2P":37.9,"ArxivClusteringS2S":30.45,"BiorxivClusteringP2P":30.52,"BiorxivClusteringS2S":26.06,"MedrxivClusteringP2P":28.69,"MedrxivClusteringS2S":26.69,"RedditClustering":61.34,"RedditClusteringP2P":61.11,"StackExchangeClustering":69.95,"StackExchangeClusteringP2P":32.73,"TwentyNewsgroupsClustering":51.15}
{"Rank":28,"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,"Average":41.1,"ArxivClusteringP2P":42.61,"ArxivClusteringS2S":32.32,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":29.08,"MedrxivClusteringP2P":31.19,"MedrxivClusteringS2S":27.27,"RedditClustering":54.89,"RedditClusteringP2P":57.58,"StackExchangeClustering":63.15,"StackExchangeClusteringP2P":32.25,"TwentyNewsgroupsClustering":46.82}
{"Rank":29,"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,"Average":40.83,"ArxivClusteringP2P":47.81,"ArxivClusteringS2S":40.53,"BiorxivClusteringP2P":38.12,"BiorxivClusteringS2S":31.25,"MedrxivClusteringP2P":30.94,"MedrxivClusteringS2S":28.04,"RedditClustering":42.84,"RedditClusteringP2P":60.1,"StackExchangeClustering":65.12,"StackExchangeClusteringP2P":33.61,"TwentyNewsgroupsClustering":30.76}
{"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,"Average":40.63,"ArxivClusteringP2P":47.56,"ArxivClusteringS2S":39.92,"BiorxivClusteringP2P":36.14,"BiorxivClusteringS2S":30.26,"MedrxivClusteringP2P":30.11,"MedrxivClusteringS2S":26.93,"RedditClustering":41.83,"RedditClusteringP2P":62.08,"StackExchangeClustering":67.34,"StackExchangeClusteringP2P":34.5,"TwentyNewsgroupsClustering":30.26}
{"Rank":31,"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,"Average":40.31,"ArxivClusteringP2P":41.8,"ArxivClusteringS2S":32.41,"BiorxivClusteringP2P":34.81,"BiorxivClusteringS2S":28.59,"MedrxivClusteringP2P":32.73,"MedrxivClusteringS2S":29.91,"RedditClustering":50.31,"RedditClusteringP2P":56.57,"StackExchangeClustering":57.99,"StackExchangeClusteringP2P":33.64,"TwentyNewsgroupsClustering":44.61}
{"Rank":32,"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,"Average":40.21,"ArxivClusteringP2P":39.28,"ArxivClusteringS2S":27.26,"BiorxivClusteringP2P":33.99,"BiorxivClusteringS2S":22.92,"MedrxivClusteringP2P":33.2,"MedrxivClusteringS2S":26.13,"RedditClustering":52.93,"RedditClusteringP2P":59.67,"StackExchangeClustering":63.13,"StackExchangeClusteringP2P":35.68,"TwentyNewsgroupsClustering":48.1}
{"Rank":33,"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,"Average":39.62,"ArxivClusteringP2P":43.35,"ArxivClusteringS2S":36.0,"BiorxivClusteringP2P":37.55,"BiorxivClusteringS2S":30.33,"MedrxivClusteringP2P":30.6,"MedrxivClusteringS2S":28.73,"RedditClustering":43.15,"RedditClusteringP2P":61.69,"StackExchangeClustering":55.31,"StackExchangeClusteringP2P":33.51,"TwentyNewsgroupsClustering":35.55}
{"Rank":34,"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,"Average":38.63,"ArxivClusteringP2P":35.49,"ArxivClusteringS2S":27.18,"BiorxivClusteringP2P":27.66,"BiorxivClusteringS2S":23.25,"MedrxivClusteringP2P":27.57,"MedrxivClusteringS2S":25.13,"RedditClustering":56.13,"RedditClusteringP2P":58.53,"StackExchangeClustering":64.21,"StackExchangeClusteringP2P":33.01,"TwentyNewsgroupsClustering":46.72}
{"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,"Average":38.5,"ArxivClusteringP2P":37.78,"ArxivClusteringS2S":31.68,"BiorxivClusteringP2P":33.02,"BiorxivClusteringS2S":29.45,"MedrxivClusteringP2P":31.93,"MedrxivClusteringS2S":31.53,"RedditClustering":45.65,"RedditClusteringP2P":52.05,"StackExchangeClustering":52.99,"StackExchangeClusteringP2P":33.06,"TwentyNewsgroupsClustering":44.36}
{"Rank":36,"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,"Average":37.64,"ArxivClusteringP2P":36.94,"ArxivClusteringS2S":29.03,"BiorxivClusteringP2P":32.35,"BiorxivClusteringS2S":28.16,"MedrxivClusteringP2P":30.23,"MedrxivClusteringS2S":27.01,"RedditClustering":48.04,"RedditClusteringP2P":53.53,"StackExchangeClustering":59.54,"StackExchangeClusteringP2P":30.48,"TwentyNewsgroupsClustering":38.68}
{"Rank":37,"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)":"","Average":37.52,"ArxivClusteringP2P":41.49,"ArxivClusteringS2S":28.47,"BiorxivClusteringP2P":36.86,"BiorxivClusteringS2S":27.55,"MedrxivClusteringP2P":31.09,"MedrxivClusteringS2S":26.5,"RedditClustering":42.47,"RedditClusteringP2P":58.1,"StackExchangeClustering":53.52,"StackExchangeClusteringP2P":30.43,"TwentyNewsgroupsClustering":36.26}
{"Rank":38,"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,"Average":37.45,"ArxivClusteringP2P":42.92,"ArxivClusteringS2S":35.2,"BiorxivClusteringP2P":35.02,"BiorxivClusteringS2S":27.21,"MedrxivClusteringP2P":30.15,"MedrxivClusteringS2S":26.96,"RedditClustering":38.67,"RedditClusteringP2P":53.42,"StackExchangeClustering":59.35,"StackExchangeClusteringP2P":31.47,"TwentyNewsgroupsClustering":31.54}
{"Rank":39,"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,"Average":37.14,"ArxivClusteringP2P":38.33,"ArxivClusteringS2S":31.55,"BiorxivClusteringP2P":33.49,"BiorxivClusteringS2S":29.44,"MedrxivClusteringP2P":31.52,"MedrxivClusteringS2S":30.87,"RedditClustering":42.02,"RedditClusteringP2P":50.73,"StackExchangeClustering":49.6,"StackExchangeClusteringP2P":31.69,"TwentyNewsgroupsClustering":39.28}
{"Rank":40,"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,"Average":34.06,"ArxivClusteringP2P":44.75,"ArxivClusteringS2S":35.27,"BiorxivClusteringP2P":39.52,"BiorxivClusteringS2S":34.53,"MedrxivClusteringP2P":35.04,"MedrxivClusteringS2S":31.66,"RedditClustering":24.13,"RedditClusteringP2P":35.06,"StackExchangeClustering":39.01,"StackExchangeClusteringP2P":31.46,"TwentyNewsgroupsClustering":24.22}
{"Rank":41,"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,"Average":33.43,"ArxivClusteringP2P":35.18,"ArxivClusteringS2S":27.54,"BiorxivClusteringP2P":30.15,"BiorxivClusteringS2S":24.67,"MedrxivClusteringP2P":26.25,"MedrxivClusteringS2S":24.12,"RedditClustering":40.23,"RedditClusteringP2P":47.74,"StackExchangeClustering":47.55,"StackExchangeClusteringP2P":29.45,"TwentyNewsgroupsClustering":34.86}
{"Rank":42,"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,"Average":32.28,"ArxivClusteringP2P":35.27,"ArxivClusteringS2S":23.18,"BiorxivClusteringP2P":31.13,"BiorxivClusteringS2S":26.78,"MedrxivClusteringP2P":24.65,"MedrxivClusteringS2S":24.21,"RedditClustering":38.74,"RedditClusteringP2P":51.92,"StackExchangeClustering":42.7,"StackExchangeClusteringP2P":28.7,"TwentyNewsgroupsClustering":27.82}
{"Rank":43,"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,"Average":30.12,"ArxivClusteringP2P":35.19,"ArxivClusteringS2S":27.51,"BiorxivClusteringP2P":30.12,"BiorxivClusteringS2S":24.77,"MedrxivClusteringP2P":26.09,"MedrxivClusteringS2S":23.6,"RedditClustering":27.24,"RedditClusteringP2P":43.32,"StackExchangeClustering":43.58,"StackExchangeClusteringP2P":26.55,"TwentyNewsgroupsClustering":23.35}
{"Rank":44,"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,"Average":29.55,"ArxivClusteringP2P":32.13,"ArxivClusteringS2S":22.05,"BiorxivClusteringP2P":29.84,"BiorxivClusteringS2S":20.57,"MedrxivClusteringP2P":30.13,"MedrxivClusteringS2S":24.82,"RedditClustering":28.79,"RedditClusteringP2P":49.14,"StackExchangeClustering":35.43,"StackExchangeClusteringP2P":28.83,"TwentyNewsgroupsClustering":23.28}
{"Rank":45,"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,"Average":29.04,"ArxivClusteringP2P":32.61,"ArxivClusteringS2S":24.68,"BiorxivClusteringP2P":24.9,"BiorxivClusteringS2S":19.55,"MedrxivClusteringP2P":23.6,"MedrxivClusteringS2S":21.97,"RedditClustering":32.18,"RedditClusteringP2P":45.14,"StackExchangeClustering":43.07,"StackExchangeClusteringP2P":28.5,"TwentyNewsgroupsClustering":23.21}
{"Rank":46,"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,"Average":27.73,"ArxivClusteringP2P":32.56,"ArxivClusteringS2S":23.14,"BiorxivClusteringP2P":29.27,"BiorxivClusteringS2S":19.18,"MedrxivClusteringP2P":26.12,"MedrxivClusteringS2S":20.38,"RedditClustering":28.46,"RedditClusteringP2P":35.82,"StackExchangeClustering":35.8,"StackExchangeClusteringP2P":28.51,"TwentyNewsgroupsClustering":25.83}
{"Rank":47,"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,"Average":26.57,"ArxivClusteringP2P":34.73,"ArxivClusteringS2S":26.01,"BiorxivClusteringP2P":29.76,"BiorxivClusteringS2S":20.71,"MedrxivClusteringP2P":26.65,"MedrxivClusteringS2S":21.5,"RedditClustering":28.84,"RedditClusteringP2P":7.37,"StackExchangeClustering":39.04,"StackExchangeClusteringP2P":30.23,"TwentyNewsgroupsClustering":27.42}
{"Rank":48,"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,"Average":23.75,"ArxivClusteringP2P":24.83,"ArxivClusteringS2S":16.68,"BiorxivClusteringP2P":20.0,"BiorxivClusteringS2S":12.67,"MedrxivClusteringP2P":20.79,"MedrxivClusteringS2S":18.18,"RedditClustering":26.28,"RedditClusteringP2P":40.48,"StackExchangeClustering":33.51,"StackExchangeClusteringP2P":27.98,"TwentyNewsgroupsClustering":19.9}
{"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,"Average":15.28,"ArxivClusteringP2P":17.77,"ArxivClusteringS2S":12.39,"BiorxivClusteringP2P":12.4,"BiorxivClusteringS2S":8.83,"MedrxivClusteringP2P":17.91,"MedrxivClusteringS2S":16.63,"RedditClustering":9.96,"RedditClusteringP2P":26.42,"StackExchangeClustering":15.79,"StackExchangeClusteringP2P":18.63,"TwentyNewsgroupsClustering":11.38}
{"Rank":57,"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,"Average":"","ArxivClusteringP2P":"","ArxivClusteringS2S":"","BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":36.62,"MedrxivClusteringP2P":33.21,"MedrxivClusteringS2S":31.68,"RedditClustering":56.61,"RedditClusteringP2P":62.66,"StackExchangeClustering":66.11,"StackExchangeClusteringP2P":35.24,"TwentyNewsgroupsClustering":50.75}
{"Rank":84,"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,"Average":"","ArxivClusteringP2P":"","ArxivClusteringS2S":"","BiorxivClusteringP2P":37.12,"BiorxivClusteringS2S":33.41,"MedrxivClusteringP2P":31.82,"MedrxivClusteringS2S":29.68,"RedditClustering":56.54,"RedditClusteringP2P":63.23,"StackExchangeClustering":64.6,"StackExchangeClusteringP2P":33.02,"TwentyNewsgroupsClustering":49.86}
{"Rank":85,"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,"Average":"","ArxivClusteringP2P":"","ArxivClusteringS2S":"","BiorxivClusteringP2P":36.72,"BiorxivClusteringS2S":35.47,"MedrxivClusteringP2P":31.45,"MedrxivClusteringS2S":29.91,"RedditClustering":55.5,"RedditClusteringP2P":63.71,"StackExchangeClustering":65.23,"StackExchangeClusteringP2P":33.62,"TwentyNewsgroupsClustering":48.73}
{"Rank":87,"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,"Average":"","ArxivClusteringP2P":"","ArxivClusteringS2S":"","BiorxivClusteringP2P":36.1,"BiorxivClusteringS2S":31.51,"MedrxivClusteringP2P":31.31,"MedrxivClusteringS2S":28.32,"RedditClustering":43.27,"RedditClusteringP2P":57.22,"StackExchangeClustering":59.6,"StackExchangeClusteringP2P":30.82,"TwentyNewsgroupsClustering":37.65}
{"Rank":88,"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,"Average":"","ArxivClusteringP2P":"","ArxivClusteringS2S":"","BiorxivClusteringP2P":35.5,"BiorxivClusteringS2S":33.3,"MedrxivClusteringP2P":31.7,"MedrxivClusteringS2S":29.76,"RedditClustering":46.91,"RedditClusteringP2P":63.0,"StackExchangeClustering":58.37,"StackExchangeClusteringP2P":32.9,"TwentyNewsgroupsClustering":39.4}
{"Rank":89,"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,"Average":"","ArxivClusteringP2P":"","ArxivClusteringS2S":"","BiorxivClusteringP2P":35.84,"BiorxivClusteringS2S":27.35,"MedrxivClusteringP2P":30.72,"MedrxivClusteringS2S":27.0,"RedditClustering":40.12,"RedditClusteringP2P":59.49,"StackExchangeClustering":53.32,"StackExchangeClusteringP2P":31.87,"TwentyNewsgroupsClustering":33.67}
{"Rank":96,"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,"Average":"","ArxivClusteringP2P":33.59,"ArxivClusteringS2S":"","BiorxivClusteringP2P":"","BiorxivClusteringS2S":"","MedrxivClusteringP2P":"","MedrxivClusteringS2S":"","RedditClustering":"","RedditClusteringP2P":"","StackExchangeClustering":"","StackExchangeClusteringP2P":"","TwentyNewsgroupsClustering":""}
{"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)":"","Average":"","ArxivClusteringP2P":"","ArxivClusteringS2S":"","BiorxivClusteringP2P":"","BiorxivClusteringS2S":26.05,"MedrxivClusteringP2P":"","MedrxivClusteringS2S":25.67,"RedditClustering":"","RedditClusteringP2P":"","StackExchangeClustering":"","StackExchangeClusteringP2P":"","TwentyNewsgroupsClustering":44.92}
{"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)":"","Average":"","ArxivClusteringP2P":"","ArxivClusteringS2S":"","BiorxivClusteringP2P":"","BiorxivClusteringS2S":"","MedrxivClusteringP2P":"","MedrxivClusteringS2S":"","RedditClustering":"","RedditClusteringP2P":"","StackExchangeClustering":"","StackExchangeClusteringP2P":"","TwentyNewsgroupsClustering":32.92}
{"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)":"","Average":"","ArxivClusteringP2P":"","ArxivClusteringS2S":"","BiorxivClusteringP2P":"","BiorxivClusteringS2S":"","MedrxivClusteringP2P":"","MedrxivClusteringS2S":"","RedditClustering":45.64,"RedditClusteringP2P":"","StackExchangeClustering":53.01,"StackExchangeClusteringP2P":"","TwentyNewsgroupsClustering":42.01}
{"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)":"","Average":"","ArxivClusteringP2P":"","ArxivClusteringS2S":"","BiorxivClusteringP2P":"","BiorxivClusteringS2S":"","MedrxivClusteringP2P":"","MedrxivClusteringS2S":"","RedditClustering":40.79,"RedditClusteringP2P":"","StackExchangeClustering":55.14,"StackExchangeClusteringP2P":"","TwentyNewsgroupsClustering":37.64}
{"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)":"","Average":"","ArxivClusteringP2P":"","ArxivClusteringS2S":"","BiorxivClusteringP2P":"","BiorxivClusteringS2S":"","MedrxivClusteringP2P":"","MedrxivClusteringS2S":"","RedditClustering":31.78,"RedditClusteringP2P":"","StackExchangeClustering":36.86,"StackExchangeClusteringP2P":"","TwentyNewsgroupsClustering":29.33}