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{"index":13,"Rank":2,"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":73.71,"RUParaPhraserSTS (rus-Cyrl)":76.17,"RuSTSBenchmarkSTS (rus-Cyrl)":84.13,"STS22 (rus-Cyrl)":60.83} | |
{"index":0,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":73.68,"RUParaPhraserSTS (rus-Cyrl)":74.9,"RuSTSBenchmarkSTS (rus-Cyrl)":79.87,"STS22 (rus-Cyrl)":66.26} | |
{"index":10,"Rank":4,"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":73.07,"RUParaPhraserSTS (rus-Cyrl)":73.56,"RuSTSBenchmarkSTS (rus-Cyrl)":82.26,"STS22 (rus-Cyrl)":63.39} | |
{"index":23,"Rank":5,"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":72.54,"RUParaPhraserSTS (rus-Cyrl)":72.97,"RuSTSBenchmarkSTS (rus-Cyrl)":81.77,"STS22 (rus-Cyrl)":62.89} | |
{"index":15,"Rank":6,"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":71.62,"RUParaPhraserSTS (rus-Cyrl)":71.82,"RuSTSBenchmarkSTS (rus-Cyrl)":83.15,"STS22 (rus-Cyrl)":59.89} | |
{"index":24,"Rank":7,"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":70.23,"RUParaPhraserSTS (rus-Cyrl)":72.15,"RuSTSBenchmarkSTS (rus-Cyrl)":78.48,"STS22 (rus-Cyrl)":60.06} | |
{"index":14,"Rank":8,"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":70.16,"RUParaPhraserSTS (rus-Cyrl)":70.17,"RuSTSBenchmarkSTS (rus-Cyrl)":79.64,"STS22 (rus-Cyrl)":60.67} | |
{"index":16,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":69.48,"RUParaPhraserSTS (rus-Cyrl)":70.46,"RuSTSBenchmarkSTS (rus-Cyrl)":78.08,"STS22 (rus-Cyrl)":59.9} | |
{"index":22,"Rank":10,"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":68.98,"RUParaPhraserSTS (rus-Cyrl)":65.74,"RuSTSBenchmarkSTS (rus-Cyrl)":82.46,"STS22 (rus-Cyrl)":58.74} | |
{"index":21,"Rank":11,"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":66.17,"RUParaPhraserSTS (rus-Cyrl)":61.87,"RuSTSBenchmarkSTS (rus-Cyrl)":79.55,"STS22 (rus-Cyrl)":57.08} | |
{"index":7,"Rank":12,"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":65.91,"RUParaPhraserSTS (rus-Cyrl)":65.87,"RuSTSBenchmarkSTS (rus-Cyrl)":73.32,"STS22 (rus-Cyrl)":58.53} | |
{"index":17,"Rank":13,"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":65.52,"RUParaPhraserSTS (rus-Cyrl)":65.74,"RuSTSBenchmarkSTS (rus-Cyrl)":73.34,"STS22 (rus-Cyrl)":57.49} | |
{"index":5,"Rank":14,"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":64.4,"RUParaPhraserSTS (rus-Cyrl)":65.17,"RuSTSBenchmarkSTS (rus-Cyrl)":71.22,"STS22 (rus-Cyrl)":56.82} | |
{"index":9,"Rank":15,"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":61.6,"RUParaPhraserSTS (rus-Cyrl)":65.14,"RuSTSBenchmarkSTS (rus-Cyrl)":69.43,"STS22 (rus-Cyrl)":50.23} | |
{"index":3,"Rank":16,"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":61.18,"RUParaPhraserSTS (rus-Cyrl)":66.24,"RuSTSBenchmarkSTS (rus-Cyrl)":66.03,"STS22 (rus-Cyrl)":51.27} | |
{"index":6,"Rank":17,"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":57.21,"RUParaPhraserSTS (rus-Cyrl)":62.06,"RuSTSBenchmarkSTS (rus-Cyrl)":58.82,"STS22 (rus-Cyrl)":50.75} | |
{"index":1,"Rank":18,"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":56.2,"RUParaPhraserSTS (rus-Cyrl)":55.01,"RuSTSBenchmarkSTS (rus-Cyrl)":61.72,"STS22 (rus-Cyrl)":51.87} | |
{"index":12,"Rank":19,"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":53.39,"RUParaPhraserSTS (rus-Cyrl)":54.03,"RuSTSBenchmarkSTS (rus-Cyrl)":58.47,"STS22 (rus-Cyrl)":47.67} | |
{"index":8,"Rank":20,"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":53.15,"RUParaPhraserSTS (rus-Cyrl)":53.41,"RuSTSBenchmarkSTS (rus-Cyrl)":58.16,"STS22 (rus-Cyrl)":47.88} | |
{"index":2,"Rank":21,"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":46.22,"RUParaPhraserSTS (rus-Cyrl)":49.72,"RuSTSBenchmarkSTS (rus-Cyrl)":53.95,"STS22 (rus-Cyrl)":34.98} | |
{"index":19,"Rank":22,"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":38.07,"RUParaPhraserSTS (rus-Cyrl)":43.93,"RuSTSBenchmarkSTS (rus-Cyrl)":55.56,"STS22 (rus-Cyrl)":14.72} | |
{"index":20,"Rank":23,"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":37.89,"RUParaPhraserSTS (rus-Cyrl)":42.15,"RuSTSBenchmarkSTS (rus-Cyrl)":55.68,"STS22 (rus-Cyrl)":15.83} | |
{"index":18,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.66,"RUParaPhraserSTS (rus-Cyrl)":45.47,"RuSTSBenchmarkSTS (rus-Cyrl)":56.33,"STS22 (rus-Cyrl)":11.19} | |
{"index":4,"Rank":25,"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":"","RUParaPhraserSTS (rus-Cyrl)":74.37,"RuSTSBenchmarkSTS (rus-Cyrl)":81.07,"STS22 (rus-Cyrl)":""} | |