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{"index":5,"Rank":19,"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":55.01,"RuSTSBenchmarkSTS":61.72,"STS22 (ru)":51.87}
{"index":26,"Rank":20,"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":54.03,"RuSTSBenchmarkSTS":58.47,"STS22 (ru)":47.67}
{"index":22,"Rank":21,"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":53.41,"RuSTSBenchmarkSTS":58.16,"STS22 (ru)":47.88}
{"index":6,"Rank":22,"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":49.72,"RuSTSBenchmarkSTS":53.95,"STS22 (ru)":34.98}
{"index":38,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":38.07,"RUParaPhraserSTS":43.93,"RuSTSBenchmarkSTS":55.56,"STS22 (ru)":14.72}
{"index":39,"Rank":24,"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":42.15,"RuSTSBenchmarkSTS":55.68,"STS22 (ru)":15.83}
{"index":37,"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":37.66,"RUParaPhraserSTS":45.47,"RuSTSBenchmarkSTS":56.33,"STS22 (ru)":11.19}
{"index":0,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":66.49}
{"index":8,"Rank":30,"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":74.37,"RuSTSBenchmarkSTS":81.07,"STS22 (ru)":""}
{"index":9,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/multilingual-e5-large-GGUF\">multilingual-e5-large-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":59.9}
{"index":10,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":30.62}
{"index":11,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ManiShankar-AlpesAi\/paraphrase-multilingual-mpnet-base-v2-KE_Sieve\">paraphrase-multilingual-mpnet-base-v2-KE_Sieve<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":53.35}
{"index":13,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-msmarco-specb-bitfit\">SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":9.07}
{"index":14,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-nli-bitfit\">SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":3.36}
{"index":17,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/amazon\/Titan-text-embeddings-v2\">Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":61.71}
{"index":18,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/bigscience\/sgpt-bloom-7b1-msmarco\">sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":43.36}
{"index":19,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/brahmairesearch\/slx-v0.1\">slx-v0.1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":""}
{"index":20,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/multilingual-e5-large-Q8_0-GGUF\">multilingual-e5-large-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":59.9}
{"index":27,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":43.57}
{"index":31,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":""}
{"index":33,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":1065,"Memory Usage (GB, fp32)":3.97,"Embedding Dimensions":1536,"Max Tokens":2048,"Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":43.14}
{"index":34,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":559,"Memory Usage (GB, fp32)":2.08,"Embedding Dimensions":1024,"Max Tokens":2048,"Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":28.77}
{"index":35,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/pruizpar\/multilingual-e5-large-Q4_K_M-GGUF\">multilingual-e5-large-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":59.9}
{"index":44,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-multilingual\">text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":54.51}
{"index":45,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/soichisumi\/multilingual-e5-large-Q8_0-GGUF\">multilingual-e5-large-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":59.9}
{"index":46,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/twadada\/lma\">lma<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":11.44}
{"index":47,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/twadada\/lma2\">lma2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":11.44}
{"index":48,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/twadada\/lma3\">lma3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","RUParaPhraserSTS":"","RuSTSBenchmarkSTS":"","STS22 (ru)":11.44}
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