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{"index":10,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":85.22,"AlloprofReranking":78.62,"SyntecReranking":91.83} | |
{"index":8,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Average":83.76,"AlloprofReranking":73.49,"SyntecReranking":94.03} | |
{"index":55,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/niancheng\/gte-Qwen2-1.5B-instruct-Q4_K_M-GGUF\">gte-Qwen2-1.5B-instruct-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":83.76,"AlloprofReranking":73.49,"SyntecReranking":94.03} | |
{"index":4,"Rank":4,"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)":"","Average":82.59,"AlloprofReranking":74.78,"SyntecReranking":90.4} | |
{"index":3,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.06,"AlloprofReranking":72.92,"SyntecReranking":91.2} | |
{"index":0,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":80.46,"AlloprofReranking":72.36,"SyntecReranking":88.57} | |
{"index":23,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large-8k\">bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Average":80.35,"AlloprofReranking":73.1,"SyntecReranking":87.6} | |
{"index":22,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-large\">bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":79.79,"AlloprofReranking":73.63,"SyntecReranking":85.95} | |
{"index":2,"Rank":9,"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)":"","Average":78.78,"AlloprofReranking":70.79,"SyntecReranking":86.77} | |
{"index":9,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Average":78.7,"AlloprofReranking":73.08,"SyntecReranking":84.32} | |
{"index":34,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/brtaydin\/gte-Qwen2-7B-instruct-Q5_K_M-GGUF\">gte-Qwen2-7B-instruct-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":78.7,"AlloprofReranking":73.08,"SyntecReranking":84.32} | |
{"index":21,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":77.14,"AlloprofReranking":70.46,"SyntecReranking":83.83} | |
{"index":71,"Rank":13,"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":76.76,"AlloprofReranking":68.36,"SyntecReranking":85.15} | |
{"index":29,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/OrdalieTech\/Solon-embeddings-large-0.1\">Solon-embeddings-large-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":76.58,"AlloprofReranking":64.88,"SyntecReranking":88.28} | |
{"index":54,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.4\">sentence_croissant_alpha_v0.4<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Average":76.43,"AlloprofReranking":68.79,"SyntecReranking":84.07} | |
{"index":24,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":76.0,"AlloprofReranking":69.5,"SyntecReranking":82.5} | |
{"index":79,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":75.75,"AlloprofReranking":68.73,"SyntecReranking":82.77} | |
{"index":53,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.3\">sentence_croissant_alpha_v0.3<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Average":75.48,"AlloprofReranking":68.31,"SyntecReranking":82.65} | |
{"index":50,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/bge-m3-custom-fr\">bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Average":75.3,"AlloprofReranking":65.17,"SyntecReranking":85.43} | |
{"index":52,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.2\">sentence_croissant_alpha_v0.2<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Average":75.2,"AlloprofReranking":67.24,"SyntecReranking":83.17} | |
{"index":70,"Rank":21,"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":73.18,"AlloprofReranking":63.3,"SyntecReranking":83.07} | |
{"index":1,"Rank":22,"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)":"","Average":73.1,"AlloprofReranking":63.54,"SyntecReranking":82.65} | |
{"index":36,"Rank":23,"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,"Average":72.89,"AlloprofReranking":57.62,"SyntecReranking":88.15} | |
{"index":45,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":72.14,"AlloprofReranking":57.37,"SyntecReranking":86.9} | |
{"index":44,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":71.76,"AlloprofReranking":58.1,"SyntecReranking":85.43} | |
{"index":47,"Rank":26,"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":71.44,"AlloprofReranking":56.17,"SyntecReranking":86.7} | |
{"index":14,"Rank":27,"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)":"","Average":69.82,"AlloprofReranking":51.6,"SyntecReranking":88.03} | |
{"index":69,"Rank":28,"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":68.88,"AlloprofReranking":57.99,"SyntecReranking":79.77} | |
{"index":67,"Rank":29,"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":68.78,"AlloprofReranking":54.34,"SyntecReranking":83.23} | |
{"index":15,"Rank":30,"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)":"","Average":68.36,"AlloprofReranking":51.01,"SyntecReranking":85.72} | |
{"index":30,"Rank":31,"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,"Average":67.95,"AlloprofReranking":53.0,"SyntecReranking":82.9} | |
{"index":76,"Rank":32,"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)":"","Average":66.26,"AlloprofReranking":55.39,"SyntecReranking":77.13} | |
{"index":75,"Rank":33,"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)":"","Average":65.04,"AlloprofReranking":56.23,"SyntecReranking":73.85} | |
{"index":35,"Rank":34,"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,"Average":64.22,"AlloprofReranking":48.68,"SyntecReranking":79.75} | |
{"index":68,"Rank":35,"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":64.08,"AlloprofReranking":50.12,"SyntecReranking":78.05} | |
{"index":62,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Average":63.28,"AlloprofReranking":51.77,"SyntecReranking":74.78} | |
{"index":43,"Rank":37,"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,"Average":62.2,"AlloprofReranking":47.36,"SyntecReranking":77.05} | |
{"index":66,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":62.02,"AlloprofReranking":49.01,"SyntecReranking":75.03} | |
{"index":56,"Rank":39,"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":61.4,"AlloprofReranking":49.51,"SyntecReranking":73.28} | |
{"index":74,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/spaces\/mteb\/leaderboard\">text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":60.88,"AlloprofReranking":51.48,"SyntecReranking":70.28} | |
{"index":65,"Rank":41,"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,"Average":52.68,"AlloprofReranking":40.28,"SyntecReranking":65.08} | |
{"index":42,"Rank":42,"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,"Average":52.62,"AlloprofReranking":38.85,"SyntecReranking":66.4} | |
{"index":48,"Rank":43,"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)":"","Average":50.86,"AlloprofReranking":39.13,"SyntecReranking":62.58} | |
{"index":7,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AdrienB134\/llm2vec-occiglot-mntp\">llm2vec-occiglot-mntp<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":49.98,"AlloprofReranking":37.09,"SyntecReranking":62.87} | |
{"index":39,"Rank":45,"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,"Average":45.86,"AlloprofReranking":34.55,"SyntecReranking":57.18} | |
{"index":58,"Rank":46,"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":45.63,"AlloprofReranking":31.69,"SyntecReranking":59.57} | |
{"index":5,"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,"Average":45.61,"AlloprofReranking":35.29,"SyntecReranking":55.93} | |
{"index":38,"Rank":48,"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,"Average":45.34,"AlloprofReranking":34.81,"SyntecReranking":55.88} | |
{"index":18,"Rank":49,"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,"Average":44.75,"AlloprofReranking":36.25,"SyntecReranking":53.25} | |
{"index":41,"Rank":50,"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,"Average":44.74,"AlloprofReranking":36.23,"SyntecReranking":53.25} | |
{"index":17,"Rank":51,"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,"Average":44.73,"AlloprofReranking":36.21,"SyntecReranking":53.25} | |
{"index":16,"Rank":52,"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,"Average":44.73,"AlloprofReranking":36.21,"SyntecReranking":53.25} | |
{"index":49,"Rank":53,"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)":"","Average":39.82,"AlloprofReranking":28.75,"SyntecReranking":50.88} | |
{"index":78,"Rank":54,"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,"Average":39.01,"AlloprofReranking":28.62,"SyntecReranking":49.4} | |
{"index":77,"Rank":55,"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,"Average":34.66,"AlloprofReranking":25.58,"SyntecReranking":43.75} | |
{"index":40,"Rank":56,"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,"Average":34.54,"AlloprofReranking":26.29,"SyntecReranking":42.8} | |
{"index":80,"Rank":81,"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":"","AlloprofReranking":"","SyntecReranking":89.87} | |