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Automated Leaderboard Update

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all_data_tasks/0/default.jsonl +0 -0
all_data_tasks/1/default.jsonl +0 -0
all_data_tasks/10/default.jsonl +0 -0
all_data_tasks/11/default.jsonl +0 -0
all_data_tasks/12/default.jsonl +0 -0
all_data_tasks/13/default.jsonl +0 -0
all_data_tasks/16/default.jsonl +12 -12
all_data_tasks/17/default.jsonl +31 -31
all_data_tasks/18/default.jsonl +3 -3
all_data_tasks/19/default.jsonl +5 -5
all_data_tasks/2/default.jsonl +0 -0
all_data_tasks/20/default.jsonl +8 -8
all_data_tasks/21/default.jsonl +3 -3
all_data_tasks/22/default.jsonl +29 -29
all_data_tasks/3/default.jsonl +0 -0
all_data_tasks/31/default.jsonl +60 -62
all_data_tasks/32/default.jsonl +53 -55
all_data_tasks/33/default.jsonl +55 -57
all_data_tasks/34/default.jsonl +53 -55
all_data_tasks/35/default.jsonl +53 -55
all_data_tasks/36/default.jsonl +59 -61
all_data_tasks/37/default.jsonl +54 -56
all_data_tasks/39/default.jsonl +0 -0
all_data_tasks/4/default.jsonl +0 -0
all_data_tasks/40/default.jsonl +0 -0
all_data_tasks/5/default.jsonl +0 -0
all_data_tasks/6/default.jsonl +0 -0
all_data_tasks/8/default.jsonl +0 -0
all_data_tasks/9/default.jsonl +0 -0
boards_data/en/data_overall/default.jsonl +0 -0
boards_data/en/data_tasks/Classification/default.jsonl +0 -0
boards_data/en/data_tasks/Clustering/default.jsonl +0 -0
boards_data/en/data_tasks/PairClassification/default.jsonl +0 -0
boards_data/en/data_tasks/Reranking/default.jsonl +0 -0
boards_data/en/data_tasks/Retrieval/default.jsonl +0 -0
boards_data/en/data_tasks/STS/default.jsonl +0 -0
boards_data/en/data_tasks/Summarization/default.jsonl +0 -0
boards_data/fr/data_overall/default.jsonl +8 -8
boards_data/fr/data_tasks/Classification/default.jsonl +12 -12
boards_data/fr/data_tasks/Clustering/default.jsonl +31 -31
boards_data/fr/data_tasks/PairClassification/default.jsonl +3 -3
boards_data/fr/data_tasks/Reranking/default.jsonl +5 -5
boards_data/fr/data_tasks/Retrieval/default.jsonl +8 -8
boards_data/fr/data_tasks/STS/default.jsonl +3 -3
boards_data/fr/data_tasks/Summarization/default.jsonl +29 -29
boards_data/other-cls/data_tasks/Classification/default.jsonl +0 -0
boards_data/other-sts/data_tasks/STS/default.jsonl +0 -0
boards_data/ru/data_overall/default.jsonl +55 -57
boards_data/ru/data_tasks/Classification/default.jsonl +60 -62
boards_data/ru/data_tasks/Clustering/default.jsonl +53 -55

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@@ -14,18 +14,18 @@
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 {"index":50,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/french-document-embedding\">french-document-embedding<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":66.3,"AmazonReviewsClassification (fr)":39.89,"MasakhaNEWSClassification (fra)":76.87,"MassiveIntentClassification (fr)":64.14,"MassiveScenarioClassification (fr)":70.69,"MTOPDomainClassification (fr)":88.33,"MTOPIntentClassification (fr)":57.85}

 {"index":35,"Rank":14,"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,"Embedding Dimensions":1024,"Max Tokens":514,"Average":69.16,"AmazonReviewsClassification (fr)":43.42,"MasakhaNEWSClassification (fra)":80.57,"MassiveIntentClassification (fr)":66.81,"MassiveScenarioClassification (fr)":72.99,"MTOPDomainClassification (fr)":88.33,"MTOPIntentClassification (fr)":62.85}
 {"index":13,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BookingCare\/gte-multilingual-base-onnx-quantized\">gte-multilingual-base-onnx-quantized<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":68.72,"AmazonReviewsClassification (fr)":39.57,"MasakhaNEWSClassification (fra)":80.66,"MassiveIntentClassification (fr)":67.92,"MassiveScenarioClassification (fr)":72.65,"MTOPDomainClassification (fr)":87.49,"MTOPIntentClassification (fr)":64.06}
 {"index":11,"Rank":16,"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":68.72,"AmazonReviewsClassification (fr)":39.57,"MasakhaNEWSClassification (fra)":80.66,"MassiveIntentClassification (fr)":67.92,"MassiveScenarioClassification (fr)":72.65,"MTOPDomainClassification (fr)":87.49,"MTOPIntentClassification (fr)":64.06}
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+{"index":19,"Rank":27,"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":67.08,"AmazonReviewsClassification (fr)":41.89,"MasakhaNEWSClassification (fra)":83.06,"MassiveIntentClassification (fr)":62.94,"MassiveScenarioClassification (fr)":67.29,"MTOPDomainClassification (fr)":86.23,"MTOPIntentClassification (fr)":61.07}
+{"index":34,"Rank":28,"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,"Embedding Dimensions":768,"Max Tokens":514,"Average":66.74,"AmazonReviewsClassification (fr)":40.35,"MasakhaNEWSClassification (fra)":77.44,"MassiveIntentClassification (fr)":64.99,"MassiveScenarioClassification (fr)":71.72,"MTOPDomainClassification (fr)":86.83,"MTOPIntentClassification (fr)":59.13}
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all_data_tasks/17/default.jsonl CHANGED Viewed

@@ -9,38 +9,38 @@
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 {"index":90,"Rank":44,"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":38.35,"AlloProfClusteringP2P":56.06,"AlloProfClusteringS2S":42.16,"HALClusteringS2S":23.21,"MLSUMClusteringP2P (fr)":39.97,"MLSUMClusteringS2S (fr)":36.55,"MasakhaNEWSClusteringP2P (fra)":36.58,"MasakhaNEWSClusteringS2S (fra)":33.9}
 {"index":80,"Rank":45,"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":38.32,"AlloProfClusteringP2P":54.78,"AlloProfClusteringS2S":31.6,"HALClusteringS2S":20.62,"MLSUMClusteringP2P (fr)":42.09,"MLSUMClusteringS2S (fr)":34.84,"MasakhaNEWSClusteringP2P (fra)":46.16,"MasakhaNEWSClusteringS2S (fra)":38.13}
 {"index":71,"Rank":46,"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,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":37.9,"AlloProfClusteringP2P":56.73,"AlloProfClusteringS2S":38.2,"HALClusteringS2S":24.13,"MLSUMClusteringP2P (fr)":42.12,"MLSUMClusteringS2S (fr)":36.69,"MasakhaNEWSClusteringP2P (fra)":34.61,"MasakhaNEWSClusteringS2S (fra)":32.81}

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 {"index":36,"Rank":10,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":46.88,"AlloProfClusteringP2P":63.19,"AlloProfClusteringS2S":41.33,"HALClusteringS2S":23.77,"MLSUMClusteringP2P (fr)":44.11,"MLSUMClusteringS2S (fr)":43.66,"MasakhaNEWSClusteringP2P (fra)":58.63,"MasakhaNEWSClusteringS2S (fra)":53.47}
 {"index":5,"Rank":11,"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":46.57,"AlloProfClusteringP2P":65.37,"AlloProfClusteringS2S":47.03,"HALClusteringS2S":27.67,"MLSUMClusteringP2P (fr)":45.99,"MLSUMClusteringS2S (fr)":45.57,"MasakhaNEWSClusteringP2P (fra)":44.53,"MasakhaNEWSClusteringS2S (fra)":49.8}
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all_data_tasks/18/default.jsonl CHANGED Viewed

@@ -10,13 +10,13 @@
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all_data_tasks/19/default.jsonl CHANGED Viewed

@@ -4,11 +4,11 @@
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all_data_tasks/2/default.jsonl CHANGED Viewed

The diff for this file is too large to render. See raw diff

all_data_tasks/20/default.jsonl CHANGED Viewed

@@ -7,17 +7,17 @@
 {"index":61,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ilhamdprastyo\/jina-embeddings-v3-tei\">jina-embeddings-v3-tei<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":53.48,"AlloprofRetrieval":54.28,"BSARDRetrieval":24.76,"MintakaRetrieval (fr)":26.91,"SyntecRetrieval":83.85,"XPQARetrieval (fr)":77.58}
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all_data_tasks/21/default.jsonl CHANGED Viewed

@@ -1,7 +1,7 @@
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@@ -10,8 +10,8 @@
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all_data_tasks/22/default.jsonl CHANGED Viewed

@@ -3,39 +3,39 @@
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all_data_tasks/3/default.jsonl CHANGED Viewed

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all_data_tasks/31/default.jsonl CHANGED Viewed

@@ -1,65 +1,63 @@
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 {"index":12,"Rank":3,"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":67.48,"GeoreviewClassification":53.47,"HeadlineClassification":85.66,"InappropriatenessClassification":65.29,"KinopoiskClassification":64.25,"RuReviewsClassification":68.58,"RuSciBenchGRNTIClassification":64.56,"RuSciBenchOECDClassification":51.2,"MassiveIntentClassification (ru)":76.01,"MassiveScenarioClassification (ru)":78.28}
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all_data_tasks/32/default.jsonl CHANGED Viewed

@@ -1,57 +1,55 @@
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 {"index":3,"Rank":2,"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":69.7,"RuBQReranking":74.03,"MIRACLReranking (ru)":65.38}
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 {"index":13,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-max-instruct-v1\">KaLM-embedding-multilingual-max-instruct-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":64.88,"RuBQReranking":72.64,"MIRACLReranking (ru)":57.11}
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 {"index":0,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"Average":76.0,"RiaNewsRetrieval":88.02,"RuBQRetrieval":71.54,"MIRACLRetrieval (ru)":68.43}
 {"index":3,"Rank":2,"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":74.79,"RiaNewsRetrieval":82.99,"RuBQRetrieval":71.22,"MIRACLRetrieval (ru)":70.16}
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@@ -9,15 +9,15 @@
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 {"index":31,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average (26 datasets)":60.59,"Classification Average (6 datasets)":64.15,"Clustering Average (7 datasets)":52.08,"PairClassification Average (2 datasets)":76.62,"Reranking Average (2 datasets)":80.66,"Retrieval Average (5 datasets)":47.85,"STS Average (3 datasets)":80.52,"Summarization Average (1 datasets)":30.52}
 {"index":4,"Rank":11,"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 (26 datasets)":60.58,"Classification Average (6 datasets)":68.45,"Clustering Average (7 datasets)":44.23,"PairClassification Average (2 datasets)":77.3,"Reranking Average (2 datasets)":82.06,"Retrieval Average (5 datasets)":52.98,"STS Average (3 datasets)":80.29,"Summarization Average (1 datasets)":30.34}
-{"index":11,"Rank":12,"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 (26 datasets)":59.79,"Classification Average (6 datasets)":68.72,"Clustering Average (7 datasets)":41.66,"PairClassification Average (2 datasets)":79.46,"Reranking Average (2 datasets)":76.47,"Retrieval Average (5 datasets)":52.97,"STS Average (3 datasets)":81.36,"Summarization Average (1 datasets)":29.74}
 {"index":13,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BookingCare\/gte-multilingual-base-onnx-quantized\">gte-multilingual-base-onnx-quantized<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (26 datasets)":59.79,"Classification Average (6 datasets)":68.72,"Clustering Average (7 datasets)":41.66,"PairClassification Average (2 datasets)":79.46,"Reranking Average (2 datasets)":76.47,"Retrieval Average (5 datasets)":52.97,"STS Average (3 datasets)":81.36,"Summarization Average (1 datasets)":29.74}
-{"index":0,"Rank":14,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average (26 datasets)":59.41,"Classification Average (6 datasets)":68.61,"Clustering Average (7 datasets)":44.74,"PairClassification Average (2 datasets)":77.34,"Reranking Average (2 datasets)":80.46,"Retrieval Average (5 datasets)":46.81,"STS Average (3 datasets)":79.56,"Summarization Average (1 datasets)":31.47}
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-{"index":3,"Rank":16,"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 (26 datasets)":58.53,"Classification Average (6 datasets)":67.44,"Clustering Average (7 datasets)":45.46,"PairClassification Average (2 datasets)":76.88,"Reranking Average (2 datasets)":78.78,"Retrieval Average (5 datasets)":45.33,"STS Average (3 datasets)":77.52,"Summarization Average (1 datasets)":28.34}
-{"index":36,"Rank":17,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":58.34,"Classification Average (6 datasets)":66.25,"Clustering Average (7 datasets)":46.88,"PairClassification Average (2 datasets)":75.56,"Reranking Average (2 datasets)":75.06,"Retrieval Average (5 datasets)":43.4,"STS Average (3 datasets)":80.17,"Summarization Average (1 datasets)":32.33}
-{"index":42,"Rank":18,"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,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":58.03,"Classification Average (6 datasets)":70.02,"Clustering Average (7 datasets)":39.65,"PairClassification Average (2 datasets)":77.1,"Reranking Average (2 datasets)":76.58,"Retrieval Average (5 datasets)":46.78,"STS Average (3 datasets)":80.01,"Summarization Average (1 datasets)":29.69}
-{"index":95,"Rank":19,"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 (26 datasets)":57.81,"Classification Average (6 datasets)":67.36,"Clustering Average (7 datasets)":43.25,"PairClassification Average (2 datasets)":78.97,"Reranking Average (2 datasets)":76.76,"Retrieval Average (5 datasets)":43.84,"STS Average (3 datasets)":78.37,"Summarization Average (1 datasets)":30.39}
-{"index":33,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-document-embedding\">bilingual-document-embedding<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (26 datasets)":57.73,"Classification Average (6 datasets)":66.54,"Clustering Average (7 datasets)":38.61,"PairClassification Average (2 datasets)":78.3,"Reranking Average (2 datasets)":80.35,"Retrieval Average (5 datasets)":46.68,"STS Average (3 datasets)":83.08,"Summarization Average (1 datasets)":31.62}
 {"index":75,"Rank":21,"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,"Embedding Dimensions":2048,"Max Tokens":2048,"Average (26 datasets)":57.19,"Classification Average (6 datasets)":65.96,"Clustering Average (7 datasets)":41.82,"PairClassification Average (2 datasets)":80.15,"Reranking Average (2 datasets)":76.43,"Retrieval Average (5 datasets)":44.41,"STS Average (3 datasets)":77.72,"Summarization Average (1 datasets)":30.22}
 {"index":74,"Rank":22,"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,"Embedding Dimensions":2048,"Max Tokens":2048,"Average (26 datasets)":57.13,"Classification Average (6 datasets)":67.11,"Clustering Average (7 datasets)":40.4,"PairClassification Average (2 datasets)":79.57,"Reranking Average (2 datasets)":75.48,"Retrieval Average (5 datasets)":44.9,"STS Average (3 datasets)":77.64,"Summarization Average (1 datasets)":32.46}
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 {"index":50,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/french-document-embedding\">french-document-embedding<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average (26 datasets)":61.0,"Classification Average (6 datasets)":66.3,"Clustering Average (7 datasets)":48.37,"PairClassification Average (2 datasets)":77.19,"Reranking Average (2 datasets)":80.82,"Retrieval Average (5 datasets)":51.4,"STS Average (3 datasets)":81.9,"Summarization Average (1 datasets)":30.95}
 {"index":31,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average (26 datasets)":60.59,"Classification Average (6 datasets)":64.15,"Clustering Average (7 datasets)":52.08,"PairClassification Average (2 datasets)":76.62,"Reranking Average (2 datasets)":80.66,"Retrieval Average (5 datasets)":47.85,"STS Average (3 datasets)":80.52,"Summarization Average (1 datasets)":30.52}
 {"index":4,"Rank":11,"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 (26 datasets)":60.58,"Classification Average (6 datasets)":68.45,"Clustering Average (7 datasets)":44.23,"PairClassification Average (2 datasets)":77.3,"Reranking Average (2 datasets)":82.06,"Retrieval Average (5 datasets)":52.98,"STS Average (3 datasets)":80.29,"Summarization Average (1 datasets)":30.34}
+{"index":33,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-document-embedding\">bilingual-document-embedding<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (26 datasets)":60.53,"Classification Average (6 datasets)":68.62,"Clustering Average (7 datasets)":45.87,"PairClassification Average (2 datasets)":78.31,"Reranking Average (2 datasets)":81.38,"Retrieval Average (5 datasets)":48.47,"STS Average (3 datasets)":83.02,"Summarization Average (1 datasets)":30.14}
 {"index":13,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BookingCare\/gte-multilingual-base-onnx-quantized\">gte-multilingual-base-onnx-quantized<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (26 datasets)":59.79,"Classification Average (6 datasets)":68.72,"Clustering Average (7 datasets)":41.66,"PairClassification Average (2 datasets)":79.46,"Reranking Average (2 datasets)":76.47,"Retrieval Average (5 datasets)":52.97,"STS Average (3 datasets)":81.36,"Summarization Average (1 datasets)":29.74}
+{"index":11,"Rank":14,"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 (26 datasets)":59.79,"Classification Average (6 datasets)":68.72,"Clustering Average (7 datasets)":41.66,"PairClassification Average (2 datasets)":79.46,"Reranking Average (2 datasets)":76.47,"Retrieval Average (5 datasets)":52.97,"STS Average (3 datasets)":81.36,"Summarization Average (1 datasets)":29.74}
+{"index":0,"Rank":15,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average (26 datasets)":59.41,"Classification Average (6 datasets)":68.61,"Clustering Average (7 datasets)":44.74,"PairClassification Average (2 datasets)":77.34,"Reranking Average (2 datasets)":80.46,"Retrieval Average (5 datasets)":46.81,"STS Average (3 datasets)":79.56,"Summarization Average (1 datasets)":31.47}
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+{"index":36,"Rank":18,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":58.34,"Classification Average (6 datasets)":66.25,"Clustering Average (7 datasets)":46.88,"PairClassification Average (2 datasets)":75.56,"Reranking Average (2 datasets)":75.06,"Retrieval Average (5 datasets)":43.4,"STS Average (3 datasets)":80.17,"Summarization Average (1 datasets)":32.33}
+{"index":42,"Rank":19,"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,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":58.03,"Classification Average (6 datasets)":70.02,"Clustering Average (7 datasets)":39.65,"PairClassification Average (2 datasets)":77.1,"Reranking Average (2 datasets)":76.58,"Retrieval Average (5 datasets)":46.78,"STS Average (3 datasets)":80.01,"Summarization Average (1 datasets)":29.69}
+{"index":95,"Rank":20,"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 (26 datasets)":57.81,"Classification Average (6 datasets)":67.36,"Clustering Average (7 datasets)":43.25,"PairClassification Average (2 datasets)":78.97,"Reranking Average (2 datasets)":76.76,"Retrieval Average (5 datasets)":43.84,"STS Average (3 datasets)":78.37,"Summarization Average (1 datasets)":30.39}
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boards_data/fr/data_tasks/Classification/default.jsonl CHANGED Viewed

@@ -14,18 +14,18 @@
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 {"index":13,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BookingCare\/gte-multilingual-base-onnx-quantized\">gte-multilingual-base-onnx-quantized<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":68.72,"AmazonReviewsClassification (fr)":39.57,"MasakhaNEWSClassification (fra)":80.66,"MassiveIntentClassification (fr)":67.92,"MassiveScenarioClassification (fr)":72.65,"MTOPDomainClassification (fr)":87.49,"MTOPIntentClassification (fr)":64.06}
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-{"index":72,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.1\">sentence_croissant_alpha_v0.1<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":68.48,"AmazonReviewsClassification (fr)":36.62,"MasakhaNEWSClassification (fra)":80.4,"MassiveIntentClassification (fr)":65.86,"MassiveScenarioClassification (fr)":71.6,"MTOPDomainClassification (fr)":88.7,"MTOPIntentClassification (fr)":67.69}
-{"index":4,"Rank":20,"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":68.45,"AmazonReviewsClassification (fr)":41.98,"MasakhaNEWSClassification (fra)":76.42,"MassiveIntentClassification (fr)":66.94,"MassiveScenarioClassification (fr)":72.78,"MTOPDomainClassification (fr)":90.12,"MTOPIntentClassification (fr)":62.44}
-{"index":71,"Rank":21,"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,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":67.57,"AmazonReviewsClassification (fr)":42.33,"MasakhaNEWSClassification (fra)":70.52,"MassiveIntentClassification (fr)":66.7,"MassiveScenarioClassification (fr)":74.58,"MTOPDomainClassification (fr)":90.39,"MTOPIntentClassification (fr)":60.88}
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 {"index":80,"Rank":45,"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":38.32,"AlloProfClusteringP2P":54.78,"AlloProfClusteringS2S":31.6,"HALClusteringS2S":20.62,"MLSUMClusteringP2P (fr)":42.09,"MLSUMClusteringS2S (fr)":34.84,"MasakhaNEWSClusteringP2P (fra)":46.16,"MasakhaNEWSClusteringS2S (fra)":38.13}
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@@ -10,13 +10,13 @@
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boards_data/fr/data_tasks/Reranking/default.jsonl CHANGED Viewed

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boards_data/fr/data_tasks/Retrieval/default.jsonl CHANGED Viewed

@@ -7,17 +7,17 @@
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 {"index":74,"Rank":23,"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,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":44.9,"AlloprofRetrieval":49.84,"BSARDRetrieval":0.22,"MintakaRetrieval (fr)":31.25,"SyntecRetrieval":76.63,"XPQARetrieval (fr)":66.55}

 {"index":61,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ilhamdprastyo\/jina-embeddings-v3-tei\">jina-embeddings-v3-tei<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":53.48,"AlloprofRetrieval":54.28,"BSARDRetrieval":24.76,"MintakaRetrieval (fr)":26.91,"SyntecRetrieval":83.85,"XPQARetrieval (fr)":77.58}
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 {"index":4,"Rank":9,"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":52.98,"AlloprofRetrieval":57.28,"BSARDRetrieval":11.83,"MintakaRetrieval (fr)":34.92,"SyntecRetrieval":87.33,"XPQARetrieval (fr)":73.56}
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 {"index":9,"Rank":12,"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,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":52.56,"AlloprofRetrieval":57.89,"BSARDRetrieval":6.3,"MintakaRetrieval (fr)":42.56,"SyntecRetrieval":90.47,"XPQARetrieval (fr)":65.58}
 {"index":50,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/french-document-embedding\">french-document-embedding<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":51.4,"AlloprofRetrieval":49.5,"BSARDRetrieval":20.24,"MintakaRetrieval (fr)":33.67,"SyntecRetrieval":84.79,"XPQARetrieval (fr)":68.82}
 {"index":35,"Rank":14,"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,"Embedding Dimensions":1024,"Max Tokens":514,"Average":50.09,"AlloprofRetrieval":47.6,"BSARDRetrieval":19.58,"MintakaRetrieval (fr)":32.62,"SyntecRetrieval":84.2,"XPQARetrieval (fr)":66.43}
+{"index":33,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-document-embedding\">bilingual-document-embedding<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":48.47,"AlloprofRetrieval":48.8,"BSARDRetrieval":14.63,"MintakaRetrieval (fr)":24.17,"SyntecRetrieval":85.23,"XPQARetrieval (fr)":69.5}
+{"index":103,"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":48.23,"AlloprofRetrieval":51.64,"BSARDRetrieval":0.61,"MintakaRetrieval (fr)":29.94,"SyntecRetrieval":85.97,"XPQARetrieval (fr)":73.0}
+{"index":30,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-instruct-v1\">KaLM-embedding-multilingual-mini-instruct-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":48.18,"AlloprofRetrieval":50.64,"BSARDRetrieval":19.83,"MintakaRetrieval (fr)":26.45,"SyntecRetrieval":81.9,"XPQARetrieval (fr)":62.09}
+{"index":31,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":47.85,"AlloprofRetrieval":46.75,"BSARDRetrieval":20.47,"MintakaRetrieval (fr)":27.4,"SyntecRetrieval":82.44,"XPQARetrieval (fr)":62.19}
+{"index":0,"Rank":19,"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)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":46.81,"AlloprofRetrieval":56.84,"BSARDRetrieval":2.48,"MintakaRetrieval (fr)":21.73,"SyntecRetrieval":78.77,"XPQARetrieval (fr)":74.24}
+{"index":42,"Rank":20,"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,"Embedding Dimensions":1024,"Max Tokens":514,"Average":46.78,"AlloprofRetrieval":46.94,"BSARDRetrieval":2.08,"MintakaRetrieval (fr)":30.07,"SyntecRetrieval":84.6,"XPQARetrieval (fr)":70.22}
 {"index":3,"Rank":21,"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":45.33,"AlloprofRetrieval":52.61,"BSARDRetrieval":0.29,"MintakaRetrieval (fr)":19.05,"SyntecRetrieval":82.77,"XPQARetrieval (fr)":71.95}
 {"index":34,"Rank":22,"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,"Embedding Dimensions":768,"Max Tokens":514,"Average":44.99,"AlloprofRetrieval":41.26,"BSARDRetrieval":12.22,"MintakaRetrieval (fr)":27.6,"SyntecRetrieval":79.68,"XPQARetrieval (fr)":64.21}
 {"index":74,"Rank":23,"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,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":44.9,"AlloprofRetrieval":49.84,"BSARDRetrieval":0.22,"MintakaRetrieval (fr)":31.25,"SyntecRetrieval":76.63,"XPQARetrieval (fr)":66.55}

boards_data/fr/data_tasks/STS/default.jsonl CHANGED Viewed

@@ -1,7 +1,7 @@
 {"index":61,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ilhamdprastyo\/jina-embeddings-v3-tei\">jina-embeddings-v3-tei<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.89,"STS22 (fr)":83.29,"STSBenchmarkMultilingualSTS (fr)":87.44,"SICKFr":83.95}
 {"index":69,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":84.89,"STS22 (fr)":83.29,"STSBenchmarkMultilingualSTS (fr)":87.44,"SICKFr":83.95}
 {"index":35,"Rank":3,"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,"Embedding Dimensions":1024,"Max Tokens":514,"Average":83.62,"STS22 (fr)":84.64,"STSBenchmarkMultilingualSTS (fr)":87.02,"SICKFr":79.2}
-{"index":33,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-document-embedding\">bilingual-document-embedding<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":83.08,"STS22 (fr)":82.84,"STSBenchmarkMultilingualSTS (fr)":86.59,"SICKFr":79.81}
 {"index":12,"Rank":5,"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,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":82.59,"STS22 (fr)":83.28,"STSBenchmarkMultilingualSTS (fr)":85.09,"SICKFr":79.39}
 {"index":65,"Rank":6,"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":82.46,"STS22 (fr)":82.25,"STSBenchmarkMultilingualSTS (fr)":84.94,"SICKFr":80.2}
 {"index":38,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MichielEeckhout\/gte-Qwen2-7B-instruct-Q4_K_M-GGUF\">gte-Qwen2-7B-instruct-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.31,"STS22 (fr)":82.58,"STSBenchmarkMultilingualSTS (fr)":85.46,"SICKFr":78.9}
@@ -10,8 +10,8 @@
 {"index":45,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/beethogedeon\/gte-Qwen2-7B-instruct-Q4_K_M-GGUF\">gte-Qwen2-7B-instruct-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.31,"STS22 (fr)":82.58,"STSBenchmarkMultilingualSTS (fr)":85.46,"SICKFr":78.9}
 {"index":50,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/french-document-embedding\">french-document-embedding<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.9,"STS22 (fr)":83.19,"STSBenchmarkMultilingualSTS (fr)":84.4,"SICKFr":78.1}
 {"index":52,"Rank":12,"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":81.74,"STS22 (fr)":81.73,"STSBenchmarkMultilingualSTS (fr)":85.79,"SICKFr":77.7}
-{"index":11,"Rank":13,"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":81.36,"STS22 (fr)":81.03,"STSBenchmarkMultilingualSTS (fr)":84.43,"SICKFr":78.63}
-{"index":13,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BookingCare\/gte-multilingual-base-onnx-quantized\">gte-multilingual-base-onnx-quantized<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.36,"STS22 (fr)":81.03,"STSBenchmarkMultilingualSTS (fr)":84.43,"SICKFr":78.63}
 {"index":19,"Rank":15,"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":81.28,"STS22 (fr)":82.76,"STSBenchmarkMultilingualSTS (fr)":81.84,"SICKFr":79.23}
 {"index":9,"Rank":16,"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,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":81.26,"STS22 (fr)":81.84,"STSBenchmarkMultilingualSTS (fr)":82.25,"SICKFr":79.68}
 {"index":102,"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,"Embedding Dimensions":768,"Max Tokens":514,"Average":80.59,"STS22 (fr)":80.31,"STSBenchmarkMultilingualSTS (fr)":84.36,"SICKFr":77.1}

 {"index":61,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ilhamdprastyo\/jina-embeddings-v3-tei\">jina-embeddings-v3-tei<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.89,"STS22 (fr)":83.29,"STSBenchmarkMultilingualSTS (fr)":87.44,"SICKFr":83.95}
 {"index":69,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":84.89,"STS22 (fr)":83.29,"STSBenchmarkMultilingualSTS (fr)":87.44,"SICKFr":83.95}
 {"index":35,"Rank":3,"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,"Embedding Dimensions":1024,"Max Tokens":514,"Average":83.62,"STS22 (fr)":84.64,"STSBenchmarkMultilingualSTS (fr)":87.02,"SICKFr":79.2}
+{"index":33,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-document-embedding\">bilingual-document-embedding<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":83.02,"STS22 (fr)":83.82,"STSBenchmarkMultilingualSTS (fr)":86.79,"SICKFr":78.46}
 {"index":12,"Rank":5,"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,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":82.59,"STS22 (fr)":83.28,"STSBenchmarkMultilingualSTS (fr)":85.09,"SICKFr":79.39}
 {"index":65,"Rank":6,"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":82.46,"STS22 (fr)":82.25,"STSBenchmarkMultilingualSTS (fr)":84.94,"SICKFr":80.2}
 {"index":38,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MichielEeckhout\/gte-Qwen2-7B-instruct-Q4_K_M-GGUF\">gte-Qwen2-7B-instruct-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.31,"STS22 (fr)":82.58,"STSBenchmarkMultilingualSTS (fr)":85.46,"SICKFr":78.9}
 {"index":45,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/beethogedeon\/gte-Qwen2-7B-instruct-Q4_K_M-GGUF\">gte-Qwen2-7B-instruct-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.31,"STS22 (fr)":82.58,"STSBenchmarkMultilingualSTS (fr)":85.46,"SICKFr":78.9}
 {"index":50,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/french-document-embedding\">french-document-embedding<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":81.9,"STS22 (fr)":83.19,"STSBenchmarkMultilingualSTS (fr)":84.4,"SICKFr":78.1}
 {"index":52,"Rank":12,"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":81.74,"STS22 (fr)":81.73,"STSBenchmarkMultilingualSTS (fr)":85.79,"SICKFr":77.7}
+{"index":13,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BookingCare\/gte-multilingual-base-onnx-quantized\">gte-multilingual-base-onnx-quantized<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.36,"STS22 (fr)":81.03,"STSBenchmarkMultilingualSTS (fr)":84.43,"SICKFr":78.63}
+{"index":11,"Rank":14,"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":81.36,"STS22 (fr)":81.03,"STSBenchmarkMultilingualSTS (fr)":84.43,"SICKFr":78.63}
 {"index":19,"Rank":15,"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":81.28,"STS22 (fr)":82.76,"STSBenchmarkMultilingualSTS (fr)":81.84,"SICKFr":79.23}
 {"index":9,"Rank":16,"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,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":81.26,"STS22 (fr)":81.84,"STSBenchmarkMultilingualSTS (fr)":82.25,"SICKFr":79.68}
 {"index":102,"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,"Embedding Dimensions":768,"Max Tokens":514,"Average":80.59,"STS22 (fr)":80.31,"STSBenchmarkMultilingualSTS (fr)":84.36,"SICKFr":77.1}

boards_data/fr/data_tasks/Summarization/default.jsonl CHANGED Viewed

@@ -3,39 +3,39 @@
 {"index":62,"Rank":3,"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,"SummEvalFr":32.22}
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 {"index":65,"Rank":5,"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,"SummEvalFr":31.72}
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 {"index":56,"Rank":15,"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,"SummEvalFr":31.26}
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 {"index":103,"Rank":28,"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,"SummEvalFr":30.5}
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@@ -1,57 +1,55 @@
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boards_data/ru/data_tasks/Classification/default.jsonl CHANGED Viewed

@@ -1,65 +1,63 @@
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boards_data/ru/data_tasks/Clustering/default.jsonl CHANGED Viewed

@@ -1,57 +1,55 @@
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 {"index":12,"Rank":4,"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":61.91,"GeoreviewClusteringP2P":74.06,"RuSciBenchGRNTIClusteringP2P":60.01,"RuSciBenchOECDClusteringP2P":51.66}
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