Automated Leaderboard Update

all_data_tasks/0/default.jsonl

@@ -32,20 +32,20 @@
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 {"index":130,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":75.97,"AmazonCounterfactualClassification (en)":75.76,"AmazonPolarityClassification":93.3,"AmazonReviewsClassification (en)":49.99,"Banking77Classification":86.4,"EmotionClassification":55.07,"ImdbClassification":90.15,"MassiveIntentClassification (en)":76.01,"MassiveScenarioClassification (en)":79.33,"MTOPDomainClassification (en)":95.29,"MTOPIntentClassification (en)":79.57,"ToxicConversationsClassification":69.44,"TweetSentimentExtractionClassification":61.27}
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 {"index":114,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/WhereIsAI\/UAE-Large-V1\">UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":75.58,"AmazonCounterfactualClassification (en)":75.55,"AmazonPolarityClassification":92.84,"AmazonReviewsClassification (en)":48.29,"Banking77Classification":87.69,"EmotionClassification":51.75,"ImdbClassification":92.78,"MassiveIntentClassification (en)":76.5,"MassiveScenarioClassification (en)":79.75,"MTOPDomainClassification (en)":94.02,"MTOPIntentClassification (en)":76.92,"ToxicConversationsClassification":71.09,"TweetSentimentExtractionClassification":59.75}
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 {"index":303,"Rank":45,"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)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":75.45,"AmazonCounterfactualClassification (en)":78.93,"AmazonPolarityClassification":92.85,"AmazonReviewsClassification (en)":48.7,"Banking77Classification":85.69,"EmotionClassification":51.58,"ImdbClassification":87.67,"MassiveIntentClassification (en)":74.64,"MassiveScenarioClassification (en)":79.79,"MTOPDomainClassification (en)":95.36,"MTOPIntentClassification (en)":75.07,"ToxicConversationsClassification":72.92,"TweetSentimentExtractionClassification":62.22}
 {"index":163,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-en-v2\">stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":75.28,"AmazonCounterfactualClassification (en)":77.19,"AmazonPolarityClassification":93.26,"AmazonReviewsClassification (en)":49.61,"Banking77Classification":84.73,"EmotionClassification":54.47,"ImdbClassification":91.31,"MassiveIntentClassification (en)":73.88,"MassiveScenarioClassification (en)":78.28,"MTOPDomainClassification (en)":93.5,"MTOPIntentClassification (en)":71.06,"ToxicConversationsClassification":72.99,"TweetSentimentExtractionClassification":63.07}
-{"index":53,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":75.24,"AmazonCounterfactualClassification (en)":79.22,"AmazonPolarityClassification":93.75,"AmazonReviewsClassification (en)":48.61,"Banking77Classification":84.55,"EmotionClassification":49.45,"ImdbClassification":91.69,"MassiveIntentClassification (en)":73.84,"MassiveScenarioClassification (en)":78.11,"MTOPDomainClassification (en)":94.62,"MTOPIntentClassification (en)":77.14,"ToxicConversationsClassification":70.9,"TweetSentimentExtractionClassification":60.94}
-{"index":167,"Rank":48,"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,"Embedding Dimensions":1024,"Max Tokens":512,"Average":75.24,"AmazonCounterfactualClassification (en)":79.22,"AmazonPolarityClassification":93.75,"AmazonReviewsClassification (en)":48.61,"Banking77Classification":84.55,"EmotionClassification":49.45,"ImdbClassification":91.69,"MassiveIntentClassification (en)":73.84,"MassiveScenarioClassification (en)":78.11,"MTOPDomainClassification (en)":94.62,"MTOPIntentClassification (en)":77.14,"ToxicConversationsClassification":70.9,"TweetSentimentExtractionClassification":60.94}
+{"index":167,"Rank":47,"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,"Embedding Dimensions":1024,"Max Tokens":512,"Average":75.24,"AmazonCounterfactualClassification (en)":79.22,"AmazonPolarityClassification":93.75,"AmazonReviewsClassification (en)":48.61,"Banking77Classification":84.55,"EmotionClassification":49.45,"ImdbClassification":91.69,"MassiveIntentClassification (en)":73.84,"MassiveScenarioClassification (en)":78.11,"MTOPDomainClassification (en)":94.62,"MTOPIntentClassification (en)":77.14,"ToxicConversationsClassification":70.9,"TweetSentimentExtractionClassification":60.94}
+{"index":53,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":75.24,"AmazonCounterfactualClassification (en)":79.22,"AmazonPolarityClassification":93.75,"AmazonReviewsClassification (en)":48.61,"Banking77Classification":84.55,"EmotionClassification":49.45,"ImdbClassification":91.69,"MassiveIntentClassification (en)":73.84,"MassiveScenarioClassification (en)":78.11,"MTOPDomainClassification (en)":94.62,"MTOPIntentClassification (en)":77.14,"ToxicConversationsClassification":70.9,"TweetSentimentExtractionClassification":60.94}
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 {"index":54,"Rank":51,"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":74.81,"AmazonCounterfactualClassification (en)":79.06,"AmazonPolarityClassification":93.49,"AmazonReviewsClassification (en)":47.56,"Banking77Classification":84.73,"EmotionClassification":46.5,"ImdbClassification":90.23,"MassiveIntentClassification (en)":73.76,"MassiveScenarioClassification (en)":77.51,"MTOPDomainClassification (en)":93.67,"MTOPIntentClassification (en)":77.9,"ToxicConversationsClassification":71.32,"TweetSentimentExtractionClassification":61.98}
@@ -58,13 +58,13 @@
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@@ -117,8 +117,8 @@
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@@ -129,8 +129,8 @@
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all_data_tasks/1/default.jsonl

@@ -67,10 +67,10 @@
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 {"index":211,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":43.91,"ArxivClusteringP2P":45.93,"ArxivClusteringS2S":36.65,"BiorxivClusteringP2P":38.49,"BiorxivClusteringS2S":32.76,"MedrxivClusteringP2P":33.74,"MedrxivClusteringS2S":30.64,"RedditClustering":56.32,"RedditClusteringP2P":61.9,"StackExchangeClustering":64.31,"StackExchangeClusteringP2P":33.26,"TwentyNewsgroupsClustering":49.06}
 {"index":26,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":43.82,"ArxivClusteringP2P":47.4,"ArxivClusteringS2S":40.02,"BiorxivClusteringP2P":38.47,"BiorxivClusteringS2S":34.72,"MedrxivClusteringP2P":33.06,"MedrxivClusteringS2S":30.86,"RedditClustering":52.32,"RedditClusteringP2P":60.64,"StackExchangeClustering":60.78,"StackExchangeClusteringP2P":35.27,"TwentyNewsgroupsClustering":48.52}
 {"index":153,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":43.8,"ArxivClusteringP2P":46.1,"ArxivClusteringS2S":39.67,"BiorxivClusteringP2P":37.5,"BiorxivClusteringS2S":32.72,"MedrxivClusteringP2P":31.46,"MedrxivClusteringS2S":28.99,"RedditClustering":56.16,"RedditClusteringP2P":63.43,"StackExchangeClustering":65.15,"StackExchangeClusteringP2P":32.5,"TwentyNewsgroupsClustering":48.16}
@@ -101,12 +101,12 @@
 {"index":106,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":41.87,"ArxivClusteringP2P":47.24,"ArxivClusteringS2S":37.43,"BiorxivClusteringP2P":36.97,"BiorxivClusteringS2S":31.98,"MedrxivClusteringP2P":31.5,"MedrxivClusteringS2S":28.41,"RedditClustering":47.53,"RedditClusteringP2P":62.76,"StackExchangeClustering":59.55,"StackExchangeClusteringP2P":39.43,"TwentyNewsgroupsClustering":37.73}
 {"index":239,"Rank":102,"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":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}
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 {"index":255,"Rank":106,"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,"Embedding Dimensions":768,"Max Tokens":512,"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}
 {"index":247,"Rank":107,"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,"Embedding Dimensions":768,"Max Tokens":512,"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}
-{"index":107,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":41.51,"ArxivClusteringP2P":45.56,"ArxivClusteringS2S":35.61,"BiorxivClusteringP2P":36.16,"BiorxivClusteringS2S":30.14,"MedrxivClusteringP2P":31.12,"MedrxivClusteringS2S":26.73,"RedditClustering":50.24,"RedditClusteringP2P":61.45,"StackExchangeClustering":62.63,"StackExchangeClusteringP2P":37.17,"TwentyNewsgroupsClustering":39.83}
-{"index":285,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":41.51,"ArxivClusteringP2P":45.56,"ArxivClusteringS2S":35.61,"BiorxivClusteringP2P":36.16,"BiorxivClusteringS2S":30.14,"MedrxivClusteringP2P":31.12,"MedrxivClusteringS2S":26.73,"RedditClustering":50.24,"RedditClusteringP2P":61.45,"StackExchangeClustering":62.63,"StackExchangeClusteringP2P":37.17,"TwentyNewsgroupsClustering":39.83}
+{"index":285,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":41.51,"ArxivClusteringP2P":45.56,"ArxivClusteringS2S":35.61,"BiorxivClusteringP2P":36.16,"BiorxivClusteringS2S":30.14,"MedrxivClusteringP2P":31.12,"MedrxivClusteringS2S":26.73,"RedditClustering":50.24,"RedditClusteringP2P":61.45,"StackExchangeClustering":62.63,"StackExchangeClusteringP2P":37.17,"TwentyNewsgroupsClustering":39.83}
+{"index":107,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":41.51,"ArxivClusteringP2P":45.56,"ArxivClusteringS2S":35.61,"BiorxivClusteringP2P":36.16,"BiorxivClusteringS2S":30.14,"MedrxivClusteringP2P":31.12,"MedrxivClusteringS2S":26.73,"RedditClustering":50.24,"RedditClusteringP2P":61.45,"StackExchangeClustering":62.63,"StackExchangeClusteringP2P":37.17,"TwentyNewsgroupsClustering":39.83}
 {"index":248,"Rank":110,"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,"Embedding Dimensions":768,"Max Tokens":512,"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}
 {"index":105,"Rank":111,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-l\">snowflake-arctic-embed-l<\/a>","Model Size (Million Parameters)":334,"Memory Usage (GB, fp32)":1.24,"Embedding Dimensions":1024,"Max Tokens":512,"Average":41.49,"ArxivClusteringP2P":47.46,"ArxivClusteringS2S":38.29,"BiorxivClusteringP2P":37.54,"BiorxivClusteringS2S":32.65,"MedrxivClusteringP2P":31.47,"MedrxivClusteringS2S":28.94,"RedditClustering":46.02,"RedditClusteringP2P":62.43,"StackExchangeClustering":57.86,"StackExchangeClusteringP2P":37.82,"TwentyNewsgroupsClustering":35.91}
 {"index":172,"Rank":112,"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":41.23,"ArxivClusteringP2P":44.31,"ArxivClusteringS2S":38.43,"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}
@@ -142,9 +142,9 @@
 {"index":112,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.18,"ArxivClusteringP2P":44.53,"ArxivClusteringS2S":33.25,"BiorxivClusteringP2P":36.11,"BiorxivClusteringS2S":28.06,"MedrxivClusteringP2P":31.56,"MedrxivClusteringS2S":28.13,"RedditClustering":45.46,"RedditClusteringP2P":55.16,"StackExchangeClustering":54.51,"StackExchangeClusteringP2P":34.07,"TwentyNewsgroupsClustering":40.19}
 {"index":59,"Rank":143,"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":39.16,"ArxivClusteringP2P":41.76,"ArxivClusteringS2S":31.63,"BiorxivClusteringP2P":36.01,"BiorxivClusteringS2S":28.77,"MedrxivClusteringP2P":31.27,"MedrxivClusteringS2S":28.97,"RedditClustering":47.39,"RedditClusteringP2P":58.38,"StackExchangeClustering":52.47,"StackExchangeClusteringP2P":33.63,"TwentyNewsgroupsClustering":40.52}
 {"index":177,"Rank":144,"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)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":39.11,"ArxivClusteringP2P":44.52,"ArxivClusteringS2S":34.45,"BiorxivClusteringP2P":35.25,"BiorxivClusteringS2S":30.71,"MedrxivClusteringP2P":29.43,"MedrxivClusteringS2S":28.87,"RedditClustering":44.52,"RedditClusteringP2P":53.61,"StackExchangeClustering":57.11,"StackExchangeClusteringP2P":31.91,"TwentyNewsgroupsClustering":39.8}
-{"index":185,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
+{"index":61,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
 {"index":136,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
-{"index":61,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
+{"index":185,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
 {"index":133,"Rank":148,"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":38.93,"ArxivClusteringP2P":44.59,"ArxivClusteringS2S":38.03,"BiorxivClusteringP2P":36.03,"BiorxivClusteringS2S":32.48,"MedrxivClusteringP2P":31.05,"MedrxivClusteringS2S":29.26,"RedditClustering":35.53,"RedditClusteringP2P":54.52,"StackExchangeClustering":55.13,"StackExchangeClusteringP2P":34.31,"TwentyNewsgroupsClustering":37.28}
 {"index":110,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":38.86,"ArxivClusteringP2P":43.5,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.48,"BiorxivClusteringS2S":26.14,"MedrxivClusteringP2P":30.57,"MedrxivClusteringS2S":26.22,"RedditClustering":48.32,"RedditClusteringP2P":57.84,"StackExchangeClustering":57.49,"StackExchangeClusteringP2P":34.58,"TwentyNewsgroupsClustering":36.28}
 {"index":246,"Rank":150,"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,"Embedding Dimensions":768,"Max Tokens":512,"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}

all_data_tasks/2/default.jsonl

@@ -54,8 +54,8 @@
 {"index":25,"Rank":54,"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":85.84,"SprintDuplicateQuestions":90.94,"TwitterSemEval2015":79.64,"TwitterURLCorpus":86.95}
 {"index":32,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46}
 {"index":17,"Rank":56,"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,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":85.79,"SprintDuplicateQuestions":92.82,"TwitterSemEval2015":77.96,"TwitterURLCorpus":86.59}
-{"index":165,"Rank":57,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
-{"index":153,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
+{"index":153,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
+{"index":165,"Rank":58,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
 {"index":303,"Rank":59,"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)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":85.72,"SprintDuplicateQuestions":92.25,"TwitterSemEval2015":77.13,"TwitterURLCorpus":87.78}
 {"index":119,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/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":85.61,"SprintDuplicateQuestions":92.57,"TwitterSemEval2015":77.07,"TwitterURLCorpus":87.19}
 {"index":57,"Rank":61,"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":85.61,"SprintDuplicateQuestions":92.57,"TwitterSemEval2015":77.07,"TwitterURLCorpus":87.19}
@@ -110,9 +110,9 @@
 {"index":116,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/EminEmbed-multilingual-v1.0\">EminEmbed-multilingual-v1.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.94,"SprintDuplicateQuestions":94.23,"TwitterSemEval2015":70.85,"TwitterURLCorpus":86.73}
 {"index":246,"Rank":111,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.85,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":72.23,"TwitterURLCorpus":84.77}
 {"index":213,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.67,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":69.68,"TwitterURLCorpus":85.41}
-{"index":61,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
+{"index":185,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
 {"index":136,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
-{"index":185,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
+{"index":61,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
 {"index":287,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.58,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":70.34,"TwitterURLCorpus":85.72}
 {"index":171,"Rank":117,"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":83.57,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48}
 {"index":214,"Rank":118,"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,"Embedding Dimensions":128,"Max Tokens":8192,"Average":83.54,"SprintDuplicateQuestions":91.45,"TwitterSemEval2015":73.23,"TwitterURLCorpus":85.93}
@@ -134,14 +134,14 @@
 {"index":64,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/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":82.59,"SprintDuplicateQuestions":92.18,"TwitterSemEval2015":70.75,"TwitterURLCorpus":84.83}
 {"index":219,"Rank":135,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.54,"SprintDuplicateQuestions":95.55,"TwitterSemEval2015":66.85,"TwitterURLCorpus":85.21}
 {"index":239,"Rank":136,"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":82.46,"SprintDuplicateQuestions":92.58,"TwitterSemEval2015":70.02,"TwitterURLCorpus":84.77}
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+{"index":285,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.02,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":66.17,"TwitterURLCorpus":85.21}
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all_data_tasks/5/default.jsonl

@@ -1,5 +1,5 @@
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@@ -30,8 +30,8 @@
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 {"index":265,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.35,"BIOSSES":88.65,"SICK-R":79.81,"STS12":76.81,"STS13":88.11,"STS14":82.66,"STS15":88.93,"STS16":84.25,"STS17 (en-en)":88.47,"STS22 (en)":69.71,"STSBenchmark":86.07}
 {"index":102,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.34,"BIOSSES":85.81,"SICK-R":81.75,"STS12":78.51,"STS13":86.62,"STS14":83.06,"STS15":88.39,"STS16":86.82,"STS17 (en-en)":87.9,"STS22 (en)":66.76,"STSBenchmark":87.77}
@@ -39,9 +39,9 @@
 {"index":44,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":83.26,"BIOSSES":87.34,"SICK-R":80.56,"STS12":73.69,"STS13":85.82,"STS14":82.05,"STS15":88.8,"STS16":86.2,"STS17 (en-en)":91.46,"STS22 (en)":69.21,"STSBenchmark":87.43}
 {"index":34,"Rank":40,"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":83.15,"BIOSSES":85.01,"SICK-R":82.18,"STS12":77.62,"STS13":85.16,"STS14":80.02,"STS15":88.92,"STS16":86.92,"STS17 (en-en)":90.09,"STS22 (en)":66.81,"STSBenchmark":88.79}
 {"index":161,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.15,"BIOSSES":84.39,"SICK-R":81.27,"STS12":76.28,"STS13":88.18,"STS14":81.92,"STS15":89.01,"STS16":85.49,"STS17 (en-en)":90.3,"STS22 (en)":67.74,"STSBenchmark":86.88}
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-{"index":229,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
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 {"index":162,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.06,"BIOSSES":84.15,"SICK-R":81.7,"STS12":75.32,"STS13":87.44,"STS14":81.87,"STS15":88.94,"STS16":85.38,"STS17 (en-en)":90.54,"STS22 (en)":68.65,"STSBenchmark":86.56}
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@@ -56,9 +56,9 @@
 {"index":16,"Rank":56,"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":82.73,"BIOSSES":82.11,"SICK-R":80.49,"STS12":77.25,"STS13":87.79,"STS14":82.91,"STS15":88.45,"STS16":85.45,"STS17 (en-en)":90.33,"STS22 (en)":66.1,"STSBenchmark":86.38}
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 {"index":15,"Rank":64,"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,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.42,"BIOSSES":81.12,"SICK-R":79.15,"STS12":76.52,"STS13":88.63,"STS14":83.32,"STS15":87.5,"STS16":86.39,"STS17 (en-en)":87.79,"STS22 (en)":66.4,"STSBenchmark":87.35}
@@ -76,9 +76,9 @@
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@@ -102,16 +102,16 @@
 {"index":165,"Rank":102,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.05,"BIOSSES":81.4,"SICK-R":78.3,"STS12":75.79,"STS13":83.58,"STS14":79.95,"STS15":88.82,"STS16":84.46,"STS17 (en-en)":87.58,"STS22 (en)":64.07,"STSBenchmark":86.52}
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 {"index":213,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.84,"BIOSSES":87.19,"SICK-R":74.19,"STS12":73.22,"STS13":84.77,"STS14":79.99,"STS15":87.27,"STS16":82.31,"STS17 (en-en)":89.54,"STS22 (en)":65.93,"STSBenchmark":83.96}
 {"index":253,"Rank":110,"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":80.77,"BIOSSES":76.27,"SICK-R":79.62,"STS12":77.9,"STS13":85.11,"STS14":80.81,"STS15":87.48,"STS16":83.2,"STS17 (en-en)":86.99,"STS22 (en)":63.52,"STSBenchmark":86.82}
 {"index":214,"Rank":111,"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,"Embedding Dimensions":128,"Max Tokens":8192,"Average":80.74,"BIOSSES":80.19,"SICK-R":79.09,"STS12":77.49,"STS13":85.62,"STS14":80.5,"STS15":85.84,"STS16":83.9,"STS17 (en-en)":86.27,"STS22 (en)":64.24,"STSBenchmark":84.28}
 {"index":127,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.72,"BIOSSES":81.26,"SICK-R":79.09,"STS12":75.04,"STS13":83.26,"STS14":78.62,"STS15":87.03,"STS16":83.01,"STS17 (en-en)":87.36,"STS22 (en)":68.11,"STSBenchmark":84.4}
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-{"index":280,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.7,"BIOSSES":81.23,"SICK-R":79.65,"STS12":74.27,"STS13":84.18,"STS14":78.81,"STS15":87.55,"STS16":85.35,"STS17 (en-en)":88.88,"STS22 (en)":62.2,"STSBenchmark":84.84}
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+{"index":186,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.7,"BIOSSES":81.23,"SICK-R":79.65,"STS12":74.27,"STS13":84.18,"STS14":78.81,"STS15":87.55,"STS16":85.35,"STS17 (en-en)":88.88,"STS22 (en)":62.2,"STSBenchmark":84.84}
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 {"index":284,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.59,"BIOSSES":82.19,"SICK-R":79.25,"STS12":73.71,"STS13":82.32,"STS14":80.07,"STS15":87.21,"STS16":82.33,"STS17 (en-en)":87.58,"STS22 (en)":66.3,"STSBenchmark":84.92}
 {"index":89,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":80.53,"BIOSSES":79.5,"SICK-R":79.59,"STS12":74.29,"STS13":85.35,"STS14":79.21,"STS15":85.52,"STS16":82.54,"STS17 (en-en)":90.44,"STS22 (en)":63.2,"STSBenchmark":85.67}
@@ -125,8 +125,8 @@
 {"index":144,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":80.17,"BIOSSES":75.32,"SICK-R":80.91,"STS12":76.98,"STS13":82.63,"STS14":77.84,"STS15":85.92,"STS16":80.68,"STS17 (en-en)":88.99,"STS22 (en)":68.26,"STSBenchmark":84.2}
 {"index":33,"Rank":126,"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)":"","Embedding Dimensions":384,"Max Tokens":512,"Average":80.09,"BIOSSES":84.01,"SICK-R":77.04,"STS12":73.22,"STS13":79.5,"STS14":76.96,"STS15":86.43,"STS16":84.33,"STS17 (en-en)":88.67,"STS22 (en)":65.31,"STSBenchmark":85.46}
 {"index":188,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":80.0,"BIOSSES":80.52,"SICK-R":76.72,"STS12":73.66,"STS13":83.3,"STS14":79.17,"STS15":87.3,"STS16":83.6,"STS17 (en-en)":88.23,"STS22 (en)":63.46,"STSBenchmark":84.04}
-{"index":179,"Rank":128,"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)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":79.93,"BIOSSES":84.44,"SICK-R":78.53,"STS12":74.07,"STS13":81.81,"STS14":77.05,"STS15":84.61,"STS16":83.09,"STS17 (en-en)":89.15,"STS22 (en)":62.92,"STSBenchmark":83.63}
-{"index":182,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":79.93,"BIOSSES":83.58,"SICK-R":79.14,"STS12":75.06,"STS13":80.86,"STS14":76.13,"STS15":85.55,"STS16":81.21,"STS17 (en-en)":88.98,"STS22 (en)":66.22,"STSBenchmark":82.57}
+{"index":182,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":79.93,"BIOSSES":83.58,"SICK-R":79.14,"STS12":75.06,"STS13":80.86,"STS14":76.13,"STS15":85.55,"STS16":81.21,"STS17 (en-en)":88.98,"STS22 (en)":66.22,"STSBenchmark":82.57}
+{"index":179,"Rank":129,"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)":"","Embedding Dimensions":1024,"Max Tokens":2048,"Average":79.93,"BIOSSES":84.44,"SICK-R":78.53,"STS12":74.07,"STS13":81.81,"STS14":77.05,"STS15":84.61,"STS16":83.09,"STS17 (en-en)":89.15,"STS22 (en)":62.92,"STSBenchmark":83.63}
 {"index":74,"Rank":130,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Ivysaur\">Ivysaur<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":79.89,"BIOSSES":87.32,"SICK-R":75.63,"STS12":68.58,"STS13":80.54,"STS14":77.63,"STS15":86.16,"STS16":82.82,"STS17 (en-en)":88.57,"STS22 (en)":67.39,"STSBenchmark":84.25}
 {"index":239,"Rank":131,"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":79.8,"BIOSSES":83.57,"SICK-R":79.32,"STS12":73.08,"STS13":82.13,"STS14":76.73,"STS15":85.58,"STS16":80.23,"STS17 (en-en)":88.63,"STS22 (en)":65.67,"STSBenchmark":83.09}
 {"index":217,"Rank":132,"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,"Embedding Dimensions":64,"Max Tokens":8192,"Average":79.79,"BIOSSES":77.18,"SICK-R":78.76,"STS12":77.3,"STS13":84.18,"STS14":79.37,"STS15":84.69,"STS16":83.36,"STS17 (en-en)":85.73,"STS22 (en)":63.83,"STSBenchmark":83.46}

all_data_tasks/6/default.jsonl

@@ -17,8 +17,8 @@
 {"index":265,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":31.66}
 {"index":23,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":31.61}
 {"index":181,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jamesgpt1\/sf_model_e5\">sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":31.61}
-{"index":229,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.61}
-{"index":230,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.61}
+{"index":230,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q8_0-GGUF\">bge-large-en-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.61}
+{"index":229,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.61}
 {"index":123,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aimlresearch2023\/jina-embeddings-v2-base-en-Q8_0-GGUF\">jina-embeddings-v2-base-en-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.6}
 {"index":280,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/walsons\/jina-embeddings-v2-base-en-Q4_K_M-GGUF\">jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.6}
 {"index":186,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":31.6}
@@ -50,8 +50,8 @@
 {"index":25,"Rank":50,"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,"SummEval":31.2}
 {"index":220,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.2}
 {"index":16,"Rank":52,"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,"SummEval":31.17}
-{"index":18,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":31.17}
-{"index":264,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.17}
+{"index":264,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.17}
+{"index":18,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":31.17}
 {"index":225,"Rank":55,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.17}
 {"index":170,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.16}
 {"index":111,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro\">bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.16}
@@ -66,8 +66,8 @@
 {"index":21,"Rank":66,"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)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.07}
 {"index":148,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/djovak\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.05}
 {"index":238,"Rank":68,"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,"SummEval":31.05}
-{"index":305,"Rank":69,"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,"Embedding Dimensions":30522,"Max Tokens":512,"SummEval":31.03}
-{"index":87,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":31.03}
+{"index":87,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":31.03}
+{"index":305,"Rank":70,"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,"Embedding Dimensions":30522,"Max Tokens":512,"SummEval":31.03}
 {"index":164,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.01}
 {"index":9,"Rank":72,"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,"Embedding Dimensions":1024,"Max Tokens":4000,"SummEval":31.01}
 {"index":191,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.01}
@@ -75,8 +75,8 @@
 {"index":60,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.98}
 {"index":8,"Rank":76,"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)":"","Embedding Dimensions":1024,"Max Tokens":4000,"SummEval":30.97}
 {"index":166,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.97}
-{"index":180,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.97}
-{"index":73,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.97}
+{"index":73,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.97}
+{"index":180,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.97}
 {"index":128,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.96}
 {"index":67,"Rank":81,"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,"Embedding Dimensions":4096,"Max Tokens":8192,"SummEval":30.94}
 {"index":19,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"SummEval":30.91}
@@ -92,21 +92,21 @@
 {"index":22,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-en-icl\">bge-en-icl<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.77}
 {"index":190,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.73}
 {"index":213,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.72}
-{"index":77,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Wartortle\">Wartortle<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.71}
+{"index":182,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.71}
 {"index":100,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.71}
-{"index":182,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.71}
+{"index":77,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Wartortle\">Wartortle<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.71}
 {"index":270,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/twadada\/nmc-nignore15\">nmc-nignore15<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.7}
 {"index":221,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.7}
 {"index":91,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-MiniLM-L12-v2-all-nli-triplet\">Arabic-MiniLM-L12-v2-all-nli-triplet<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.69}
 {"index":252,"Rank":101,"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,"SummEval":30.67}
 {"index":249,"Rank":102,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.64}
-{"index":103,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/LLaMA-embeeding\">LLaMA-embeeding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.62}
-{"index":178,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":30.62}
+{"index":178,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":30.62}
+{"index":103,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/LLaMA-embeeding\">LLaMA-embeeding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.62}
 {"index":130,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.6}
 {"index":20,"Rank":106,"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,"SummEval":30.58}
 {"index":278,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.57}
-{"index":154,"Rank":108,"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":"","SummEval":30.56}
-{"index":188,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.56}
+{"index":188,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.56}
+{"index":154,"Rank":109,"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":"","SummEval":30.56}
 {"index":82,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test24\">test24<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.52}
 {"index":244,"Rank":111,"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,"Embedding Dimensions":300,"Max Tokens":"N\/A","SummEval":30.49}
 {"index":216,"Rank":112,"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,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.47}
@@ -114,31 +114,31 @@
 {"index":84,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEval":30.43}
 {"index":266,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.42}
 {"index":33,"Rank":116,"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)":"","Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.41}
-{"index":291,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
-{"index":117,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
-{"index":98,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
-{"index":218,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.4}
+{"index":218,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.4}
+{"index":98,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
+{"index":117,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
+{"index":291,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
 {"index":43,"Rank":121,"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,"SummEval":30.39}
 {"index":89,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.38}
-{"index":108,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
-{"index":219,"Rank":124,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
+{"index":219,"Rank":123,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
+{"index":108,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
 {"index":106,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.31}
 {"index":75,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Squirtle\">Squirtle<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.3}
 {"index":165,"Rank":127,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.28}
 {"index":153,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"SummEval":30.28}
-{"index":86,"Rank":129,"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,"SummEval":30.26}
-{"index":56,"Rank":130,"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,"SummEval":30.26}
+{"index":56,"Rank":129,"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,"SummEval":30.26}
+{"index":86,"Rank":130,"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,"SummEval":30.26}
 {"index":192,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.25}
 {"index":171,"Rank":132,"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,"SummEval":30.23}
 {"index":248,"Rank":133,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.21}
-{"index":53,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.19}
-{"index":167,"Rank":135,"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,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.19}
-{"index":70,"Rank":136,"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,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.19}
+{"index":70,"Rank":134,"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,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.19}
+{"index":53,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.19}
+{"index":167,"Rank":136,"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,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.19}
 {"index":32,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.18}
 {"index":92,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-all-nli-triplet-Matryoshka\">Arabic-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.16}
 {"index":26,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.12}
-{"index":260,"Rank":140,"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,"SummEval":30.1}
-{"index":110,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.1}
+{"index":110,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.1}
+{"index":260,"Rank":141,"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,"SummEval":30.1}
 {"index":271,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/twadada\/nmc-nignore30\">nmc-nignore30<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.1}
 {"index":211,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.08}
 {"index":257,"Rank":144,"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,"SummEval":30.08}
@@ -148,8 +148,8 @@
 {"index":71,"Rank":148,"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,"Embedding Dimensions":2048,"Max Tokens":4096,"SummEval":30.01}
 {"index":64,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.98}
 {"index":69,"Rank":150,"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,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":29.96}
-{"index":303,"Rank":151,"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)":"","Embedding Dimensions":3072,"Max Tokens":8191,"SummEval":29.92}
-{"index":302,"Rank":152,"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)":"","Embedding Dimensions":256,"Max Tokens":8191,"SummEval":29.92}
+{"index":302,"Rank":151,"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)":"","Embedding Dimensions":256,"Max Tokens":8191,"SummEval":29.92}
+{"index":303,"Rank":152,"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)":"","Embedding Dimensions":3072,"Max Tokens":8191,"SummEval":29.92}
 {"index":76,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Venusaur\">Venusaur<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.91}
 {"index":256,"Rank":154,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.91}
 {"index":187,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":29.87}
@@ -158,12 +158,12 @@
 {"index":183,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":29.85}
 {"index":160,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.85}
 {"index":125,"Rank":160,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":384,"Max Tokens":4096,"SummEval":29.83}
-{"index":132,"Rank":161,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.82}
-{"index":44,"Rank":162,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":29.82}
+{"index":44,"Rank":161,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":29.82}
+{"index":132,"Rank":162,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.82}
 {"index":284,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.78}
-{"index":189,"Rank":164,"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,"SummEval":29.71}
+{"index":276,"Rank":164,"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)":"","Embedding Dimensions":512,"Max Tokens":512,"SummEval":29.71}
 {"index":85,"Rank":165,"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,"SummEval":29.71}
-{"index":276,"Rank":166,"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)":"","Embedding Dimensions":512,"Max Tokens":512,"SummEval":29.71}
+{"index":189,"Rank":166,"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,"SummEval":29.71}
 {"index":54,"Rank":167,"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":"","SummEval":29.69}
 {"index":246,"Rank":168,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.67}
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boards_data/en/data_tasks/Classification/default.jsonl

@@ -32,20 +32,20 @@
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@@ -58,13 +58,13 @@
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+{"index":117,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.55,"AmazonCounterfactualClassification (en)":75.21,"AmazonPolarityClassification":91.81,"AmazonReviewsClassification (en)":47.16,"Banking77Classification":84.25,"EmotionClassification":47.99,"ImdbClassification":85.31,"MassiveIntentClassification (en)":73.46,"MassiveScenarioClassification (en)":77.08,"MTOPDomainClassification (en)":93.01,"MTOPIntentClassification (en)":75.03,"ToxicConversationsClassification":71.42,"TweetSentimentExtractionClassification":60.92}
 {"index":209,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-quant\">bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.52,"AmazonCounterfactualClassification (en)":74.19,"AmazonPolarityClassification":91.89,"AmazonReviewsClassification (en)":46.72,"Banking77Classification":85.1,"EmotionClassification":46.84,"ImdbClassification":89.35,"MassiveIntentClassification (en)":74.01,"MassiveScenarioClassification (en)":77.96,"MTOPDomainClassification (en)":92.67,"MTOPIntentClassification (en)":74.03,"ToxicConversationsClassification":69.5,"TweetSentimentExtractionClassification":60.02}
 {"index":123,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aimlresearch2023\/jina-embeddings-v2-base-en-Q8_0-GGUF\">jina-embeddings-v2-base-en-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":73.45,"AmazonCounterfactualClassification (en)":74.73,"AmazonPolarityClassification":88.54,"AmazonReviewsClassification (en)":45.26,"Banking77Classification":84.01,"EmotionClassification":48.77,"ImdbClassification":79.44,"MassiveIntentClassification (en)":71.93,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":95.68,"MTOPIntentClassification (en)":83.15,"ToxicConversationsClassification":73.35,"TweetSentimentExtractionClassification":62.06}
 {"index":186,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":73.45,"AmazonCounterfactualClassification (en)":74.73,"AmazonPolarityClassification":88.54,"AmazonReviewsClassification (en)":45.26,"Banking77Classification":84.01,"EmotionClassification":48.77,"ImdbClassification":79.44,"MassiveIntentClassification (en)":71.93,"MassiveScenarioClassification (en)":74.49,"MTOPDomainClassification (en)":95.68,"MTOPIntentClassification (en)":83.15,"ToxicConversationsClassification":73.35,"TweetSentimentExtractionClassification":62.06}
@@ -117,8 +117,8 @@
 {"index":171,"Rank":117,"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":69.76,"AmazonCounterfactualClassification (en)":77.36,"AmazonPolarityClassification":91.76,"AmazonReviewsClassification (en)":47.54,"Banking77Classification":73.53,"EmotionClassification":45.68,"ImdbClassification":84.29,"MassiveIntentClassification (en)":65.71,"MassiveScenarioClassification (en)":71.57,"MTOPDomainClassification (en)":90.9,"MTOPIntentClassification (en)":61.6,"ToxicConversationsClassification":64.33,"TweetSentimentExtractionClassification":62.8}
 {"index":214,"Rank":118,"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,"Embedding Dimensions":128,"Max Tokens":8192,"Average":69.7,"AmazonCounterfactualClassification (en)":69.78,"AmazonPolarityClassification":88.74,"AmazonReviewsClassification (en)":43.11,"Banking77Classification":82.78,"EmotionClassification":42.92,"ImdbClassification":80.87,"MassiveIntentClassification (en)":69.34,"MassiveScenarioClassification (en)":74.21,"MTOPDomainClassification (en)":89.61,"MTOPIntentClassification (en)":68.9,"ToxicConversationsClassification":68.16,"TweetSentimentExtractionClassification":57.99}
 {"index":191,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.65,"AmazonCounterfactualClassification (en)":70.12,"AmazonPolarityClassification":92.95,"AmazonReviewsClassification (en)":50.52,"Banking77Classification":75.59,"EmotionClassification":45.98,"ImdbClassification":90.22,"MassiveIntentClassification (en)":65.03,"MassiveScenarioClassification (en)":71.05,"MTOPDomainClassification (en)":88.63,"MTOPIntentClassification (en)":58.08,"ToxicConversationsClassification":69.33,"TweetSentimentExtractionClassification":58.25}
-{"index":187,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
-{"index":224,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
+{"index":224,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/piaopiao0095\/jina-embeddings-v2-base-es-Q5_K_M-GGUF\">jina-embeddings-v2-base-es-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
+{"index":187,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":69.02,"AmazonCounterfactualClassification (en)":74.25,"AmazonPolarityClassification":78.31,"AmazonReviewsClassification (en)":38.32,"Banking77Classification":85.26,"EmotionClassification":46.58,"ImdbClassification":67.46,"MassiveIntentClassification (en)":70.76,"MassiveScenarioClassification (en)":73.82,"MTOPDomainClassification (en)":90.37,"MTOPIntentClassification (en)":71.97,"ToxicConversationsClassification":70.05,"TweetSentimentExtractionClassification":61.06}
 {"index":188,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":68.82,"AmazonCounterfactualClassification (en)":71.36,"AmazonPolarityClassification":82.9,"AmazonReviewsClassification (en)":40.89,"Banking77Classification":78.25,"EmotionClassification":44.01,"ImdbClassification":73.64,"MassiveIntentClassification (en)":67.61,"MassiveScenarioClassification (en)":69.75,"MTOPDomainClassification (en)":93.96,"MTOPIntentClassification (en)":72.5,"ToxicConversationsClassification":71.54,"TweetSentimentExtractionClassification":59.4}
 {"index":108,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":68.79,"AmazonCounterfactualClassification (en)":68.3,"AmazonPolarityClassification":90.31,"AmazonReviewsClassification (en)":46.27,"Banking77Classification":80.01,"EmotionClassification":43.67,"ImdbClassification":84.36,"MassiveIntentClassification (en)":66.69,"MassiveScenarioClassification (en)":73.06,"MTOPDomainClassification (en)":91.36,"MTOPIntentClassification (en)":60.64,"ToxicConversationsClassification":66.84,"TweetSentimentExtractionClassification":53.91}
 {"index":210,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":68.55,"AmazonCounterfactualClassification (en)":70.72,"AmazonPolarityClassification":83.34,"AmazonReviewsClassification (en)":40.99,"Banking77Classification":81.25,"EmotionClassification":41.66,"ImdbClassification":74.81,"MassiveIntentClassification (en)":69.8,"MassiveScenarioClassification (en)":74.54,"MTOPDomainClassification (en)":91.22,"MTOPIntentClassification (en)":69.39,"ToxicConversationsClassification":67.44,"TweetSentimentExtractionClassification":57.48}
@@ -129,8 +129,8 @@
 {"index":112,"Rank":129,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":68.04,"AmazonCounterfactualClassification (en)":67.76,"AmazonPolarityClassification":79.75,"AmazonReviewsClassification (en)":37.45,"Banking77Classification":81.17,"EmotionClassification":44.53,"ImdbClassification":76.46,"MassiveIntentClassification (en)":68.58,"MassiveScenarioClassification (en)":73.92,"MTOPDomainClassification (en)":90.67,"MTOPIntentClassification (en)":68.29,"ToxicConversationsClassification":70.23,"TweetSentimentExtractionClassification":57.64}
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 {"index":107,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":68.01,"AmazonCounterfactualClassification (en)":78.48,"AmazonPolarityClassification":78.74,"AmazonReviewsClassification (en)":39.93,"Banking77Classification":80.26,"EmotionClassification":47.26,"ImdbClassification":71.79,"MassiveIntentClassification (en)":66.55,"MassiveScenarioClassification (en)":73.11,"MTOPDomainClassification (en)":93.04,"MTOPIntentClassification (en)":63.52,"ToxicConversationsClassification":66.74,"TweetSentimentExtractionClassification":56.73}
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-{"index":136,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.98,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":77.52,"AmazonReviewsClassification (en)":38.5,"Banking77Classification":83.94,"EmotionClassification":44.64,"ImdbClassification":68.61,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":73.74,"MTOPDomainClassification (en)":89.38,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":69.65,"TweetSentimentExtractionClassification":60.43}
+{"index":136,"Rank":132,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":67.98,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":77.52,"AmazonReviewsClassification (en)":38.5,"Banking77Classification":83.94,"EmotionClassification":44.64,"ImdbClassification":68.61,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":73.74,"MTOPDomainClassification (en)":89.38,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":69.65,"TweetSentimentExtractionClassification":60.43}
+{"index":185,"Rank":133,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":67.98,"AmazonCounterfactualClassification (en)":73.76,"AmazonPolarityClassification":77.52,"AmazonReviewsClassification (en)":38.5,"Banking77Classification":83.94,"EmotionClassification":44.64,"ImdbClassification":68.61,"MassiveIntentClassification (en)":69.11,"MassiveScenarioClassification (en)":73.74,"MTOPDomainClassification (en)":89.38,"MTOPIntentClassification (en)":66.49,"ToxicConversationsClassification":69.65,"TweetSentimentExtractionClassification":60.43}
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boards_data/en/data_tasks/Clustering/default.jsonl

@@ -67,10 +67,10 @@
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@@ -101,12 +101,12 @@
 {"index":106,"Rank":101,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":41.87,"ArxivClusteringP2P":47.24,"ArxivClusteringS2S":37.43,"BiorxivClusteringP2P":36.97,"BiorxivClusteringS2S":31.98,"MedrxivClusteringP2P":31.5,"MedrxivClusteringS2S":28.41,"RedditClustering":47.53,"RedditClusteringP2P":62.76,"StackExchangeClustering":59.55,"StackExchangeClusteringP2P":39.43,"TwentyNewsgroupsClustering":37.73}
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+{"index":107,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":41.51,"ArxivClusteringP2P":45.56,"ArxivClusteringS2S":35.61,"BiorxivClusteringP2P":36.16,"BiorxivClusteringS2S":30.14,"MedrxivClusteringP2P":31.12,"MedrxivClusteringS2S":26.73,"RedditClustering":50.24,"RedditClusteringP2P":61.45,"StackExchangeClustering":62.63,"StackExchangeClusteringP2P":37.17,"TwentyNewsgroupsClustering":39.83}
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 {"index":172,"Rank":112,"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":41.23,"ArxivClusteringP2P":44.31,"ArxivClusteringS2S":38.43,"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}
@@ -142,9 +142,9 @@
 {"index":112,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/bge-micro-v2\">bge-micro-v2<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":39.18,"ArxivClusteringP2P":44.53,"ArxivClusteringS2S":33.25,"BiorxivClusteringP2P":36.11,"BiorxivClusteringS2S":28.06,"MedrxivClusteringP2P":31.56,"MedrxivClusteringS2S":28.13,"RedditClustering":45.46,"RedditClusteringP2P":55.16,"StackExchangeClustering":54.51,"StackExchangeClusteringP2P":34.07,"TwentyNewsgroupsClustering":40.19}
 {"index":59,"Rank":143,"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":39.16,"ArxivClusteringP2P":41.76,"ArxivClusteringS2S":31.63,"BiorxivClusteringP2P":36.01,"BiorxivClusteringS2S":28.77,"MedrxivClusteringP2P":31.27,"MedrxivClusteringS2S":28.97,"RedditClustering":47.39,"RedditClusteringP2P":58.38,"StackExchangeClustering":52.47,"StackExchangeClusteringP2P":33.63,"TwentyNewsgroupsClustering":40.52}
 {"index":177,"Rank":144,"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)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average":39.11,"ArxivClusteringP2P":44.52,"ArxivClusteringS2S":34.45,"BiorxivClusteringP2P":35.25,"BiorxivClusteringS2S":30.71,"MedrxivClusteringP2P":29.43,"MedrxivClusteringS2S":28.87,"RedditClustering":44.52,"RedditClusteringP2P":53.61,"StackExchangeClustering":57.11,"StackExchangeClusteringP2P":31.91,"TwentyNewsgroupsClustering":39.8}
-{"index":185,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
+{"index":61,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
 {"index":136,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
-{"index":61,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
+{"index":185,"Rank":147,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":38.99,"ArxivClusteringP2P":41.43,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.97,"BiorxivClusteringS2S":28.78,"MedrxivClusteringP2P":31.33,"MedrxivClusteringS2S":28.76,"RedditClustering":47.75,"RedditClusteringP2P":54.88,"StackExchangeClustering":55.38,"StackExchangeClusteringP2P":33.08,"TwentyNewsgroupsClustering":40.48}
 {"index":133,"Rank":148,"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":38.93,"ArxivClusteringP2P":44.59,"ArxivClusteringS2S":38.03,"BiorxivClusteringP2P":36.03,"BiorxivClusteringS2S":32.48,"MedrxivClusteringP2P":31.05,"MedrxivClusteringS2S":29.26,"RedditClustering":35.53,"RedditClusteringP2P":54.52,"StackExchangeClustering":55.13,"StackExchangeClusteringP2P":34.31,"TwentyNewsgroupsClustering":37.28}
 {"index":110,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":38.86,"ArxivClusteringP2P":43.5,"ArxivClusteringS2S":32.09,"BiorxivClusteringP2P":34.48,"BiorxivClusteringS2S":26.14,"MedrxivClusteringP2P":30.57,"MedrxivClusteringS2S":26.22,"RedditClustering":48.32,"RedditClusteringP2P":57.84,"StackExchangeClustering":57.49,"StackExchangeClusteringP2P":34.58,"TwentyNewsgroupsClustering":36.28}
 {"index":246,"Rank":150,"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,"Embedding Dimensions":768,"Max Tokens":512,"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}

boards_data/en/data_tasks/PairClassification/default.jsonl

@@ -54,8 +54,8 @@
 {"index":25,"Rank":54,"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":85.84,"SprintDuplicateQuestions":90.94,"TwitterSemEval2015":79.64,"TwitterURLCorpus":86.95}
 {"index":32,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46}
 {"index":17,"Rank":56,"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,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":85.79,"SprintDuplicateQuestions":92.82,"TwitterSemEval2015":77.96,"TwitterURLCorpus":86.59}
-{"index":165,"Rank":57,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
-{"index":153,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
+{"index":153,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
+{"index":165,"Rank":58,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.73,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":75.97,"TwitterURLCorpus":86.63}
 {"index":303,"Rank":59,"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)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":85.72,"SprintDuplicateQuestions":92.25,"TwitterSemEval2015":77.13,"TwitterURLCorpus":87.78}
 {"index":119,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/actualdata\/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":85.61,"SprintDuplicateQuestions":92.57,"TwitterSemEval2015":77.07,"TwitterURLCorpus":87.19}
 {"index":57,"Rank":61,"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":85.61,"SprintDuplicateQuestions":92.57,"TwitterSemEval2015":77.07,"TwitterURLCorpus":87.19}
@@ -110,9 +110,9 @@
 {"index":116,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YanshekWoo\/EminEmbed-multilingual-v1.0\">EminEmbed-multilingual-v1.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.94,"SprintDuplicateQuestions":94.23,"TwitterSemEval2015":70.85,"TwitterURLCorpus":86.73}
 {"index":246,"Rank":111,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.85,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":72.23,"TwitterURLCorpus":84.77}
 {"index":213,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.67,"SprintDuplicateQuestions":95.93,"TwitterSemEval2015":69.68,"TwitterURLCorpus":85.41}
-{"index":61,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
+{"index":185,"Rank":113,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
 {"index":136,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
-{"index":185,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
+{"index":61,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.65,"SprintDuplicateQuestions":94.87,"TwitterSemEval2015":70.25,"TwitterURLCorpus":85.83}
 {"index":287,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeroshot\/gte-large-sparse\">gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.58,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":70.34,"TwitterURLCorpus":85.72}
 {"index":171,"Rank":117,"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":83.57,"SprintDuplicateQuestions":93.02,"TwitterSemEval2015":72.21,"TwitterURLCorpus":85.48}
 {"index":214,"Rank":118,"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,"Embedding Dimensions":128,"Max Tokens":8192,"Average":83.54,"SprintDuplicateQuestions":91.45,"TwitterSemEval2015":73.23,"TwitterURLCorpus":85.93}
@@ -134,14 +134,14 @@
 {"index":64,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/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":82.59,"SprintDuplicateQuestions":92.18,"TwitterSemEval2015":70.75,"TwitterURLCorpus":84.83}
 {"index":219,"Rank":135,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":82.54,"SprintDuplicateQuestions":95.55,"TwitterSemEval2015":66.85,"TwitterURLCorpus":85.21}
 {"index":239,"Rank":136,"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":82.46,"SprintDuplicateQuestions":92.58,"TwitterSemEval2015":70.02,"TwitterURLCorpus":84.77}
-{"index":200,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mgoin\/all-MiniLM-L6-v2-ds\">all-MiniLM-L6-v2-ds<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.37,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":67.86,"TwitterURLCorpus":84.7}
-{"index":240,"Rank":138,"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":82.37,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":67.86,"TwitterURLCorpus":84.7}
+{"index":240,"Rank":137,"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":82.37,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":67.86,"TwitterURLCorpus":84.7}
+{"index":200,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mgoin\/all-MiniLM-L6-v2-ds\">all-MiniLM-L6-v2-ds<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.37,"SprintDuplicateQuestions":94.55,"TwitterSemEval2015":67.86,"TwitterURLCorpus":84.7}
 {"index":217,"Rank":139,"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,"Embedding Dimensions":64,"Max Tokens":8192,"Average":82.26,"SprintDuplicateQuestions":90.06,"TwitterSemEval2015":71.68,"TwitterURLCorpus":85.03}
 {"index":124,"Rank":140,"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":82.14,"SprintDuplicateQuestions":92.92,"TwitterSemEval2015":67.8,"TwitterURLCorpus":85.71}
 {"index":141,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-stellaris-text-embeddings\">cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"Average":82.11,"SprintDuplicateQuestions":93.23,"TwitterSemEval2015":69.6,"TwitterURLCorpus":83.49}
 {"index":109,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-s\">snowflake-arctic-embed-s<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":82.07,"SprintDuplicateQuestions":95.28,"TwitterSemEval2015":65.78,"TwitterURLCorpus":85.15}
-{"index":285,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.02,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":66.17,"TwitterURLCorpus":85.21}
-{"index":107,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.02,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":66.17,"TwitterURLCorpus":85.21}
+{"index":107,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-long\">snowflake-arctic-embed-m-long<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":82.02,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":66.17,"TwitterURLCorpus":85.21}
+{"index":285,"Rank":144,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yixuan-chia\/snowflake-arctic-embed-m-long-Q8_0-GGUF\">snowflake-arctic-embed-m-long-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.02,"SprintDuplicateQuestions":94.67,"TwitterSemEval2015":66.17,"TwitterURLCorpus":85.21}
 {"index":88,"Rank":145,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-msmarco-specb-bitfit\">SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":82.0,"SprintDuplicateQuestions":93.84,"TwitterSemEval2015":66.87,"TwitterURLCorpus":85.29}
 {"index":210,"Rank":146,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-small-en-v1.5-sparse\">bge-small-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.93,"SprintDuplicateQuestions":94.59,"TwitterSemEval2015":67.01,"TwitterURLCorpus":84.2}
 {"index":133,"Rank":147,"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":81.9,"SprintDuplicateQuestions":94.93,"TwitterSemEval2015":65.31,"TwitterURLCorpus":85.46}

boards_data/en/data_tasks/STS/default.jsonl

@@ -1,5 +1,5 @@
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@@ -30,8 +30,8 @@
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 {"index":43,"Rank":35,"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":83.35,"BIOSSES":86.32,"SICK-R":83.13,"STS12":77.34,"STS13":85.04,"STS14":82.91,"STS15":88.13,"STS16":86.24,"STS17 (en-en)":90.14,"STS22 (en)":68.63,"STSBenchmark":85.64}
 {"index":265,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":83.35,"BIOSSES":88.65,"SICK-R":79.81,"STS12":76.81,"STS13":88.11,"STS14":82.66,"STS15":88.93,"STS16":84.25,"STS17 (en-en)":88.47,"STS22 (en)":69.71,"STSBenchmark":86.07}
 {"index":102,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/ember-v1-Q8_0-GGUF\">ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.34,"BIOSSES":85.81,"SICK-R":81.75,"STS12":78.51,"STS13":86.62,"STS14":83.06,"STS15":88.39,"STS16":86.82,"STS17 (en-en)":87.9,"STS22 (en)":66.76,"STSBenchmark":87.77}
@@ -39,9 +39,9 @@
 {"index":44,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":83.26,"BIOSSES":87.34,"SICK-R":80.56,"STS12":73.69,"STS13":85.82,"STS14":82.05,"STS15":88.8,"STS16":86.2,"STS17 (en-en)":91.46,"STS22 (en)":69.21,"STSBenchmark":87.43}
 {"index":34,"Rank":40,"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":83.15,"BIOSSES":85.01,"SICK-R":82.18,"STS12":77.62,"STS13":85.16,"STS14":80.02,"STS15":88.92,"STS16":86.92,"STS17 (en-en)":90.09,"STS22 (en)":66.81,"STSBenchmark":88.79}
 {"index":161,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.15,"BIOSSES":84.39,"SICK-R":81.27,"STS12":76.28,"STS13":88.18,"STS14":81.92,"STS15":89.01,"STS16":85.49,"STS17 (en-en)":90.3,"STS22 (en)":67.74,"STSBenchmark":86.88}
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-{"index":229,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sabafallah\/bge-large-en-v1.5-Q4_K_M-GGUF\">bge-large-en-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":83.11,"BIOSSES":84.65,"SICK-R":81.68,"STS12":79.05,"STS13":86.37,"STS14":82.78,"STS15":88.03,"STS16":86.49,"STS17 (en-en)":87.5,"STS22 (en)":67.05,"STSBenchmark":87.52}
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 {"index":162,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-xl\">instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":83.06,"BIOSSES":84.15,"SICK-R":81.7,"STS12":75.32,"STS13":87.44,"STS14":81.87,"STS15":88.94,"STS16":85.38,"STS17 (en-en)":90.54,"STS22 (en)":68.65,"STSBenchmark":86.56}
 {"index":17,"Rank":46,"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,"Embedding Dimensions":3584,"Max Tokens":131072,"Average":83.04,"BIOSSES":81.37,"SICK-R":79.28,"STS12":79.55,"STS13":88.83,"STS14":83.87,"STS15":88.54,"STS16":86.49,"STS17 (en-en)":88.73,"STS22 (en)":66.88,"STSBenchmark":86.85}
 {"index":129,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-small-Embedding-v0\">GIST-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":83.03,"BIOSSES":86.99,"SICK-R":80.53,"STS12":75.57,"STS13":86.26,"STS14":82.3,"STS15":88.74,"STS16":85.27,"STS17 (en-en)":89.02,"STS22 (en)":68.51,"STSBenchmark":87.08}
@@ -56,9 +56,9 @@
 {"index":16,"Rank":56,"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":82.73,"BIOSSES":82.11,"SICK-R":80.49,"STS12":77.25,"STS13":87.79,"STS14":82.91,"STS15":88.45,"STS16":85.45,"STS17 (en-en)":90.33,"STS22 (en)":66.1,"STSBenchmark":86.38}
 {"index":257,"Rank":57,"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":82.63,"BIOSSES":80.43,"SICK-R":80.47,"STS12":78.85,"STS13":88.94,"STS14":84.86,"STS15":89.32,"STS16":84.67,"STS17 (en-en)":89.46,"STS22 (en)":65.33,"STSBenchmark":84.01}
 {"index":32,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":82.62,"BIOSSES":83.5,"SICK-R":81.27,"STS12":74.37,"STS13":85.2,"STS14":80.98,"STS15":89.23,"STS16":86.32,"STS17 (en-en)":90.34,"STS22 (en)":66.42,"STSBenchmark":88.55}
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-{"index":136,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.61,"BIOSSES":76.91,"SICK-R":80.33,"STS12":80.59,"STS13":86.59,"STS14":82.99,"STS15":88.79,"STS16":84.44,"STS17 (en-en)":89.31,"STS22 (en)":67.97,"STSBenchmark":88.14}
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 {"index":190,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":82.56,"BIOSSES":86.54,"SICK-R":83.23,"STS12":76.13,"STS13":83.19,"STS14":80.6,"STS15":87.16,"STS16":85.16,"STS17 (en-en)":90.88,"STS22 (en)":67.04,"STSBenchmark":85.67}
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@@ -76,9 +76,9 @@
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 {"index":59,"Rank":83,"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":81.93,"BIOSSES":83.99,"SICK-R":74.65,"STS12":79.39,"STS13":85.32,"STS14":83.9,"STS15":88.47,"STS16":84.44,"STS17 (en-en)":85.77,"STS22 (en)":67.24,"STSBenchmark":86.08}
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@@ -102,16 +102,16 @@
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 {"index":301,"Rank":104,"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":80.97,"BIOSSES":86.35,"SICK-R":80.6,"STS12":69.8,"STS13":83.27,"STS14":76.09,"STS15":86.12,"STS16":85.96,"STS17 (en-en)":90.25,"STS22 (en)":68.12,"STSBenchmark":83.17}
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 {"index":31,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-light-v3.0\">Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.92,"BIOSSES":81.72,"SICK-R":79.65,"STS12":72.6,"STS13":82.88,"STS14":79.74,"STS15":86.98,"STS16":84.41,"STS17 (en-en)":89.22,"STS22 (en)":65.42,"STSBenchmark":86.58}
 {"index":169,"Rank":108,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.87,"BIOSSES":84.22,"SICK-R":78.9,"STS12":75.19,"STS13":81.8,"STS14":78.48,"STS15":87.49,"STS16":84.58,"STS17 (en-en)":87.94,"STS22 (en)":63.76,"STSBenchmark":86.36}
 {"index":213,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average":80.84,"BIOSSES":87.19,"SICK-R":74.19,"STS12":73.22,"STS13":84.77,"STS14":79.99,"STS15":87.27,"STS16":82.31,"STS17 (en-en)":89.54,"STS22 (en)":65.93,"STSBenchmark":83.96}
 {"index":253,"Rank":110,"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":80.77,"BIOSSES":76.27,"SICK-R":79.62,"STS12":77.9,"STS13":85.11,"STS14":80.81,"STS15":87.48,"STS16":83.2,"STS17 (en-en)":86.99,"STS22 (en)":63.52,"STSBenchmark":86.82}
 {"index":214,"Rank":111,"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,"Embedding Dimensions":128,"Max Tokens":8192,"Average":80.74,"BIOSSES":80.19,"SICK-R":79.09,"STS12":77.49,"STS13":85.62,"STS14":80.5,"STS15":85.84,"STS16":83.9,"STS17 (en-en)":86.27,"STS22 (en)":64.24,"STSBenchmark":84.28}
 {"index":127,"Rank":112,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-all-MiniLM-L6-v2\">GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.72,"BIOSSES":81.26,"SICK-R":79.09,"STS12":75.04,"STS13":83.26,"STS14":78.62,"STS15":87.03,"STS16":83.01,"STS17 (en-en)":87.36,"STS22 (en)":68.11,"STSBenchmark":84.4}
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 {"index":123,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aimlresearch2023\/jina-embeddings-v2-base-en-Q8_0-GGUF\">jina-embeddings-v2-base-en-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.7,"BIOSSES":81.23,"SICK-R":79.65,"STS12":74.27,"STS13":84.18,"STS14":78.81,"STS15":87.55,"STS16":85.35,"STS17 (en-en)":88.88,"STS22 (en)":62.2,"STSBenchmark":84.84}
 {"index":284,"Rank":116,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.59,"BIOSSES":82.19,"SICK-R":79.25,"STS12":73.71,"STS13":82.32,"STS14":80.07,"STS15":87.21,"STS16":82.33,"STS17 (en-en)":87.58,"STS22 (en)":66.3,"STSBenchmark":84.92}
 {"index":89,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":80.53,"BIOSSES":79.5,"SICK-R":79.59,"STS12":74.29,"STS13":85.35,"STS14":79.21,"STS15":85.52,"STS16":82.54,"STS17 (en-en)":90.44,"STS22 (en)":63.2,"STSBenchmark":85.67}
@@ -125,8 +125,8 @@
 {"index":144,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepfile\/embedder-100p\">embedder-100p<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":80.17,"BIOSSES":75.32,"SICK-R":80.91,"STS12":76.98,"STS13":82.63,"STS14":77.84,"STS15":85.92,"STS16":80.68,"STS17 (en-en)":88.99,"STS22 (en)":68.26,"STSBenchmark":84.2}
 {"index":33,"Rank":126,"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)":"","Embedding Dimensions":384,"Max Tokens":512,"Average":80.09,"BIOSSES":84.01,"SICK-R":77.04,"STS12":73.22,"STS13":79.5,"STS14":76.96,"STS15":86.43,"STS16":84.33,"STS17 (en-en)":88.67,"STS22 (en)":65.31,"STSBenchmark":85.46}
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boards_data/en/data_tasks/Summarization/default.jsonl

@@ -17,8 +17,8 @@
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 {"index":186,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":31.6}
@@ -50,8 +50,8 @@
 {"index":25,"Rank":50,"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,"SummEval":31.2}
 {"index":220,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":31.2}
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+{"index":264,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.17}
+{"index":18,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-base-en-v1.5\">gte-base-en-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":31.17}
 {"index":225,"Rank":55,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.17}
 {"index":170,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small-v2\">e5-small-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":31.16}
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@@ -66,8 +66,8 @@
 {"index":21,"Rank":66,"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)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.07}
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 {"index":238,"Rank":68,"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,"SummEval":31.05}
-{"index":305,"Rank":69,"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,"Embedding Dimensions":30522,"Max Tokens":512,"SummEval":31.03}
-{"index":87,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":31.03}
+{"index":87,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-2.7B-weightedmean-msmarco-specb-bitfit\">SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":31.03}
+{"index":305,"Rank":70,"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,"Embedding Dimensions":30522,"Max Tokens":512,"SummEval":31.03}
 {"index":164,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":31.01}
 {"index":9,"Rank":72,"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,"Embedding Dimensions":1024,"Max Tokens":4000,"SummEval":31.01}
 {"index":191,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/MegatronBert-1B3-embedding\">MegatronBert-1B3-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":31.01}
@@ -75,8 +75,8 @@
 {"index":60,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.98}
 {"index":8,"Rank":76,"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)":"","Embedding Dimensions":1024,"Max Tokens":4000,"SummEval":30.97}
 {"index":166,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.97}
-{"index":180,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.97}
-{"index":73,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.97}
+{"index":73,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Bulbasaur\">Bulbasaur<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.97}
+{"index":180,"Rank":79,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.97}
 {"index":128,"Rank":80,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-large-Embedding-v0\">GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.96}
 {"index":67,"Rank":81,"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,"Embedding Dimensions":4096,"Max Tokens":8192,"SummEval":30.94}
 {"index":19,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-large-en-v1.5\">gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"SummEval":30.91}
@@ -92,21 +92,21 @@
 {"index":22,"Rank":92,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-en-icl\">bge-en-icl<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.77}
 {"index":190,"Rank":93,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.73}
 {"index":213,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-unsupervised\">nomic-embed-text-v1-unsupervised<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.72}
-{"index":77,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Wartortle\">Wartortle<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.71}
+{"index":182,"Rank":95,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.71}
 {"index":100,"Rank":96,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.71}
-{"index":182,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-b-en-v1\">jina-embedding-b-en-v1<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.71}
+{"index":77,"Rank":97,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Wartortle\">Wartortle<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.71}
 {"index":270,"Rank":98,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/twadada\/nmc-nignore15\">nmc-nignore15<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.7}
 {"index":221,"Rank":99,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v2\">NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.7}
 {"index":91,"Rank":100,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-MiniLM-L12-v2-all-nli-triplet\">Arabic-MiniLM-L12-v2-all-nli-triplet<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.69}
 {"index":252,"Rank":101,"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,"SummEval":30.67}
 {"index":249,"Rank":102,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.64}
-{"index":103,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/LLaMA-embeeding\">LLaMA-embeeding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.62}
-{"index":178,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":30.62}
+{"index":178,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-3b\">udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Embedding Dimensions":2560,"Max Tokens":2048,"SummEval":30.62}
+{"index":103,"Rank":104,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/LLaMA-embeeding\">LLaMA-embeeding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.62}
 {"index":130,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/NoInstruct-small-Embedding-v0\">NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.6}
 {"index":20,"Rank":106,"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,"SummEval":30.58}
 {"index":278,"Rank":107,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.57}
-{"index":154,"Rank":108,"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":"","SummEval":30.56}
-{"index":188,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.56}
+{"index":188,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.56}
+{"index":154,"Rank":109,"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":"","SummEval":30.56}
 {"index":82,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test24\">test24<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.52}
 {"index":244,"Rank":111,"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,"Embedding Dimensions":300,"Max Tokens":"N\/A","SummEval":30.49}
 {"index":216,"Rank":112,"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,"Embedding Dimensions":512,"Max Tokens":8192,"SummEval":30.47}
@@ -114,31 +114,31 @@
 {"index":84,"Rank":114,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-1.3B-weightedmean-msmarco-specb-bitfit\">SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"Embedding Dimensions":2048,"Max Tokens":2048,"SummEval":30.43}
 {"index":266,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.42}
 {"index":33,"Rank":116,"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)":"","Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.41}
-{"index":291,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
-{"index":117,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
-{"index":98,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
-{"index":218,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.4}
+{"index":218,"Rank":117,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.4}
+{"index":98,"Rank":118,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/RinaChen\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
+{"index":117,"Rank":119,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/YorkieOH10\/nomic-embed-text-v1.5-Q8_0-GGUF\">nomic-embed-text-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
+{"index":291,"Rank":120,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zyj2003lj\/nomic-embed-text-v1.5-Q4_K_M-GGUF\">nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.4}
 {"index":43,"Rank":121,"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,"SummEval":30.39}
 {"index":89,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-5.8B-weightedmean-nli-bitfit\">SGPT-5.8B-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":30.38}
-{"index":108,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
-{"index":219,"Rank":124,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
+{"index":219,"Rank":123,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
+{"index":108,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m-v1.5\">snowflake-arctic-embed-m-v1.5<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.36}
 {"index":106,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-m\">snowflake-arctic-embed-m<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.31}
 {"index":75,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Squirtle\">Squirtle<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.3}
 {"index":165,"Rank":127,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.28}
 {"index":153,"Rank":128,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":112,"Memory Usage (GB, fp32)":0.42,"Embedding Dimensions":768,"Max Tokens":4096,"SummEval":30.28}
-{"index":86,"Rank":129,"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,"SummEval":30.26}
-{"index":56,"Rank":130,"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,"SummEval":30.26}
+{"index":56,"Rank":129,"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,"SummEval":30.26}
+{"index":86,"Rank":130,"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,"SummEval":30.26}
 {"index":192,"Rank":131,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-0B6-embedding\">XLM-0B6-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.25}
 {"index":171,"Rank":132,"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,"SummEval":30.23}
 {"index":248,"Rank":133,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":30.21}
-{"index":53,"Rank":134,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.19}
-{"index":167,"Rank":135,"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,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.19}
-{"index":70,"Rank":136,"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,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.19}
+{"index":70,"Rank":134,"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,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":30.19}
+{"index":53,"Rank":135,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KeyurRamoliya\/e5-large-v2-GGUF\">e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.19}
+{"index":167,"Rank":136,"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,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.19}
 {"index":32,"Rank":137,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"SummEval":30.18}
 {"index":92,"Rank":138,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Omartificial-Intelligence-Space\/Arabic-all-nli-triplet-Matryoshka\">Arabic-all-nli-triplet-Matryoshka<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"SummEval":30.16}
 {"index":26,"Rank":139,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-en-v1.5\">bge-small-en-v1.5<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.12}
-{"index":260,"Rank":140,"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,"SummEval":30.1}
-{"index":110,"Rank":141,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.1}
+{"index":110,"Rank":140,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Snowflake\/snowflake-arctic-embed-xs\">snowflake-arctic-embed-xs<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":30.1}
+{"index":260,"Rank":141,"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,"SummEval":30.1}
 {"index":271,"Rank":142,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/twadada\/nmc-nignore30\">nmc-nignore30<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":30.1}
 {"index":211,"Rank":143,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":30.08}
 {"index":257,"Rank":144,"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,"SummEval":30.08}
@@ -148,8 +148,8 @@
 {"index":71,"Rank":148,"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,"Embedding Dimensions":2048,"Max Tokens":4096,"SummEval":30.01}
 {"index":64,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.98}
 {"index":69,"Rank":150,"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,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":29.96}
-{"index":303,"Rank":151,"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)":"","Embedding Dimensions":3072,"Max Tokens":8191,"SummEval":29.92}
-{"index":302,"Rank":152,"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)":"","Embedding Dimensions":256,"Max Tokens":8191,"SummEval":29.92}
+{"index":302,"Rank":151,"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)":"","Embedding Dimensions":256,"Max Tokens":8191,"SummEval":29.92}
+{"index":303,"Rank":152,"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)":"","Embedding Dimensions":3072,"Max Tokens":8191,"SummEval":29.92}
 {"index":76,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/Venusaur\">Venusaur<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"SummEval":29.91}
 {"index":256,"Rank":154,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.91}
 {"index":187,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"SummEval":29.87}
@@ -158,12 +158,12 @@
 {"index":183,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-l-en-v1\">jina-embedding-l-en-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":29.85}
 {"index":160,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.85}
 {"index":125,"Rank":160,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/andersonbcdefg\/bge-small-4096\">bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":384,"Max Tokens":4096,"SummEval":29.83}
-{"index":132,"Rank":161,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.82}
-{"index":44,"Rank":162,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":29.82}
+{"index":44,"Rank":161,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-8x7B\">GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"SummEval":29.82}
+{"index":132,"Rank":162,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.82}
 {"index":284,"Rank":163,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yessilver\/new_model\">new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":29.78}
-{"index":189,"Rank":164,"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,"SummEval":29.71}
+{"index":276,"Rank":164,"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)":"","Embedding Dimensions":512,"Max Tokens":512,"SummEval":29.71}
 {"index":85,"Rank":165,"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,"SummEval":29.71}
-{"index":276,"Rank":166,"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)":"","Embedding Dimensions":512,"Max Tokens":512,"SummEval":29.71}
+{"index":189,"Rank":166,"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,"SummEval":29.71}
 {"index":54,"Rank":167,"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":"","SummEval":29.69}
 {"index":246,"Rank":168,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.67}
 {"index":255,"Rank":169,"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,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":29.64}