diff --git "a/boards_data/en/data_tasks/PairClassification/default.jsonl" "b/boards_data/en/data_tasks/PairClassification/default.jsonl"
--- "a/boards_data/en/data_tasks/PairClassification/default.jsonl"
+++ "b/boards_data/en/data_tasks/PairClassification/default.jsonl"
@@ -1,10 +1,10 @@
{"index":6,"Rank":1,"Model":"voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":89.25,"SprintDuplicateQuestions":94.53,"TwitterSemEval2015":86.32,"TwitterURLCorpus":86.9}
-{"index":223,"Rank":2,"Model":"NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.67,"SprintDuplicateQuestions":97.02,"TwitterSemEval2015":81.11,"TwitterURLCorpus":87.87}
+{"index":222,"Rank":2,"Model":"NV-Embed-v2<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.67,"SprintDuplicateQuestions":97.02,"TwitterSemEval2015":81.11,"TwitterURLCorpus":87.87}
{"index":103,"Rank":3,"Model":"SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.54,"SprintDuplicateQuestions":96.31,"TwitterSemEval2015":81.52,"TwitterURLCorpus":87.78}
{"index":170,"Rank":4,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.42,"SprintDuplicateQuestions":95.86,"TwitterSemEval2015":81.62,"TwitterURLCorpus":87.79}
{"index":62,"Rank":5,"Model":"Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.35,"SprintDuplicateQuestions":96.11,"TwitterSemEval2015":81.52,"TwitterURLCorpus":87.42}
-{"index":230,"Rank":6,"Model":"TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":88.27,"SprintDuplicateQuestions":96.52,"TwitterSemEval2015":81.35,"TwitterURLCorpus":86.94}
-{"index":291,"Rank":7,"Model":"Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.19,"SprintDuplicateQuestions":95.25,"TwitterSemEval2015":81.41,"TwitterURLCorpus":87.92}
+{"index":229,"Rank":6,"Model":"TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":88.27,"SprintDuplicateQuestions":96.52,"TwitterSemEval2015":81.35,"TwitterURLCorpus":86.94}
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{"index":22,"Rank":8,"Model":"bge-en-icl<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.14,"SprintDuplicateQuestions":97.23,"TwitterSemEval2015":79.34,"TwitterURLCorpus":87.84}
{"index":102,"Rank":9,"Model":"SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":88.07,"SprintDuplicateQuestions":97.62,"TwitterSemEval2015":78.57,"TwitterURLCorpus":88.03}
{"index":153,"Rank":10,"Model":"stella_en_1.5B_v5<\/a>","Model Size (Million Parameters)":1543,"Memory Usage (GB, fp32)":5.75,"Embedding Dimensions":8192,"Max Tokens":131072,"Average":88.07,"SprintDuplicateQuestions":96.04,"TwitterSemEval2015":80.58,"TwitterURLCorpus":87.58}
@@ -26,13 +26,13 @@
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{"index":57,"Rank":27,"Model":"MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.14,"SprintDuplicateQuestions":96.97,"TwitterSemEval2015":78.29,"TwitterURLCorpus":86.16}
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{"index":9,"Rank":33,"Model":"voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":86.87,"SprintDuplicateQuestions":98.07,"TwitterSemEval2015":74.44,"TwitterURLCorpus":88.11}
{"index":183,"Rank":34,"Model":"sf_model_e5<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":86.85,"SprintDuplicateQuestions":96.79,"TwitterSemEval2015":78.23,"TwitterURLCorpus":85.53}
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+{"index":208,"Rank":35,"Model":"bge-large-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.74,"SprintDuplicateQuestions":96.49,"TwitterSemEval2015":77.8,"TwitterURLCorpus":85.94}
{"index":130,"Rank":36,"Model":"GIST-large-Embedding-v0<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":86.7,"SprintDuplicateQuestions":96.54,"TwitterSemEval2015":77.6,"TwitterURLCorpus":85.96}
{"index":164,"Rank":37,"Model":"instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.62,"SprintDuplicateQuestions":94.94,"TwitterSemEval2015":77.99,"TwitterURLCorpus":86.93}
{"index":8,"Rank":38,"Model":"voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":86.57,"SprintDuplicateQuestions":96.01,"TwitterSemEval2015":76.87,"TwitterURLCorpus":86.84}
@@ -40,13 +40,13 @@
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+{"index":206,"Rank":43,"Model":"bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.24,"SprintDuplicateQuestions":96.38,"TwitterSemEval2015":76.41,"TwitterURLCorpus":85.93}
{"index":175,"Rank":44,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":86.24,"SprintDuplicateQuestions":92.19,"TwitterSemEval2015":79.79,"TwitterURLCorpus":86.73}
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-{"index":258,"Rank":49,"Model":"sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":86.06,"SprintDuplicateQuestions":91.44,"TwitterSemEval2015":80.89,"TwitterURLCorpus":85.86}
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{"index":55,"Rank":50,"Model":"e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
{"index":169,"Rank":51,"Model":"e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
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@@ -58,107 +58,107 @@
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{"index":155,"Rank":59,"Model":"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":167,"Rank":60,"Model":"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}
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{"index":121,"Rank":62,"Model":"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}
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{"index":182,"Rank":65,"Model":"udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":85.4,"SprintDuplicateQuestions":95.62,"TwitterSemEval2015":73.81,"TwitterURLCorpus":86.78}
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-{"index":256,"Rank":70,"Model":"sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":85.18,"SprintDuplicateQuestions":91.23,"TwitterSemEval2015":78.25,"TwitterURLCorpus":86.05}
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{"index":32,"Rank":77,"Model":"Cohere-embed-english-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":85.05,"SprintDuplicateQuestions":96.59,"TwitterSemEval2015":72.23,"TwitterURLCorpus":86.32}
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@@ -166,50 +166,50 @@
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@@ -267,27 +267,27 @@
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