Remove dups; update external cache

EXTERNAL_MODEL_RESULTS.json

@@ -15953,575 +15953,6 @@
             ]
         }
     },
-    "GritLM-7B": {
-        "BitextMining": {
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-                    "Tatoeba (lvs-Latn_eng-Latn)": 53.54,
-                    "Tatoeba (yid-Hebr_eng-Latn)": 17.13,
-                    "Tatoeba (gle-Latn_eng-Latn)": 48.14,
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-                    "Tatoeba (ang-Latn_eng-Latn)": 76.84,
-                    "Tatoeba (jav-Latn_eng-Latn)": 26.6,
-                    "Tatoeba (ina-Latn_eng-Latn)": 91.24,
-                    "Tatoeba (nob-Latn_eng-Latn)": 93.53,
-                    "Tatoeba (swe-Latn_eng-Latn)": 90.43,
-                    "Tatoeba (lfn-Latn_eng-Latn)": 62.23,
-                    "Tatoeba (fin-Latn_eng-Latn)": 85.76,
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-                }
-            ]
-        },
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-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>",
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-                    "AmazonCounterfactualClassification (en)": 71.1,
-                    "AmazonCounterfactualClassification (deu-Latn)": 67.63,
-                    "AmazonCounterfactualClassification (jpn-Jpan)": 73.3,
-                    "AmazonPolarityClassification": 86.69,
-                    "AmazonReviewsClassification (en)": 45.51,
-                    "AmazonReviewsClassification (deu-Latn)": 43.77,
-                    "AmazonReviewsClassification (spa-Latn)": 43.0,
-                    "AmazonReviewsClassification (fra-Latn)": 44.15,
-                    "AmazonReviewsClassification (jpn-Jpan)": 41.49,
-                    "AmazonReviewsClassification (cmn-Hans)": 35.34,
-                    "AngryTweetsClassification (dan-Latn)": 54.68,
-                    "Banking77Classification": 79.36,
-                    "CBD (pol-Latn)": 70.98,
-                    "DanishPoliticalCommentsClassification (dan-Latn)": 37.69,
-                    "EmotionClassification": 48.79,
-                    "IFlyTek (cmn-Hans)": 48.49,
-                    "ImdbClassification": 82.25,
-                    "JDReview (cmn-Hans)": 84.02,
-                    "LccSentimentClassification (dan-Latn)": 57.2,
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-                    "MTOPDomainClassification (deu-Latn)": 88.32,
-                    "MTOPDomainClassification (spa-Latn)": 88.45,
-                    "MTOPDomainClassification (fra-Latn)": 88.44,
-                    "MTOPDomainClassification (hin-Deva)": 86.89,
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-                    "MTOPIntentClassification (spa-Latn)": 67.49,
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-                    "MTOPIntentClassification (hin-Deva)": 59.47,
-                    "MTOPIntentClassification (tha-Thai)": 65.14,
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-                    "MasakhaNEWSClassification (fra-Latn)": 77.39,
-                    "MasakhaNEWSClassification (hau-Latn)": 74.66,
-                    "MasakhaNEWSClassification (ibo-Latn)": 68.64,
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-                    "MassiveIntentClassification (vie-Latn)": 62.05,
-                    "MassiveIntentClassification (heb-Hebr)": 57.71,
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-                    "MassiveIntentClassification (cmo-Hans)": 67.43,
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-                    "MassiveIntentClassification (nld-Latn)": 66.82,
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-                    "MassiveIntentClassification (ita-Latn)": 68.04,
-                    "MassiveIntentClassification (cym-Latn)": 48.59,
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-                    "MassiveIntentClassification (fin-Latn)": 60.55,
-                    "MassiveIntentClassification (tha-Thai)": 58.99,
-                    "MassiveIntentClassification (lav-Latn)": 51.12,
-                    "MassiveIntentClassification (mal-Mlym)": 43.57,
-                    "MassiveIntentClassification (hun-Latn)": 63.48,
-                    "MassiveIntentClassification (ind-Latn)": 65.58,
-                    "MassiveIntentClassification (por-Latn)": 67.76,
-                    "MassiveIntentClassification (tel-Telu)": 44.73,
-                    "MassiveIntentClassification (amh-Ethi)": 34.73,
-                    "MassiveIntentClassification (kan-Knda)": 44.51,
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-                    "MassiveIntentClassification (urd-Arab)": 54.11,
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-                    "MassiveIntentClassification (rus-Cyrl)": 69.41,
-                    "MassiveIntentClassification (tgl-Latn)": 61.83,
-                    "MassiveIntentClassification (ell-Grek)": 60.45,
-                    "MassiveIntentClassification (hye-Armn)": 43.12,
-                    "MassiveIntentClassification (ara-Arab)": 54.46,
-                    "MassiveIntentClassification (fra-Latn)": 67.69,
-                    "MassiveIntentClassification (mon-Cyrl)": 40.84,
-                    "MassiveIntentClassification (msa-Latn)": 62.61,
-                    "MassiveIntentClassification (nob-Latn)": 63.58,
-                    "MassiveIntentClassification (ben-Beng)": 52.6,
-                    "MassiveIntentClassification (cmo-Hant)": 62.06,
-                    "MassiveIntentClassification (ron-Latn)": 62.45,
-                    "MassiveIntentClassification (swe-Latn)": 67.73,
-                    "MassiveIntentClassification (swa-Latn)": 50.1,
-                    "MassiveScenarioClassification (cmo-Hant)": 67.7,
-                    "MassiveScenarioClassification (kat-Geor)": 49.31,
-                    "MassiveScenarioClassification (ind-Latn)": 72.36,
-                    "MassiveScenarioClassification (amh-Ethi)": 42.0,
-                    "MassiveScenarioClassification (ita-Latn)": 71.86,
-                    "MassiveScenarioClassification (tur-Latn)": 68.71,
-                    "MassiveScenarioClassification (tel-Telu)": 50.8,
-                    "MassiveScenarioClassification (ell-Grek)": 67.42,
-                    "MassiveScenarioClassification (deu-Latn)": 73.64,
-                    "MassiveScenarioClassification (sqi-Latn)": 57.5,
-                    "MassiveScenarioClassification (cym-Latn)": 57.36,
-                    "MassiveScenarioClassification (spa-Latn)": 71.12,
-                    "MassiveScenarioClassification (nld-Latn)": 72.47,
-                    "MassiveScenarioClassification (swa-Latn)": 58.93,
-                    "MassiveScenarioClassification (cmo-Hans)": 71.91,
-                    "MassiveScenarioClassification (fin-Latn)": 65.91,
-                    "MassiveScenarioClassification (por-Latn)": 70.99,
-                    "MassiveScenarioClassification (hun-Latn)": 69.68,
-                    "MassiveScenarioClassification (slv-Latn)": 70.25,
-                    "MassiveScenarioClassification (urd-Arab)": 62.48,
-                    "MassiveScenarioClassification (hye-Armn)": 49.32,
-                    "MassiveScenarioClassification (pol-Latn)": 71.86,
-                    "MassiveScenarioClassification (khm-Khmr)": 45.52,
-                    "MassiveScenarioClassification (kan-Knda)": 49.51,
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-                    "MassiveScenarioClassification (heb-Hebr)": 63.3,
-                    "MassiveScenarioClassification (rus-Cyrl)": 73.87,
-                    "MassiveScenarioClassification (mal-Mlym)": 48.53,
-                    "MassiveScenarioClassification (afr-Latn)": 67.34,
-                    "MassiveScenarioClassification (vie-Latn)": 69.19,
-                    "MassiveScenarioClassification (fra-Latn)": 70.79,
-                    "MassiveScenarioClassification (ben-Beng)": 58.75,
-                    "MassiveScenarioClassification (lav-Latn)": 57.3,
-                    "MassiveScenarioClassification (tam-Taml)": 50.9,
-                    "MassiveScenarioClassification (en)": 73.87,
-                    "MassiveScenarioClassification (aze-Latn)": 61.74,
-                    "MassiveScenarioClassification (swe-Latn)": 73.24,
-                    "MassiveScenarioClassification (kor-Kore)": 70.76,
-                    "MassiveScenarioClassification (ron-Latn)": 68.54,
-                    "MassiveScenarioClassification (msa-Latn)": 69.72,
-                    "MassiveScenarioClassification (mya-Mymr)": 44.25,
-                    "MassiveScenarioClassification (fas-Arab)": 70.5,
-                    "MassiveScenarioClassification (tha-Thai)": 64.51,
-                    "MassiveScenarioClassification (jpn-Jpan)": 72.81,
-                    "MassiveScenarioClassification (nob-Latn)": 69.75,
-                    "MassiveScenarioClassification (tgl-Latn)": 69.0,
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-                    "MassiveScenarioClassification (jav-Latn)": 58.24,
-                    "MassiveScenarioClassification (isl-Latn)": 61.61,
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-                    "NoRecClassification (nob-Latn)": 52.05,
-                    "NordicLangClassification (nob-Latn_nno-Latn_dan-Latn_swe-Latn_isl-Latn_fao-Latn)": 63.6,
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-                    "PAC (pol-Latn)": 68.09,
-                    "PolEmo2.0-IN (pol-Latn)": 66.07,
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-                    "ToxicConversationsClassification": 63.9,
-                    "TweetSentimentExtractionClassification": 57.14,
-                    "Waimai (cmn-Hans)": 84.92
-                }
-            ]
-        },
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-                {
-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>",
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-                    "MasakhaNEWSClusteringS2S (lug-Latn)": 47.42,
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-                    "MasakhaNEWSClusteringS2S (tir-Ethi)": 45.32,
-                    "MasakhaNEWSClusteringS2S (xho-Latn)": 28.94,
-                    "MasakhaNEWSClusteringS2S (yor-Latn)": 63.26
-                }
-            ]
-        },
-        "PairClassification": {
-            "ap": [
-                {
-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>",
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-                    "OpusparcusPC (deu-Latn)": 96.65,
-                    "OpusparcusPC (en)": 98.57,
-                    "OpusparcusPC (fin-Latn)": 90.41,
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-                    "OpusparcusPC (rus-Cyrl)": 88.63,
-                    "OpusparcusPC (swe-Latn)": 94.04,
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-                    "PawsXPairClassification (deu-Latn)": 58.5,
-                    "PawsXPairClassification (en)": 63.78,
-                    "PawsXPairClassification (spa-Latn)": 59.15,
-                    "PawsXPairClassification (fra-Latn)": 61.89,
-                    "PawsXPairClassification (jpn-Hira)": 51.46,
-                    "PawsXPairClassification (kor-Hang)": 52.15,
-                    "PawsXPairClassification (cmn-Hans)": 57.66,
-                    "SICK-E-PL (pol-Latn)": 75.98,
-                    "SprintDuplicateQuestions": 93.06,
-                    "TwitterSemEval2015": 71.24,
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-                }
-            ]
-        },
-        "Reranking": {
-            "map": [
-                {
-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>",
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-                    "AskUbuntuDupQuestions": 61.11,
-                    "MMarcoReranking (cmn-Hans)": 21.7,
-                    "MindSmallReranking": 31.53,
-                    "SciDocsRR": 84.78,
-                    "StackOverflowDupQuestions": 50.95,
-                    "SyntecReranking (fra-Latn)": 83.32,
-                    "T2Reranking (cmn-Hans)": 65.63
-                }
-            ]
-        },
-        "Retrieval": {
-            "ndcg_at_10": [
-                {
-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>",
-                    "AILACasedocs": 35.31,
-                    "AILAStatutes": 41.8,
-                    "ARCChallenge": 26.68,
-                    "AlloprofRetrieval (fra-Latn)": 55.42,
-                    "AlphaNLI": 34.0,
-                    "ArguAna": 63.17,
-                    "ArguAna-PL (pol-Latn)": 48.89,
-                    "BSARDRetrieval (fra-Latn)": 26.63,
-                    "BrightRetrieval (pony)": 21.98,
-                    "BrightRetrieval (robotics)": 17.31,
-                    "BrightRetrieval (economics)": 19.0,
-                    "BrightRetrieval (theoremqa_questions)": 23.34,
-                    "BrightRetrieval (leetcode)": 29.85,
-                    "BrightRetrieval (earth_science)": 32.77,
-                    "BrightRetrieval (stackoverflow)": 11.62,
-                    "BrightRetrieval (sustainable_living)": 18.04,
-                    "BrightRetrieval (biology)": 25.04,
-                    "BrightRetrieval (psychology)": 19.92,
-                    "BrightRetrieval (theoremqa_theorems)": 17.41,
-                    "BrightRetrieval (aops)": 8.91,
-                    "CmedqaRetrieval (cmn-Hans)": 35.58,
-                    "CovidRetrieval (cmn-Hans)": 73.47,
-                    "DuRetrieval (cmn-Hans)": 88.18,
-                    "EcomRetrieval (cmn-Hans)": 54.33,
-                    "FiQA-PL (pol-Latn)": 38.04,
-                    "FiQA2018": 59.91,
-                    "GerDaLIRSmall (deu-Latn)": 20.61,
-                    "HellaSwag": 39.45,
-                    "LEMBNarrativeQARetrieval": 41.46,
-                    "LEMBNeedleRetrieval": 33.25,
-                    "LEMBPasskeyRetrieval": 38.25,
-                    "LEMBQMSumRetrieval": 30.32,
-                    "LEMBSummScreenFDRetrieval": 78.49,
-                    "LEMBWikimQARetrieval": 60.8,
-                    "LeCaRDv2 (zho-Hans)": 64.05,
-                    "LegalBenchConsumerContractsQA": 82.1,
-                    "LegalBenchCorporateLobbying": 95.0,
-                    "LegalQuAD (deu-Latn)": 44.18,
-                    "LegalSummarization": 70.64,
-                    "MMarcoRetrieval (cmn-Hans)": 76.54,
-                    "MedicalRetrieval (cmn-Hans)": 55.81,
-                    "MintakaRetrieval (ara-Arab)": 25.88,
-                    "MintakaRetrieval (deu-Latn)": 55.66,
-                    "MintakaRetrieval (spa-Latn)": 53.36,
-                    "MintakaRetrieval (fra-Latn)": 51.68,
-                    "MintakaRetrieval (hin-Deva)": 26.06,
-                    "MintakaRetrieval (ita-Latn)": 54.91,
-                    "MintakaRetrieval (jpn-Hira)": 34.1,
-                    "MintakaRetrieval (por-Latn)": 54.91,
-                    "NFCorpus": 40.86,
-                    "NFCorpus-PL (pol-Latn)": 32.88,
-                    "PIQA": 44.35,
-                    "Quail": 11.69,
-                    "RARbCode": 84.0,
-                    "RARbMath": 82.35,
-                    "SCIDOCS": 24.4,
-                    "SCIDOCS-PL (pol-Latn)": 18.39,
-                    "SIQA": 7.23,
-                    "SciFact": 79.13,
-                    "SciFact-PL (pol-Latn)": 73.22,
-                    "SpartQA": 9.29,
-                    "SyntecRetrieval (fra-Latn)": 89.48,
-                    "T2Retrieval (cmn-Hans)": 82.96,
-                    "TRECCOVID": 74.36,
-                    "TRECCOVID-PL (pol-Latn)": 58.01,
-                    "TempReasonL1": 7.15,
-                    "TempReasonL2Fact": 58.38,
-                    "TempReasonL2Pure": 11.22,
-                    "TempReasonL3Fact": 44.29,
-                    "TempReasonL3Pure": 14.15,
-                    "Touche2020": 27.81,
-                    "VideoRetrieval (cmn-Hans)": 53.85,
-                    "WinoGrande": 53.74,
-                    "XPQARetrieval (ara-Arab_ara-Arab)": 45.21,
-                    "XPQARetrieval (eng-Latn_ara-Arab)": 27.32,
-                    "XPQARetrieval (ara-Arab_eng-Latn)": 39.43,
-                    "XPQARetrieval (deu-Latn_deu-Latn)": 76.58,
-                    "XPQARetrieval (eng-Latn_deu-Latn)": 55.44,
-                    "XPQARetrieval (deu-Latn_eng-Latn)": 72.56,
-                    "XPQARetrieval (spa-Latn_spa-Latn)": 64.55,
-                    "XPQARetrieval (eng-Latn_spa-Latn)": 45.49,
-                    "XPQARetrieval (spa-Latn_eng-Latn)": 61.03,
-                    "XPQARetrieval (fra-Latn_fra-Latn)": 70.85,
-                    "XPQARetrieval (eng-Latn_fra-Latn)": 48.14,
-                    "XPQARetrieval (fra-Latn_eng-Latn)": 66.96,
-                    "XPQARetrieval (hin-Deva_hin-Deva)": 74.75,
-                    "XPQARetrieval (eng-Latn_hin-Deva)": 25.61,
-                    "XPQARetrieval (hin-Deva_eng-Latn)": 63.9,
-                    "XPQARetrieval (ita-Latn_ita-Latn)": 76.53,
-                    "XPQARetrieval (eng-Latn_ita-Latn)": 46.88,
-                    "XPQARetrieval (ita-Latn_eng-Latn)": 71.03,
-                    "XPQARetrieval (jpn-Hira_jpn-Hira)": 72.27,
-                    "XPQARetrieval (eng-Latn_jpn-Hira)": 41.94,
-                    "XPQARetrieval (jpn-Hira_eng-Latn)": 69.42,
-                    "XPQARetrieval (kor-Hang_kor-Hang)": 40.64,
-                    "XPQARetrieval (eng-Latn_kor-Hang)": 32.68,
-                    "XPQARetrieval (kor-Hang_eng-Latn)": 36.0,
-                    "XPQARetrieval (pol-Latn_pol-Latn)": 50.74,
-                    "XPQARetrieval (eng-Latn_pol-Latn)": 33.14,
-                    "XPQARetrieval (pol-Latn_eng-Latn)": 48.06,
-                    "XPQARetrieval (por-Latn_por-Latn)": 49.86,
-                    "XPQARetrieval (eng-Latn_por-Latn)": 33.01,
-                    "XPQARetrieval (por-Latn_eng-Latn)": 48.45,
-                    "XPQARetrieval (tam-Taml_tam-Taml)": 41.78,
-                    "XPQARetrieval (eng-Latn_tam-Taml)": 10.95,
-                    "XPQARetrieval (tam-Taml_eng-Latn)": 21.28,
-                    "XPQARetrieval (cmn-Hans_cmn-Hans)": 65.29,
-                    "XPQARetrieval (eng-Latn_cmn-Hans)": 35.86,
-                    "XPQARetrieval (cmn-Hans_eng-Latn)": 58.12
-                }
-            ]
-        },
-        "STS": {
-            "spearman": [
-                {
-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>",
-                    "AFQMC (cmn-Hans)": 32.65,
-                    "ATEC (cmn-Hans)": 37.34,
-                    "BIOSSES": 85.01,
-                    "BQ (cmn-Hans)": 38.03,
-                    "CDSC-R (pol-Latn)": 92.23,
-                    "LCQMC (cmn-Hans)": 71.38,
-                    "PAWSX (cmn-Hans)": 16.4,
-                    "SICK-R": 81.47,
-                    "SICK-R-PL (pol-Latn)": 72.78,
-                    "SICKFr (fra-Latn)": 76.91,
-                    "STS12": 65.84,
-                    "STS13": 78.37,
-                    "STS14": 77.52,
-                    "STS15": 85.43,
-                    "STS16": 79.94,
-                    "STS17 (ita-Latn_eng-Latn)": 88.42,
-                    "STS17 (fra-Latn_eng-Latn)": 87.9,
-                    "STS17 (kor-Hang)": 78.74,
-                    "STS17 (en-en)": 90.12,
-                    "STS17 (nld-Latn_eng-Latn)": 88.29,
-                    "STS17 (ara-Arab)": 79.28,
-                    "STS17 (eng-Latn_deu-Latn)": 88.92,
-                    "STS17 (spa-Latn)": 87.12,
-                    "STS17 (eng-Latn_tur-Latn)": 77.47,
-                    "STS17 (spa-Latn_eng-Latn)": 87.47,
-                    "STS17 (eng-Latn_ara-Arab)": 74.45,
-                    "STS22 (spa-Latn_eng-Latn)": 80.76,
-                    "STS22 (ara-Arab)": 55.45,
-                    "STS22 (pol-Latn_eng-Latn)": 77.77,
-                    "STS22 (deu-Latn_pol-Latn)": 55.09,
-                    "STS22 (en)": 68.59,
-                    "STS22 (rus-Cyrl)": 68.46,
-                    "STS22 (deu-Latn_eng-Latn)": 62.33,
-                    "STS22 (cmn-Hans)": 72.29,
-                    "STS22 (pol-Latn)": 48.07,
-                    "STS22 (fra-Latn)": 83.09,
-                    "STS22 (cmn-Hans_eng-Latn)": 72.73,
-                    "STS22 (deu-Latn_fra-Latn)": 62.14,
-                    "STS22 (spa-Latn_ita-Latn)": 77.63,
-                    "STS22 (fra-Latn_pol-Latn)": 84.52,
-                    "STS22 (ita-Latn)": 77.58,
-                    "STS22 (spa-Latn)": 72.24,
-                    "STS22 (deu-Latn)": 59.34,
-                    "STS22 (tur-Latn)": 70.83,
-                    "STSB (cmn-Hans)": 74.11,
-                    "STSBenchmark": 83.1,
-                    "STSBenchmarkMultilingualSTS (spa-Latn)": 79.51,
-                    "STSBenchmarkMultilingualSTS (ita-Latn)": 76.24,
-                    "STSBenchmarkMultilingualSTS (por-Latn)": 76.61,
-                    "STSBenchmarkMultilingualSTS (fra-Latn)": 77.48,
-                    "STSBenchmarkMultilingualSTS (deu-Latn)": 77.57,
-                    "STSBenchmarkMultilingualSTS (en)": 83.12,
-                    "STSBenchmarkMultilingualSTS (nld-Latn)": 74.83,
-                    "STSBenchmarkMultilingualSTS (pol-Latn)": 74.67,
-                    "STSBenchmarkMultilingualSTS (cmn-Hans)": 75.27,
-                    "STSBenchmarkMultilingualSTS (rus-Cyrl)": 76.19
-                }
-            ]
-        },
-        "Summarization": {
-            "spearman": [
-                {
-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>",
-                    "SummEval": 30.26,
-                    "SummEvalFr (fra-Latn)": 29.97
-                }
-            ]
-        },
-        "InstructionRetrieval": {
-            "p-MRR": [
-                {
-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>",
-                    "Core17InstructionRetrieval": 2.62,
-                    "News21InstructionRetrieval": -1.01,
-                    "Robust04InstructionRetrieval": -1.68
-                }
-            ]
-        }
-    },
     "voyage-large-2-instruct": {
         "BitextMining": {
             "f1": [
@@ -20893,5 +20324,85 @@
                 }
             ]
         }
+    },
+    "GritLM-7B": {
+        "BitextMining": {
+            "f1": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>"
+                }
+            ]
+        },
+        "Classification": {
+            "accuracy": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>"
+                }
+            ]
+        },
+        "Clustering": {
+            "v_measure": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>"
+                }
+            ]
+        },
+        "PairClassification": {
+            "ap": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>"
+                }
+            ]
+        },
+        "Reranking": {
+            "map": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>"
+                }
+            ]
+        },
+        "Retrieval": {
+            "ndcg_at_10": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>",
+                    "BrightRetrieval (pony)": 21.98,
+                    "BrightRetrieval (robotics)": 17.31,
+                    "BrightRetrieval (economics)": 19.0,
+                    "BrightRetrieval (theoremqa_questions)": 23.34,
+                    "BrightRetrieval (leetcode)": 29.85,
+                    "BrightRetrieval (earth_science)": 32.77,
+                    "BrightRetrieval (stackoverflow)": 11.62,
+                    "BrightRetrieval (sustainable_living)": 18.04,
+                    "BrightRetrieval (biology)": 25.04,
+                    "BrightRetrieval (psychology)": 19.92,
+                    "BrightRetrieval (theoremqa_theorems)": 17.41,
+                    "BrightRetrieval (aops)": 8.91
+                }
+            ]
+        },
+        "STS": {
+            "spearman": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>"
+                }
+            ]
+        },
+        "Summarization": {
+            "spearman": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>"
+                }
+            ]
+        },
+        "InstructionRetrieval": {
+            "p-MRR": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/GritLM/GritLM-7B\">GritLM-7B</a>",
+                    "Core17InstructionRetrieval": 2.62,
+                    "News21InstructionRetrieval": -1.01,
+                    "Robust04InstructionRetrieval": -1.68
+                }
+            ]
+        }
     }
 }

all_data_tasks/1/default.jsonl

@@ -4,13 +4,13 @@
 {"index":127,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Average":56.7,"ArxivClusteringP2P":55.16,"ArxivClusteringS2S":49.82,"BiorxivClusteringP2P":50.68,"BiorxivClusteringS2S":45.81,"MedrxivClusteringP2P":46.32,"MedrxivClusteringS2S":44.29,"RedditClustering":71.19,"RedditClusteringP2P":74.42,"StackExchangeClustering":78.49,"StackExchangeClusteringP2P":48.9,"TwentyNewsgroupsClustering":58.57}
 {"index":93,"Rank":5,"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,"Average":56.17,"ArxivClusteringP2P":54.02,"ArxivClusteringS2S":48.82,"BiorxivClusteringP2P":50.76,"BiorxivClusteringS2S":46.57,"MedrxivClusteringP2P":46.66,"MedrxivClusteringS2S":44.18,"RedditClustering":62.92,"RedditClusteringP2P":72.74,"StackExchangeClustering":76.48,"StackExchangeClusteringP2P":48.29,"TwentyNewsgroupsClustering":66.42}
 {"index":15,"Rank":6,"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,"Average":55.83,"ArxivClusteringP2P":56.4,"ArxivClusteringS2S":51.45,"BiorxivClusteringP2P":49.01,"BiorxivClusteringS2S":45.06,"MedrxivClusteringP2P":44.37,"MedrxivClusteringS2S":42.0,"RedditClustering":73.37,"RedditClusteringP2P":72.51,"StackExchangeClustering":79.07,"StackExchangeClusteringP2P":49.57,"TwentyNewsgroupsClustering":51.31}
-{"index":23,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":54.65,"ArxivClusteringP2P":54.91,"ArxivClusteringS2S":50.28,"BiorxivClusteringP2P":52.64,"BiorxivClusteringS2S":49.2,"MedrxivClusteringP2P":45.81,"MedrxivClusteringS2S":44.11,"RedditClustering":56.03,"RedditClusteringP2P":65.83,"StackExchangeClustering":66.21,"StackExchangeClusteringP2P":45.74,"TwentyNewsgroupsClustering":70.44}
+{"index":23,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":54.65,"ArxivClusteringP2P":54.91,"ArxivClusteringS2S":50.28,"BiorxivClusteringP2P":52.64,"BiorxivClusteringS2S":49.2,"MedrxivClusteringP2P":45.81,"MedrxivClusteringS2S":44.11,"RedditClustering":56.03,"RedditClusteringP2P":65.83,"StackExchangeClustering":66.21,"StackExchangeClusteringP2P":45.74,"TwentyNewsgroupsClustering":70.44}
 {"index":6,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":53.35,"ArxivClusteringP2P":51.81,"ArxivClusteringS2S":44.73,"BiorxivClusteringP2P":46.07,"BiorxivClusteringS2S":40.64,"MedrxivClusteringP2P":42.94,"MedrxivClusteringS2S":41.44,"RedditClustering":68.5,"RedditClusteringP2P":64.86,"StackExchangeClustering":74.16,"StackExchangeClusteringP2P":45.1,"TwentyNewsgroupsClustering":66.62}
 {"index":198,"Rank":9,"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,"Average":52.8,"ArxivClusteringP2P":53.76,"ArxivClusteringS2S":49.59,"BiorxivClusteringP2P":48.15,"BiorxivClusteringS2S":44.74,"MedrxivClusteringP2P":39.24,"MedrxivClusteringS2S":36.98,"RedditClustering":63.2,"RedditClusteringP2P":68.01,"StackExchangeClustering":74.99,"StackExchangeClusteringP2P":42.04,"TwentyNewsgroupsClustering":60.13}
 {"index":9,"Rank":10,"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,"Average":52.42,"ArxivClusteringP2P":51.95,"ArxivClusteringS2S":42.48,"BiorxivClusteringP2P":50.15,"BiorxivClusteringS2S":42.84,"MedrxivClusteringP2P":47.24,"MedrxivClusteringS2S":43.48,"RedditClustering":63.73,"RedditClusteringP2P":64.09,"StackExchangeClustering":70.71,"StackExchangeClusteringP2P":40.34,"TwentyNewsgroupsClustering":59.56}
 {"index":94,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":51.67,"ArxivClusteringP2P":52.08,"ArxivClusteringS2S":47.38,"BiorxivClusteringP2P":43.94,"BiorxivClusteringS2S":41.14,"MedrxivClusteringP2P":40.03,"MedrxivClusteringS2S":39.0,"RedditClustering":59.9,"RedditClusteringP2P":67.64,"StackExchangeClustering":74.25,"StackExchangeClusteringP2P":46.78,"TwentyNewsgroupsClustering":56.27}
 {"index":57,"Rank":12,"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,"Average":51.42,"ArxivClusteringP2P":51.48,"ArxivClusteringS2S":47.3,"BiorxivClusteringP2P":42.73,"BiorxivClusteringS2S":39.58,"MedrxivClusteringP2P":37.84,"MedrxivClusteringS2S":36.65,"RedditClustering":61.52,"RedditClusteringP2P":68.24,"StackExchangeClustering":76.94,"StackExchangeClusteringP2P":46.04,"TwentyNewsgroupsClustering":57.3}
-{"index":42,"Rank":13,"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,"Average":50.61,"ArxivClusteringP2P":51.67,"ArxivClusteringS2S":48.11,"BiorxivClusteringP2P":40.87,"BiorxivClusteringS2S":39.8,"MedrxivClusteringP2P":36.52,"MedrxivClusteringS2S":36.8,"RedditClustering":61.3,"RedditClusteringP2P":67.26,"StackExchangeClustering":77.33,"StackExchangeClusteringP2P":41.33,"TwentyNewsgroupsClustering":55.7}
+{"index":42,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7242,"Memory Usage (GB, fp32)":26.98,"Average":50.61,"ArxivClusteringP2P":51.67,"ArxivClusteringS2S":48.11,"BiorxivClusteringP2P":40.87,"BiorxivClusteringS2S":39.8,"MedrxivClusteringP2P":36.52,"MedrxivClusteringS2S":36.8,"RedditClustering":61.3,"RedditClusteringP2P":67.26,"StackExchangeClustering":77.33,"StackExchangeClusteringP2P":41.33,"TwentyNewsgroupsClustering":55.7}
 {"index":143,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":50.26,"ArxivClusteringP2P":50.45,"ArxivClusteringS2S":45.5,"BiorxivClusteringP2P":43.53,"BiorxivClusteringS2S":40.24,"MedrxivClusteringP2P":38.19,"MedrxivClusteringS2S":37.45,"RedditClustering":57.71,"RedditClusteringP2P":66.49,"StackExchangeClustering":73.1,"StackExchangeClusteringP2P":45.91,"TwentyNewsgroupsClustering":54.31}
 {"index":43,"Rank":15,"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,"Average":50.14,"ArxivClusteringP2P":50.72,"ArxivClusteringS2S":48.01,"BiorxivClusteringP2P":41.41,"BiorxivClusteringS2S":38.67,"MedrxivClusteringP2P":36.54,"MedrxivClusteringS2S":37.24,"RedditClustering":63.01,"RedditClusteringP2P":65.86,"StackExchangeClustering":74.41,"StackExchangeClusteringP2P":38.52,"TwentyNewsgroupsClustering":57.16}
 {"index":266,"Rank":16,"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)":"","Average":49.01,"ArxivClusteringP2P":49.01,"ArxivClusteringS2S":44.45,"BiorxivClusteringP2P":38.03,"BiorxivClusteringS2S":36.53,"MedrxivClusteringP2P":32.7,"MedrxivClusteringS2S":31.27,"RedditClustering":67.84,"RedditClusteringP2P":67.96,"StackExchangeClustering":76.26,"StackExchangeClusteringP2P":36.88,"TwentyNewsgroupsClustering":58.14}
@@ -40,11 +40,11 @@
 {"index":179,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":46.07,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.34,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":36.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.22,"RedditClustering":57.93,"RedditClusteringP2P":62.47,"StackExchangeClustering":66.41,"StackExchangeClusteringP2P":35.32,"TwentyNewsgroupsClustering":51.48}
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-{"index":167,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
-{"index":116,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
-{"index":165,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
-{"index":168,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
-{"index":166,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
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 {"index":172,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":45.58,"ArxivClusteringP2P":48.58,"ArxivClusteringS2S":43.14,"BiorxivClusteringP2P":38.84,"BiorxivClusteringS2S":36.38,"MedrxivClusteringP2P":31.96,"MedrxivClusteringS2S":30.88,"RedditClustering":57.61,"RedditClusteringP2P":64.03,"StackExchangeClustering":65.54,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":50.41}
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 {"index":136,"Rank":50,"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,"Average":45.29,"ArxivClusteringP2P":43.16,"ArxivClusteringS2S":32.56,"BiorxivClusteringP2P":37.62,"BiorxivClusteringS2S":31.33,"MedrxivClusteringP2P":34.22,"MedrxivClusteringS2S":32.0,"RedditClustering":63.65,"RedditClusteringP2P":64.63,"StackExchangeClustering":68.78,"StackExchangeClusteringP2P":36.15,"TwentyNewsgroupsClustering":54.13}
@@ -59,14 +59,14 @@
 {"index":33,"Rank":59,"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)":"","Average":44.64,"ArxivClusteringP2P":46.19,"ArxivClusteringS2S":37.58,"BiorxivClusteringP2P":38.97,"BiorxivClusteringS2S":34.52,"MedrxivClusteringP2P":37.66,"MedrxivClusteringS2S":33.54,"RedditClustering":53.5,"RedditClusteringP2P":63.59,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":36.48,"TwentyNewsgroupsClustering":46.06}
 {"index":142,"Rank":60,"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,"Average":44.49,"ArxivClusteringP2P":45.55,"ArxivClusteringS2S":41.02,"BiorxivClusteringP2P":37.36,"BiorxivClusteringS2S":34.85,"MedrxivClusteringP2P":31.82,"MedrxivClusteringS2S":30.38,"RedditClustering":55.83,"RedditClusteringP2P":63.38,"StackExchangeClustering":65.92,"StackExchangeClusteringP2P":33.67,"TwentyNewsgroupsClustering":49.6}
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-{"index":128,"Rank":68,"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,"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}
-{"index":140,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"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}
+{"index":140,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"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}
+{"index":128,"Rank":69,"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,"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}
 {"index":229,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":43.72,"ArxivClusteringP2P":42.89,"ArxivClusteringS2S":33.47,"BiorxivClusteringP2P":36.53,"BiorxivClusteringS2S":28.66,"MedrxivClusteringP2P":32.09,"MedrxivClusteringS2S":26.82,"RedditClustering":58.99,"RedditClusteringP2P":64.46,"StackExchangeClustering":70.78,"StackExchangeClusteringP2P":35.25,"TwentyNewsgroupsClustering":50.93}
 {"index":194,"Rank":71,"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,"Average":43.71,"ArxivClusteringP2P":45.45,"ArxivClusteringS2S":36.19,"BiorxivClusteringP2P":38.41,"BiorxivClusteringS2S":32.28,"MedrxivClusteringP2P":34.47,"MedrxivClusteringS2S":31.43,"RedditClustering":55.9,"RedditClusteringP2P":60.58,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":33.81,"TwentyNewsgroupsClustering":49.36}
 {"index":190,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.7,"ArxivClusteringP2P":45.85,"ArxivClusteringS2S":36.13,"BiorxivClusteringP2P":38.46,"BiorxivClusteringS2S":33.14,"MedrxivClusteringP2P":32.73,"MedrxivClusteringS2S":30.55,"RedditClustering":56.82,"RedditClusteringP2P":61.57,"StackExchangeClustering":63.18,"StackExchangeClusteringP2P":33.51,"TwentyNewsgroupsClustering":48.72}
@@ -115,8 +115,8 @@
 {"index":226,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":40.21,"ArxivClusteringP2P":39.28,"ArxivClusteringS2S":27.26,"BiorxivClusteringP2P":33.99,"BiorxivClusteringS2S":22.92,"MedrxivClusteringP2P":33.2,"MedrxivClusteringS2S":26.13,"RedditClustering":52.93,"RedditClusteringP2P":59.67,"StackExchangeClustering":63.13,"StackExchangeClusteringP2P":35.68,"TwentyNewsgroupsClustering":48.1}
 {"index":163,"Rank":116,"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,"Average":40.08,"ArxivClusteringP2P":44.02,"ArxivClusteringS2S":35.16,"BiorxivClusteringP2P":35.57,"BiorxivClusteringS2S":29.07,"MedrxivClusteringP2P":31.86,"MedrxivClusteringS2S":27.51,"RedditClustering":49.28,"RedditClusteringP2P":57.09,"StackExchangeClustering":55.35,"StackExchangeClusteringP2P":34.42,"TwentyNewsgroupsClustering":41.57}
 {"index":178,"Rank":117,"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)":"","Average":39.94,"ArxivClusteringP2P":46.19,"ArxivClusteringS2S":36.91,"BiorxivClusteringP2P":38.59,"BiorxivClusteringS2S":32.32,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":29.92,"RedditClustering":45.63,"RedditClusteringP2P":53.37,"StackExchangeClustering":47.28,"StackExchangeClusteringP2P":34.25,"TwentyNewsgroupsClustering":42.38}
-{"index":78,"Rank":118,"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,"Average":39.92,"ArxivClusteringP2P":43.38,"ArxivClusteringS2S":33.71,"BiorxivClusteringP2P":35.06,"BiorxivClusteringS2S":30.71,"MedrxivClusteringP2P":32.08,"MedrxivClusteringS2S":29.45,"RedditClustering":48.23,"RedditClusteringP2P":53.18,"StackExchangeClustering":60.86,"StackExchangeClusteringP2P":32.36,"TwentyNewsgroupsClustering":40.06}
-{"index":145,"Rank":119,"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,"Average":39.92,"ArxivClusteringP2P":42.12,"ArxivClusteringS2S":34.8,"BiorxivClusteringP2P":35.89,"BiorxivClusteringS2S":30.05,"MedrxivClusteringP2P":31.34,"MedrxivClusteringS2S":27.88,"RedditClustering":45.72,"RedditClusteringP2P":59.66,"StackExchangeClustering":58.51,"StackExchangeClusteringP2P":31.98,"TwentyNewsgroupsClustering":41.13}
+{"index":145,"Rank":118,"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,"Average":39.92,"ArxivClusteringP2P":42.12,"ArxivClusteringS2S":34.8,"BiorxivClusteringP2P":35.89,"BiorxivClusteringS2S":30.05,"MedrxivClusteringP2P":31.34,"MedrxivClusteringS2S":27.88,"RedditClustering":45.72,"RedditClusteringP2P":59.66,"StackExchangeClustering":58.51,"StackExchangeClusteringP2P":31.98,"TwentyNewsgroupsClustering":41.13}
+{"index":78,"Rank":119,"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,"Average":39.92,"ArxivClusteringP2P":43.38,"ArxivClusteringS2S":33.71,"BiorxivClusteringP2P":35.06,"BiorxivClusteringS2S":30.71,"MedrxivClusteringP2P":32.08,"MedrxivClusteringS2S":29.45,"RedditClustering":48.23,"RedditClusteringP2P":53.18,"StackExchangeClustering":60.86,"StackExchangeClusteringP2P":32.36,"TwentyNewsgroupsClustering":40.06}
 {"index":81,"Rank":120,"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,"Average":39.83,"ArxivClusteringP2P":44.72,"ArxivClusteringS2S":35.08,"BiorxivClusteringP2P":34.41,"BiorxivClusteringS2S":30.53,"MedrxivClusteringP2P":31.35,"MedrxivClusteringS2S":28.77,"RedditClustering":46.47,"RedditClusteringP2P":54.17,"StackExchangeClustering":59.19,"StackExchangeClusteringP2P":32.57,"TwentyNewsgroupsClustering":40.89}
 {"index":75,"Rank":121,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/gte-micro-v4\">gte-micro-v4<\/a>","Model Size (Million Parameters)":19,"Memory Usage (GB, fp32)":0.07,"Average":39.54,"ArxivClusteringP2P":42.86,"ArxivClusteringS2S":32.48,"BiorxivClusteringP2P":36.83,"BiorxivClusteringS2S":29.24,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":30.8,"RedditClustering":48.28,"RedditClusteringP2P":53.56,"StackExchangeClustering":55.07,"StackExchangeClusteringP2P":31.92,"TwentyNewsgroupsClustering":41.37}
 {"index":144,"Rank":122,"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,"Average":39.51,"ArxivClusteringP2P":44.14,"ArxivClusteringS2S":37.14,"BiorxivClusteringP2P":35.81,"BiorxivClusteringS2S":31.86,"MedrxivClusteringP2P":31.34,"MedrxivClusteringS2S":28.2,"RedditClustering":42.87,"RedditClusteringP2P":56.39,"StackExchangeClustering":59.08,"StackExchangeClusteringP2P":30.3,"TwentyNewsgroupsClustering":37.51}

all_data_tasks/10/default.jsonl

@@ -8,7 +8,7 @@
 {"index":12,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/help.aliyun.com\/zh\/open-search\/vector-search-edition\/hybrid-retrieval\">OpenSearch-text-hybrid<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":88.1,"Cmnli":90.77,"Ocnli":85.44}
 {"index":141,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella-large-zh-v3-1792d\">stella-large-zh-v3-1792d<\/a>","Model Size (Million Parameters)":325,"Memory Usage (GB, fp32)":1.21,"Average":88.1,"Cmnli":90.77,"Ocnli":85.44}
 {"index":142,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella-mrl-large-zh-v3.5-1792d\">stella-mrl-large-zh-v3.5-1792d<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":88.08,"Cmnli":90.66,"Ocnli":85.51}
-{"index":159,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":87.93,"Cmnli":90.42,"Ocnli":85.43}
+{"index":159,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":87.93,"Cmnli":90.42,"Ocnli":85.43}
 {"index":124,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":87.84,"Cmnli":90.49,"Ocnli":85.18}
 {"index":47,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh-small\">Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Average":87.57,"Cmnli":90.29,"Ocnli":84.85}
 {"index":17,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Average":87.48,"Cmnli":90.18,"Ocnli":84.78}
@@ -18,13 +18,13 @@
 {"index":191,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":85.3,"Cmnli":89.95,"Ocnli":80.64}
 {"index":268,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":84.41,"Cmnli":89.5,"Ocnli":79.32}
 {"index":103,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":84.34,"Cmnli":89.36,"Ocnli":79.31}
-{"index":262,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
-{"index":184,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
+{"index":184,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
+{"index":262,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
 {"index":161,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":82.68,"Cmnli":86.85,"Ocnli":78.51}
-{"index":20,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
-{"index":21,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
-{"index":41,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.38,"Cmnli":87.55,"Ocnli":77.21}
-{"index":40,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.38,"Cmnli":87.3,"Ocnli":77.46}
+{"index":21,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
+{"index":20,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
+{"index":40,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.38,"Cmnli":87.3,"Ocnli":77.46}
+{"index":41,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.38,"Cmnli":87.55,"Ocnli":77.21}
 {"index":297,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.32,"Cmnli":85.31,"Ocnli":79.33}
 {"index":27,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":81.6,"Cmnli":85.27,"Ocnli":77.94}
 {"index":48,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":81.46,"Cmnli":85.92,"Ocnli":77.01}

all_data_tasks/11/default.jsonl

@@ -17,27 +17,27 @@
 {"index":16,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Average":68.21,"CMedQAv1":88.16,"CMedQAv2":88.12,"MMarcoReranking":29.14,"T2Reranking":67.43}
 {"index":124,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aspire\/acge_text_embedding\">acge_text_embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":67.98,"CMedQAv1":88.66,"CMedQAv2":88.9,"MMarcoReranking":27.76,"T2Reranking":66.62}
 {"index":209,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neofung\/bge-reranker-large-1k\">bge-reranker-large-1k<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":67.87,"CMedQAv1":82.15,"CMedQAv2":84.19,"MMarcoReranking":37.64,"T2Reranking":67.48}
-{"index":159,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":67.84,"CMedQAv1":88.34,"CMedQAv2":89.06,"MMarcoReranking":27.48,"T2Reranking":66.49}
+{"index":159,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":67.84,"CMedQAv1":88.34,"CMedQAv2":89.06,"MMarcoReranking":27.48,"T2Reranking":66.49}
 {"index":264,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/srikanthmalla\/BAAI-bge-reranker-large\">BAAI-bge-reranker-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":67.78,"CMedQAv1":82.14,"CMedQAv2":84.19,"MMarcoReranking":37.17,"T2Reranking":67.6}
 {"index":103,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":67.61,"CMedQAv1":86.52,"CMedQAv2":87.11,"MMarcoReranking":30.63,"T2Reranking":66.18}
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all_data_tasks/12/default.jsonl

@@ -16,19 +16,19 @@
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 {"index":15,"Rank":32,"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,"Average":70.62,"CmedqaRetrieval":43.47,"CovidRetrieval":80.87,"DuRetrieval":86.01,"EcomRetrieval":66.46,"MedicalRetrieval":61.33,"MMarcoRetrieval":73.83,"T2Retrieval":83.58,"VideoRetrieval":69.41}
 {"index":26,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-noinstruct\">bge-large-zh-noinstruct<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":70.54,"CmedqaRetrieval":41.03,"CovidRetrieval":75.07,"DuRetrieval":84.68,"EcomRetrieval":65.6,"MedicalRetrieval":58.28,"MMarcoRetrieval":81.38,"T2Retrieval":84.39,"VideoRetrieval":73.93}
 {"index":27,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":70.46,"CmedqaRetrieval":42.57,"CovidRetrieval":73.35,"DuRetrieval":86.32,"EcomRetrieval":65.33,"MedicalRetrieval":59.59,"MMarcoRetrieval":79.23,"T2Retrieval":83.99,"VideoRetrieval":73.32}
@@ -39,7 +39,7 @@
 {"index":51,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":69.59,"CmedqaRetrieval":41.8,"CovidRetrieval":79.3,"DuRetrieval":86.43,"EcomRetrieval":62.64,"MedicalRetrieval":58.27,"MMarcoRetrieval":78.17,"T2Retrieval":82.11,"VideoRetrieval":67.96}
 {"index":23,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-zh-v1.5\">bge-base-zh-v1.5<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":69.49,"CmedqaRetrieval":41.61,"CovidRetrieval":74.7,"DuRetrieval":85.07,"EcomRetrieval":64.25,"MedicalRetrieval":56.51,"MMarcoRetrieval":77.69,"T2Retrieval":83.71,"VideoRetrieval":72.35}
 {"index":184,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":69.4,"CmedqaRetrieval":39.15,"CovidRetrieval":81.22,"DuRetrieval":84.57,"EcomRetrieval":63.95,"MedicalRetrieval":57.12,"MMarcoRetrieval":77.96,"T2Retrieval":80.59,"VideoRetrieval":70.62}
-{"index":262,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":69.4,"CmedqaRetrieval":39.15,"CovidRetrieval":81.22,"DuRetrieval":84.57,"EcomRetrieval":63.95,"MedicalRetrieval":57.12,"MMarcoRetrieval":77.96,"T2Retrieval":80.59,"VideoRetrieval":70.62}
+{"index":262,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":69.4,"CmedqaRetrieval":39.15,"CovidRetrieval":81.22,"DuRetrieval":84.57,"EcomRetrieval":63.95,"MedicalRetrieval":57.12,"MMarcoRetrieval":77.96,"T2Retrieval":80.59,"VideoRetrieval":70.62}
 {"index":47,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh-small\">Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Average":67.7,"CmedqaRetrieval":42.69,"CovidRetrieval":75.63,"DuRetrieval":79.89,"EcomRetrieval":64.48,"MedicalRetrieval":59.95,"MMarcoRetrieval":70.75,"T2Retrieval":79.9,"VideoRetrieval":68.3}
 {"index":270,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Average":65.5,"CmedqaRetrieval":42.46,"CovidRetrieval":61.65,"DuRetrieval":78.57,"EcomRetrieval":57.91,"MedicalRetrieval":62.64,"MMarcoRetrieval":75.0,"T2Retrieval":78.12,"VideoRetrieval":67.69}
 {"index":40,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":64.11,"CmedqaRetrieval":34.08,"CovidRetrieval":71.92,"DuRetrieval":79.7,"EcomRetrieval":59.22,"MedicalRetrieval":51.5,"MMarcoRetrieval":74.73,"T2Retrieval":77.08,"VideoRetrieval":64.67}

all_data_tasks/13/default.jsonl

@@ -6,7 +6,7 @@
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 {"index":38,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Classical\/Yinka\">Yinka<\/a>","Model Size (Million Parameters)":164,"Memory Usage (GB, fp32)":0.61,"Average":63.33,"AFQMC":61.02,"ATEC":59.02,"BQ":72.76,"LCQMC":79.43,"PAWSX":45.92,"QBQTC":44.87,"STS22 (zh)":64.41,"STSB":79.24}
 {"index":50,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/IYun-large-zh\">IYun-large-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":63.23,"AFQMC":60.89,"ATEC":58.82,"BQ":72.53,"LCQMC":79.19,"PAWSX":45.8,"QBQTC":43.94,"STS22 (zh)":65.18,"STSB":79.48}
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+{"index":159,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":62.49,"AFQMC":59.22,"ATEC":58.43,"BQ":70.44,"LCQMC":78.27,"PAWSX":43.97,"QBQTC":40.02,"STS22 (zh)":66.49,"STSB":83.05}
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 {"index":141,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella-large-zh-v3-1792d\">stella-large-zh-v3-1792d<\/a>","Model Size (Million Parameters)":325,"Memory Usage (GB, fp32)":1.21,"Average":62.46,"AFQMC":59.11,"ATEC":58.19,"BQ":71.07,"LCQMC":78.27,"PAWSX":45.0,"QBQTC":38.69,"STS22 (zh)":66.53,"STSB":82.8}
 {"index":12,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/help.aliyun.com\/zh\/open-search\/vector-search-edition\/hybrid-retrieval\">OpenSearch-text-hybrid<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":62.46,"AFQMC":59.11,"ATEC":58.19,"BQ":71.07,"LCQMC":78.27,"PAWSX":44.98,"QBQTC":38.69,"STS22 (zh)":66.53,"STSB":82.8}
@@ -17,9 +17,9 @@
 {"index":16,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Average":60.96,"AFQMC":58.42,"ATEC":55.65,"BQ":73.85,"LCQMC":75.39,"PAWSX":42.46,"QBQTC":35.15,"STS22 (zh)":67.4,"STSB":79.4}
 {"index":297,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":60.07,"AFQMC":50.8,"ATEC":53.23,"BQ":66.49,"LCQMC":76.6,"PAWSX":47.56,"QBQTC":39.96,"STS22 (zh)":65.78,"STSB":80.14}
 {"index":184,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":59.39,"AFQMC":50.59,"ATEC":51.29,"BQ":66.07,"LCQMC":75.74,"PAWSX":41.49,"QBQTC":38.11,"STS22 (zh)":69.25,"STSB":82.56}
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+{"index":262,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":59.39,"AFQMC":50.59,"ATEC":51.29,"BQ":66.07,"LCQMC":75.74,"PAWSX":41.49,"QBQTC":38.11,"STS22 (zh)":69.25,"STSB":82.56}
 {"index":161,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":58.66,"AFQMC":49.95,"ATEC":53.12,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.73,"STS22 (zh)":68.87,"STSB":79.37}
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+{"index":21,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Average":58.66,"AFQMC":49.94,"ATEC":53.11,"BQ":65.54,"LCQMC":77.48,"PAWSX":36.22,"QBQTC":38.74,"STS22 (zh)":68.88,"STSB":79.37}
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 {"index":191,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":58.52,"AFQMC":54.85,"ATEC":55.13,"BQ":65.57,"LCQMC":75.55,"PAWSX":37.87,"QBQTC":33.69,"STS22 (zh)":64.32,"STSB":81.19}
 {"index":103,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":58.41,"AFQMC":54.73,"ATEC":55.13,"BQ":64.89,"LCQMC":75.12,"PAWSX":37.93,"QBQTC":34.21,"STS22 (zh)":64.54,"STSB":80.72}

all_data_tasks/14/default.jsonl

@@ -1,24 +1,23 @@
-{"index":9,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","BornholmBitextMining":47.37}
-{"index":13,"Rank":2,"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,"BornholmBitextMining":46.4}
-{"index":14,"Rank":3,"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,"BornholmBitextMining":44.16}
-{"index":15,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"BornholmBitextMining":43.89}
-{"index":12,"Rank":5,"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,"BornholmBitextMining":40.27}
-{"index":11,"Rank":6,"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,"BornholmBitextMining":40.15}
-{"index":10,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"BornholmBitextMining":40.09}
-{"index":1,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Jechto\/e5-dansk-test-0.1\">e5-dansk-test-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"BornholmBitextMining":37.97}
-{"index":20,"Rank":9,"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,"BornholmBitextMining":29.68}
-{"index":8,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chcaa\/dfm-encoder-large-v1\">dfm-sentence-encoder-large-1<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"BornholmBitextMining":15.93}
-{"index":4,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KBLab\/sentence-bert-swedish-cased\">sentence-bert-swedish-cased<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"BornholmBitextMining":14.08}
-{"index":7,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chcaa\/dfm-encoder-large-v1\">dfm-encoder-large-v1<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"BornholmBitextMining":11.65}
-{"index":5,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NbAiLab\/nb-bert-base\">nb-bert-base<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"BornholmBitextMining":9.88}
-{"index":2,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KB\/bert-base-swedish-cased\">bert-base-swedish-cased<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"BornholmBitextMining":6.6}
-{"index":22,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vesteinn\/DanskBERT\">DanskBERT<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"BornholmBitextMining":6.34}
-{"index":17,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ltg\/norbert3-base\">norbert3-base<\/a>","Model Size (Million Parameters)":131,"Memory Usage (GB, fp32)":0.49,"BornholmBitextMining":6.08}
-{"index":6,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NbAiLab\/nb-bert-large\">nb-bert-large<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"BornholmBitextMining":4.53}
-{"index":23,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"BornholmBitextMining":4.42}
-{"index":18,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ltg\/norbert3-large\">norbert3-large<\/a>","Model Size (Million Parameters)":368,"Memory Usage (GB, fp32)":1.37,"BornholmBitextMining":2.9}
-{"index":16,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jonfd\/electra-small-nordic\">electra-small-nordic<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"BornholmBitextMining":1.44}
-{"index":3,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KBLab\/electra-small-swedish-cased-discriminator\">electra-small-swedish-cased-discriminator<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"BornholmBitextMining":0.85}
-{"index":0,"Rank":22,"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,"BornholmBitextMining":""}
-{"index":19,"Rank":23,"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,"BornholmBitextMining":""}
-{"index":21,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"BornholmBitextMining":""}
+{"index":8,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","BornholmBitextMining":47.37}
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all_data_tasks/15/default.jsonl

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all_data_tasks/16/default.jsonl

@@ -1,74 +1,74 @@
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 {"index":17,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":46.09,"AmazonReviewsClassification (fr)":29.35,"MasakhaNEWSClassification (fra)":63.89,"MassiveIntentClassification (fr)":37.28,"MassiveScenarioClassification (fr)":44.47,"MTOPDomainClassification (fr)":63.7,"MTOPIntentClassification (fr)":37.85}
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all_data_tasks/17/default.jsonl

@@ -1,57 +1,57 @@
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 {"index":1,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":41.88,"AlloProfClusteringP2P":57.96,"AlloProfClusteringS2S":41.65,"HALClusteringS2S":24.84,"MLSUMClusteringP2P (fr)":45.08,"MLSUMClusteringS2S (fr)":38.77,"MasakhaNEWSClusteringP2P (fra)":48.54,"MasakhaNEWSClusteringS2S (fra)":36.33}
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 {"index":18,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":33.96,"AlloProfClusteringP2P":53.49,"AlloProfClusteringS2S":43.1,"HALClusteringS2S":19.78,"MLSUMClusteringP2P (fr)":40.73,"MLSUMClusteringS2S (fr)":31.94,"MasakhaNEWSClusteringP2P (fra)":24.23,"MasakhaNEWSClusteringS2S (fra)":24.46}
 {"index":16,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":33.94,"AlloProfClusteringP2P":53.22,"AlloProfClusteringS2S":42.92,"HALClusteringS2S":19.94,"MLSUMClusteringP2P (fr)":40.96,"MLSUMClusteringS2S (fr)":31.87,"MasakhaNEWSClusteringP2P (fra)":24.23,"MasakhaNEWSClusteringS2S (fra)":24.46}
-{"index":40,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Average":33.82,"AlloProfClusteringP2P":51.5,"AlloProfClusteringS2S":43.06,"HALClusteringS2S":20.81,"MLSUMClusteringP2P (fr)":40.9,"MLSUMClusteringS2S (fr)":31.8,"MasakhaNEWSClusteringP2P (fra)":24.23,"MasakhaNEWSClusteringS2S (fra)":24.46}
-{"index":55,"Rank":48,"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,"Average":33.75,"AlloProfClusteringP2P":46.03,"AlloProfClusteringS2S":31.83,"HALClusteringS2S":19.58,"MLSUMClusteringP2P (fr)":34.35,"MLSUMClusteringS2S (fr)":29.3,"MasakhaNEWSClusteringP2P (fra)":42.72,"MasakhaNEWSClusteringS2S (fra)":32.47}
-{"index":72,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/spaces\/mteb\/leaderboard\">text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":33.66,"AlloProfClusteringP2P":49.11,"AlloProfClusteringS2S":32.72,"HALClusteringS2S":16.19,"MLSUMClusteringP2P (fr)":36.19,"MLSUMClusteringS2S (fr)":30.39,"MasakhaNEWSClusteringP2P (fra)":38.51,"MasakhaNEWSClusteringS2S (fra)":32.51}
-{"index":63,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":32.84,"AlloProfClusteringP2P":49.13,"AlloProfClusteringS2S":26.16,"HALClusteringS2S":12.49,"MLSUMClusteringP2P (fr)":35.15,"MLSUMClusteringS2S (fr)":25.95,"MasakhaNEWSClusteringP2P (fra)":53.73,"MasakhaNEWSClusteringS2S (fra)":27.27}
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 {"index":5,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Average":29.92,"AlloProfClusteringP2P":48.45,"AlloProfClusteringS2S":25.81,"HALClusteringS2S":11.52,"MLSUMClusteringP2P (fr)":34.53,"MLSUMClusteringS2S (fr)":27.35,"MasakhaNEWSClusteringP2P (fra)":32.04,"MasakhaNEWSClusteringS2S (fra)":29.77}
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all_data_tasks/18/default.jsonl

@@ -3,56 +3,56 @@
 {"index":10,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":85.07,"OpusparcusPC (fr)":100.0,"PawsXPairClassification (fr)":70.14}
 {"index":5,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Average":81.65,"OpusparcusPC (fr)":93.77,"PawsXPairClassification (fr)":69.53}
 {"index":7,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AdrienB134\/llm2vec-occiglot-mntp\">llm2vec-occiglot-mntp<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":80.54,"OpusparcusPC (fr)":100.0,"PawsXPairClassification (fr)":61.07}
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 {"index":4,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":78.66,"OpusparcusPC (fr)":93.68,"PawsXPairClassification (fr)":63.64}
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 {"index":15,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":77.67,"OpusparcusPC (fr)":94.08,"PawsXPairClassification (fr)":61.26}
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 {"index":0,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":77.32,"OpusparcusPC (fr)":92.61,"PawsXPairClassification (fr)":62.02}
 {"index":3,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":77.3,"OpusparcusPC (fr)":93.06,"PawsXPairClassification (fr)":61.54}
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 {"index":2,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-code-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":76.85,"OpusparcusPC (fr)":92.87,"PawsXPairClassification (fr)":60.83}
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 {"index":1,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":74.36,"OpusparcusPC (fr)":89.76,"PawsXPairClassification (fr)":58.96}
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 {"index":14,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":74.12,"OpusparcusPC (fr)":90.92,"PawsXPairClassification (fr)":57.32}
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all_data_tasks/19/default.jsonl

@@ -3,53 +3,53 @@
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all_data_tasks/2/default.jsonl

@@ -18,100 +18,100 @@
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all_data_tasks/20/default.jsonl

@@ -3,55 +3,55 @@
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all_data_tasks/21/default.jsonl

@@ -1,71 +1,71 @@
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 {"index":5,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Average":64.46,"STS22 (fr)":58.61,"STSBenchmarkMultilingualSTS (fr)":69.82,"SICKFr":64.95}
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 {"index":7,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/AdrienB134\/llm2vec-occiglot-mntp\">llm2vec-occiglot-mntp<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":59.33,"STS22 (fr)":67.83,"STSBenchmarkMultilingualSTS (fr)":51.98,"SICKFr":58.18}
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 {"index":17,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":50.47,"STS22 (fr)":40.4,"STSBenchmarkMultilingualSTS (fr)":52.25,"SICKFr":58.77}
 {"index":16,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":50.44,"STS22 (fr)":40.31,"STSBenchmarkMultilingualSTS (fr)":52.25,"SICKFr":58.76}
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 {"index":18,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":49.93,"STS22 (fr)":38.77,"STSBenchmarkMultilingualSTS (fr)":52.25,"SICKFr":58.76}
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all_data_tasks/22/default.jsonl

@@ -1,56 +1,56 @@
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all_data_tasks/23/default.jsonl

@@ -1,47 +1,46 @@
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+{"index":6,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KBLab\/electra-small-swedish-cased-discriminator\">electra-small-swedish-cased-discriminator<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Average":34.34,"MassiveIntentClassification (nb)":5.66,"MassiveScenarioClassification (nb)":11.26,"NoRecClassification":39.72,"NordicLangClassification":44.53,"NorwegianParliament":52.44,"ScalaNbClassification":52.41}
 {"index":0,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Average":"","MassiveIntentClassification (nb)":37.74,"MassiveScenarioClassification (nb)":43.9,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
 {"index":1,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-base\">winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","MassiveIntentClassification (nb)":36.89,"MassiveScenarioClassification (nb)":44.27,"NoRecClassification":43.53,"NordicLangClassification":"","NorwegianParliament":54.9,"ScalaNbClassification":""}
 {"index":2,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","MassiveIntentClassification (nb)":28.65,"MassiveScenarioClassification (nb)":35.24,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
 {"index":3,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","MassiveIntentClassification (nb)":31.07,"MassiveScenarioClassification (nb)":38.02,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
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-{"index":43,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":"","MassiveIntentClassification (nb)":31.49,"MassiveScenarioClassification (nb)":38.05,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
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+{"index":36,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Average":"","MassiveIntentClassification (nb)":46.01,"MassiveScenarioClassification (nb)":54.98,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":37,"Rank":40,"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,"Average":"","MassiveIntentClassification (nb)":43.78,"MassiveScenarioClassification (nb)":52.71,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":38,"Rank":41,"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,"Average":"","MassiveIntentClassification (nb)":45.87,"MassiveScenarioClassification (nb)":54.44,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":39,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":"","MassiveIntentClassification (nb)":38.53,"MassiveScenarioClassification (nb)":46.6,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":40,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":"","MassiveIntentClassification (nb)":41.29,"MassiveScenarioClassification (nb)":49.92,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":41,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Average":"","MassiveIntentClassification (nb)":45.91,"MassiveScenarioClassification (nb)":53.43,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":42,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":"","MassiveIntentClassification (nb)":31.49,"MassiveScenarioClassification (nb)":38.05,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":43,"Rank":46,"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,"Average":"","MassiveIntentClassification (nb)":54.64,"MassiveScenarioClassification (nb)":60.26,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}

all_data_tasks/25/default.jsonl

@@ -1,11 +1,10 @@
 {"index":1,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":65.39,"AILACasedocs":44.56,"AILAStatutes":45.51,"GerDaLIRSmall":44.91,"LeCaRDv2":72.75,"LegalBenchConsumerContractsQA":83.27,"LegalBenchCorporateLobbying":95.66,"LegalQuAD":67.47,"LegalSummarization":68.96}
-{"index":5,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":59.77,"AILACasedocs":38.76,"AILAStatutes":38.07,"GerDaLIRSmall":37.18,"LeCaRDv2":68.56,"LegalBenchConsumerContractsQA":75.46,"LegalBenchCorporateLobbying":94.01,"LegalQuAD":59.64,"LegalSummarization":66.51}
-{"index":10,"Rank":3,"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)":"","Average":59.22,"AILACasedocs":39.0,"AILAStatutes":41.31,"GerDaLIRSmall":32.77,"LeCaRDv2":57.2,"LegalBenchConsumerContractsQA":79.39,"LegalBenchCorporateLobbying":95.09,"LegalQuAD":57.47,"LegalSummarization":71.55}
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+{"index":9,"Rank":3,"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)":"","Average":59.22,"AILACasedocs":39.0,"AILAStatutes":41.31,"GerDaLIRSmall":32.77,"LeCaRDv2":57.2,"LegalBenchConsumerContractsQA":79.39,"LegalBenchCorporateLobbying":95.09,"LegalQuAD":57.47,"LegalSummarization":71.55}
 {"index":0,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":56.43,"AILACasedocs":38.2,"AILAStatutes":44.81,"GerDaLIRSmall":17.85,"LeCaRDv2":61.12,"LegalBenchConsumerContractsQA":80.8,"LegalBenchCorporateLobbying":94.11,"LegalQuAD":47.17,"LegalSummarization":67.39}
 {"index":3,"Rank":5,"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)":"","Average":43.04,"AILACasedocs":31.54,"AILAStatutes":27.15,"GerDaLIRSmall":6.05,"LeCaRDv2":21.02,"LegalBenchConsumerContractsQA":77.12,"LegalBenchCorporateLobbying":93.68,"LegalQuAD":26.08,"LegalSummarization":61.7}
 {"index":2,"Rank":6,"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)":1340,"Memory Usage (GB, fp32)":4.99,"Average":39.22,"AILACasedocs":25.15,"AILAStatutes":20.74,"GerDaLIRSmall":3.96,"LeCaRDv2":22.68,"LegalBenchConsumerContractsQA":73.52,"LegalBenchCorporateLobbying":91.51,"LegalQuAD":16.22,"LegalSummarization":59.99}
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-{"index":6,"Rank":8,"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,"Average":"","AILACasedocs":16.8,"AILAStatutes":20.71,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":60.21,"LegalBenchCorporateLobbying":88.69,"LegalQuAD":"","LegalSummarization":57.43}
-{"index":7,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":"","AILACasedocs":19.72,"AILAStatutes":20.52,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":65.6,"LegalBenchCorporateLobbying":86.41,"LegalQuAD":"","LegalSummarization":59.0}
-{"index":8,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":"","AILACasedocs":22.51,"AILAStatutes":21.27,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":75.25,"LegalBenchCorporateLobbying":89.04,"LegalQuAD":"","LegalSummarization":58.55}
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+{"index":8,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":"","AILACasedocs":"","AILAStatutes":"","GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":"","LegalBenchCorporateLobbying":"","LegalQuAD":"","LegalSummarization":""}

all_data_tasks/26/default.jsonl

@@ -1,13 +1,12 @@
 {"index":1,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":79.17,"LEMBNarrativeQARetrieval":64.69,"LEMBNeedleRetrieval":75.25,"LEMBPasskeyRetrieval":97.0,"LEMBQMSumRetrieval":51.49,"LEMBSummScreenFDRetrieval":99.11,"LEMBWikimQARetrieval":87.49}
 {"index":0,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":78.85,"LEMBNarrativeQARetrieval":55.78,"LEMBNeedleRetrieval":80.5,"LEMBPasskeyRetrieval":93.75,"LEMBQMSumRetrieval":57.26,"LEMBSummScreenFDRetrieval":98.72,"LEMBWikimQARetrieval":87.08}
-{"index":6,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":64.4,"LEMBNarrativeQARetrieval":44.62,"LEMBNeedleRetrieval":48.25,"LEMBPasskeyRetrieval":71.0,"LEMBQMSumRetrieval":43.63,"LEMBSummScreenFDRetrieval":96.82,"LEMBWikimQARetrieval":82.11}
-{"index":7,"Rank":4,"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)":275,"Memory Usage (GB, fp32)":1.02,"Average":58.12,"LEMBNarrativeQARetrieval":37.89,"LEMBNeedleRetrieval":54.25,"LEMBPasskeyRetrieval":50.25,"LEMBQMSumRetrieval":38.87,"LEMBSummScreenFDRetrieval":93.48,"LEMBWikimQARetrieval":73.99}
+{"index":5,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":64.4,"LEMBNarrativeQARetrieval":44.62,"LEMBNeedleRetrieval":48.25,"LEMBPasskeyRetrieval":71.0,"LEMBQMSumRetrieval":43.63,"LEMBSummScreenFDRetrieval":96.82,"LEMBWikimQARetrieval":82.11}
+{"index":6,"Rank":4,"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)":275,"Memory Usage (GB, fp32)":1.02,"Average":58.12,"LEMBNarrativeQARetrieval":37.89,"LEMBNeedleRetrieval":54.25,"LEMBPasskeyRetrieval":50.25,"LEMBQMSumRetrieval":38.87,"LEMBSummScreenFDRetrieval":93.48,"LEMBWikimQARetrieval":73.99}
 {"index":2,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":2270,"Memory Usage (GB, fp32)":8.46,"Average":56.56,"LEMBNarrativeQARetrieval":45.76,"LEMBNeedleRetrieval":40.25,"LEMBPasskeyRetrieval":46.0,"LEMBQMSumRetrieval":35.54,"LEMBSummScreenFDRetrieval":94.09,"LEMBWikimQARetrieval":77.73}
-{"index":4,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":56.52,"LEMBNarrativeQARetrieval":30.35,"LEMBNeedleRetrieval":41.5,"LEMBPasskeyRetrieval":67.25,"LEMBQMSumRetrieval":35.6,"LEMBSummScreenFDRetrieval":95.23,"LEMBWikimQARetrieval":69.19}
-{"index":8,"Rank":7,"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)":547,"Memory Usage (GB, fp32)":2.04,"Average":54.81,"LEMBNarrativeQARetrieval":41.23,"LEMBNeedleRetrieval":39.5,"LEMBPasskeyRetrieval":44.75,"LEMBQMSumRetrieval":36.65,"LEMBSummScreenFDRetrieval":92.97,"LEMBWikimQARetrieval":73.75}
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all_data_tasks/28/default.jsonl

@@ -1,50 +1,50 @@
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 {"index":4,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-base\">winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":37.66,"AllegroReviews":24.89,"CBD":53.78,"MassiveIntentClassification (pl)":31.77,"MassiveScenarioClassification (pl)":37.49,"PAC":57.14,"PolEmo2.0-IN":40.97,"PolEmo2.0-OUT":17.57}
 {"index":0,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":44.99,"MassiveScenarioClassification (pl)":52.92,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
 {"index":5,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":27.62,"MassiveScenarioClassification (pl)":31.6,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
 {"index":6,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":33.17,"MassiveScenarioClassification (pl)":36.34,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
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+{"index":20,"Rank":38,"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,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":50.48,"MassiveScenarioClassification (pl)":49.98,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":22,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":74.85,"MassiveScenarioClassification (pl)":77.37,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":25,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":73.65,"MassiveScenarioClassification (pl)":76.69,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":29,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":1065,"Memory Usage (GB, fp32)":3.97,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":44.47,"MassiveScenarioClassification (pl)":45.6,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":30,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":559,"Memory Usage (GB, fp32)":2.08,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":41.63,"MassiveScenarioClassification (pl)":41.63,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":39,"Rank":43,"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,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":37.63,"MassiveScenarioClassification (pl)":44.72,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":42,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/allenai-specter\">allenai-specter<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":35.77,"MassiveScenarioClassification (pl)":36.87,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":45,"Rank":48,"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,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":39.08,"MassiveScenarioClassification (pl)":46.79,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":46,"Rank":49,"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,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":42.64,"MassiveScenarioClassification (pl)":49.97,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":49,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":34.41,"MassiveScenarioClassification (pl)":42.3,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":50,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":37.67,"MassiveScenarioClassification (pl)":45.2,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":51,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":43.95,"MassiveScenarioClassification (pl)":49.87,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":52,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":26.05,"MassiveScenarioClassification (pl)":30.15,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
+{"index":53,"Rank":54,"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,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":58.91,"MassiveScenarioClassification (pl)":62.55,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}

all_data_tasks/29/default.jsonl

@@ -1,22 +1,22 @@
 {"index":2,"Rank":1,"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,"8TagsClustering":51.36}
 {"index":3,"Rank":2,"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,"8TagsClustering":50.29}
 {"index":1,"Rank":3,"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,"8TagsClustering":44.59}
-{"index":25,"Rank":4,"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,"8TagsClustering":33.88}
-{"index":38,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/st-polish-paraphrase-from-mpnet\">st-polish-paraphrase-from-mpnet<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":33.15}
-{"index":35,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-roberta-base\">mmlw-roberta-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"8TagsClustering":33.08}
-{"index":19,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/OrlikB\/st-polish-kartonberta-base-alpha-v1\">st-polish-kartonberta-base-alpha-v1<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"8TagsClustering":32.85}
-{"index":34,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-small\">mmlw-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"8TagsClustering":31.77}
-{"index":37,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/st-polish-paraphrase-from-distilroberta\">st-polish-paraphrase-from-distilroberta<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":31.68}
-{"index":29,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ipipan\/silver-retriever-base-v1\">silver-retriever-base-v1<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":31.49}
-{"index":36,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-roberta-large\">mmlw-roberta-large<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"8TagsClustering":31.16}
-{"index":33,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-large\">mmlw-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"8TagsClustering":30.62}
-{"index":32,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-base\">mmlw-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"8TagsClustering":30.25}
-{"index":28,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ipipan\/herbert-base-retrieval-v2\">herbert-base-retrieval-v2<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":28.15}
-{"index":49,"Rank":15,"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,"8TagsClustering":25.62}
-{"index":24,"Rank":16,"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,"8TagsClustering":24.97}
-{"index":27,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"8TagsClustering":23.92}
-{"index":48,"Rank":18,"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,"8TagsClustering":23.24}
-{"index":22,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","8TagsClustering":18.79}
-{"index":39,"Rank":20,"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,"8TagsClustering":12.96}
-{"index":45,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"8TagsClustering":12.51}
+{"index":24,"Rank":4,"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,"8TagsClustering":33.88}
+{"index":37,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/st-polish-paraphrase-from-mpnet\">st-polish-paraphrase-from-mpnet<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":33.15}
+{"index":34,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-roberta-base\">mmlw-roberta-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"8TagsClustering":33.08}
+{"index":18,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/OrlikB\/st-polish-kartonberta-base-alpha-v1\">st-polish-kartonberta-base-alpha-v1<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"8TagsClustering":32.85}
+{"index":33,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-small\">mmlw-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"8TagsClustering":31.77}
+{"index":36,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/st-polish-paraphrase-from-distilroberta\">st-polish-paraphrase-from-distilroberta<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":31.68}
+{"index":28,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ipipan\/silver-retriever-base-v1\">silver-retriever-base-v1<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":31.49}
+{"index":35,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-roberta-large\">mmlw-roberta-large<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"8TagsClustering":31.16}
+{"index":32,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-large\">mmlw-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"8TagsClustering":30.62}
+{"index":31,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-base\">mmlw-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"8TagsClustering":30.25}
+{"index":27,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ipipan\/herbert-base-retrieval-v2\">herbert-base-retrieval-v2<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":28.15}
+{"index":48,"Rank":15,"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,"8TagsClustering":25.62}
+{"index":23,"Rank":16,"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,"8TagsClustering":24.97}
+{"index":26,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"8TagsClustering":23.92}
+{"index":47,"Rank":18,"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,"8TagsClustering":23.24}
+{"index":21,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","8TagsClustering":18.79}
+{"index":38,"Rank":20,"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,"8TagsClustering":12.96}
+{"index":44,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"8TagsClustering":12.51}
 {"index":4,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-base\">winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","8TagsClustering":4.68}

all_data_tasks/3/default.jsonl

@@ -2,68 +2,68 @@
 {"index":126,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_1.5B_v5\">stella_en_1.5B_v5<\/a>","Model Size (Million Parameters)":1543,"Memory Usage (GB, fp32)":5.75,"Average":61.21,"AskUbuntuDupQuestions":67.33,"MindSmallReranking":33.05,"SciDocsRR":89.2,"StackOverflowDupQuestions":55.25}
 {"index":94,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":60.64,"AskUbuntuDupQuestions":67.58,"MindSmallReranking":32.72,"SciDocsRR":86.58,"StackOverflowDupQuestions":55.68}
 {"index":198,"Rank":4,"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,"Average":60.54,"AskUbuntuDupQuestions":67.5,"MindSmallReranking":30.82,"SciDocsRR":87.26,"StackOverflowDupQuestions":56.58}
-{"index":202,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":60.46,"AskUbuntuDupQuestions":66.73,"MindSmallReranking":32.51,"SciDocsRR":87.03,"StackOverflowDupQuestions":55.55}
-{"index":57,"Rank":6,"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,"Average":60.29,"AskUbuntuDupQuestions":66.82,"MindSmallReranking":32.06,"SciDocsRR":86.4,"StackOverflowDupQuestions":55.89}
-{"index":143,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":60.21,"AskUbuntuDupQuestions":66.98,"MindSmallReranking":32.6,"SciDocsRR":86.33,"StackOverflowDupQuestions":54.91}
-{"index":127,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Average":60.16,"AskUbuntuDupQuestions":66.15,"MindSmallReranking":33.05,"SciDocsRR":88.44,"StackOverflowDupQuestions":52.99}
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@@ -84,11 +84,11 @@
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 {"index":139,"Rank":86,"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,"Average":55.7,"AskUbuntuDupQuestions":59.66,"MindSmallReranking":30.07,"SciDocsRR":82.9,"StackOverflowDupQuestions":50.15}
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all_data_tasks/30/default.jsonl

@@ -1,28 +1,28 @@
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 {"index":1,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Average":84.87,"CDSC-E":72.42,"PPC":91.47,"PSC":99.28,"SICK-E-PL":76.32}
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all_data_tasks/31/default.jsonl

@@ -1,21 +1,21 @@
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 {"index":2,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Average":54.69,"ArguAna-PL":59.87,"DBPedia-PL":41.3,"FiQA-PL":41.05,"HotpotQA-PL":67.61,"MSMARCO-PL":62.22,"NFCorpus-PL":30.89,"NQ-PL":48.45,"Quora-PL":83.21,"SCIDOCS-PL":16.08,"SciFact-PL":70.58,"TRECCOVID-PL":80.3}
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 {"index":1,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Average":51.88,"ArguAna-PL":56.48,"DBPedia-PL":36.98,"FiQA-PL":31.61,"HotpotQA-PL":60.9,"MSMARCO-PL":63.98,"NFCorpus-PL":30.1,"NQ-PL":44.2,"Quora-PL":81.43,"SCIDOCS-PL":16.59,"SciFact-PL":67.17,"TRECCOVID-PL":81.19}
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all_data_tasks/32/default.jsonl

@@ -1,48 +1,48 @@
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 {"index":3,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":70.64,"CDSC-R":90.97,"SICK-R-PL":78.16,"STS22 (pl)":42.79}
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all_data_tasks/33/default.jsonl

@@ -1,47 +1,46 @@
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 {"index":0,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Average":"","MassiveIntentClassification (nb)":37.74,"MassiveScenarioClassification (nb)":43.9,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
 {"index":1,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-base\">winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","MassiveIntentClassification (nb)":36.89,"MassiveScenarioClassification (nb)":44.27,"NoRecClassification":43.53,"NordicLangClassification":"","NorwegianParliament":54.9,"ScalaNbClassification":""}
 {"index":2,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","MassiveIntentClassification (nb)":28.65,"MassiveScenarioClassification (nb)":35.24,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
 {"index":3,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","MassiveIntentClassification (nb)":31.07,"MassiveScenarioClassification (nb)":38.02,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
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-{"index":27,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":1065,"Memory Usage (GB, fp32)":3.97,"Average":"","MassiveIntentClassification (nb)":46.18,"MassiveScenarioClassification (nb)":50.32,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
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-{"index":38,"Rank":41,"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,"Average":"","MassiveIntentClassification (nb)":43.78,"MassiveScenarioClassification (nb)":52.71,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
-{"index":39,"Rank":42,"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,"Average":"","MassiveIntentClassification (nb)":45.87,"MassiveScenarioClassification (nb)":54.44,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
-{"index":40,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":"","MassiveIntentClassification (nb)":38.53,"MassiveScenarioClassification (nb)":46.6,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
-{"index":41,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":"","MassiveIntentClassification (nb)":41.29,"MassiveScenarioClassification (nb)":49.92,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
-{"index":42,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Average":"","MassiveIntentClassification (nb)":45.91,"MassiveScenarioClassification (nb)":53.43,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
-{"index":43,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":"","MassiveIntentClassification (nb)":31.49,"MassiveScenarioClassification (nb)":38.05,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
-{"index":44,"Rank":47,"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,"Average":"","MassiveIntentClassification (nb)":54.64,"MassiveScenarioClassification (nb)":60.26,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":4,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Jechto\/e5-dansk-test-0.1\">e5-dansk-test-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":"","MassiveIntentClassification (nb)":"","MassiveScenarioClassification (nb)":"","NoRecClassification":"","NordicLangClassification":61.0,"NorwegianParliament":"","ScalaNbClassification":""}
+{"index":8,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":"","MassiveIntentClassification (nb)":39.67,"MassiveScenarioClassification (nb)":50.89,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
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+{"index":24,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":"","MassiveIntentClassification (nb)":71.66,"MassiveScenarioClassification (nb)":77.21,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":26,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":1065,"Memory Usage (GB, fp32)":3.97,"Average":"","MassiveIntentClassification (nb)":46.18,"MassiveScenarioClassification (nb)":50.32,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
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+{"index":34,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":"","MassiveIntentClassification (nb)":"","MassiveScenarioClassification (nb)":"","NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":35,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/allenai-specter\">allenai-specter<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":"","MassiveIntentClassification (nb)":34.75,"MassiveScenarioClassification (nb)":35.71,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":36,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Average":"","MassiveIntentClassification (nb)":46.01,"MassiveScenarioClassification (nb)":54.98,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":37,"Rank":40,"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,"Average":"","MassiveIntentClassification (nb)":43.78,"MassiveScenarioClassification (nb)":52.71,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":38,"Rank":41,"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,"Average":"","MassiveIntentClassification (nb)":45.87,"MassiveScenarioClassification (nb)":54.44,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":39,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":"","MassiveIntentClassification (nb)":38.53,"MassiveScenarioClassification (nb)":46.6,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":40,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":"","MassiveIntentClassification (nb)":41.29,"MassiveScenarioClassification (nb)":49.92,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":41,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Average":"","MassiveIntentClassification (nb)":45.91,"MassiveScenarioClassification (nb)":53.43,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":42,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":"","MassiveIntentClassification (nb)":31.49,"MassiveScenarioClassification (nb)":38.05,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
+{"index":43,"Rank":46,"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,"Average":"","MassiveIntentClassification (nb)":54.64,"MassiveScenarioClassification (nb)":60.26,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}

all_data_tasks/35/default.jsonl

@@ -62,7 +62,7 @@
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 {"index":37,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":40.4,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
 {"index":38,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":38.77,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""}
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all_data_tasks/4/default.jsonl

@@ -5,14 +5,14 @@
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 {"index":61,"Rank":18,"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,"Average":56.63,"ArguAna":62.78,"ClimateFEVER":34.27,"CQADupstackRetrieval":48.25,"DBPedia":48.34,"FEVER":90.2,"FiQA2018":55.33,"HotpotQA":71.76,"MSMARCO":43.24,"NFCorpus":41.83,"NQ":64.21,"QuoraRetrieval":87.16,"SCIDOCS":22.96,"SciFact":78.22,"Touche2020":20.5,"TRECCOVID":80.34}
@@ -38,17 +38,17 @@
 {"index":52,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":53.46,"ArguAna":66.18,"ClimateFEVER":33.13,"CQADupstackRetrieval":42.74,"DBPedia":42.84,"FEVER":85.44,"FiQA2018":44.93,"HotpotQA":72.49,"MSMARCO":41.46,"NFCorpus":37.9,"NQ":55.12,"QuoraRetrieval":89.07,"SCIDOCS":23.69,"SciFact":75.14,"Touche2020":24.42,"TRECCOVID":67.33}
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@@ -61,8 +61,8 @@
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all_data_tasks/5/default.jsonl

@@ -18,103 +18,103 @@
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all_data_tasks/6/default.jsonl

@@ -17,63 +17,63 @@
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 {"index":62,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse\">LLM2Vec-Meta-Llama-3-unsupervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"SummEval":31.45}
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 {"index":68,"Rank":34,"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,"SummEval":31.27}
 {"index":159,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-s-en-v1\">jina-embedding-s-en-v1<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"SummEval":31.25}
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 {"index":103,"Rank":47,"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,"SummEval":31.16}
 {"index":201,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/unsup-simcse-bert-base-uncased\">unsup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":31.15}
 {"index":114,"Rank":49,"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,"SummEval":31.14}
 {"index":267,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":31.12}
 {"index":152,"Rank":51,"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)":"","SummEval":31.1}
-{"index":168,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":31.07}
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+{"index":167,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":31.07}
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 {"index":20,"Rank":57,"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)":438,"Memory Usage (GB, fp32)":1.63,"SummEval":31.07}
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-{"index":81,"Rank":61,"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,"SummEval":31.03}
-{"index":169,"Rank":62,"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)":"","SummEval":31.01}
-{"index":9,"Rank":63,"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,"SummEval":31.01}
-{"index":139,"Rank":64,"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,"SummEval":31.01}
+{"index":210,"Rank":58,"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,"SummEval":31.05}
+{"index":125,"Rank":59,"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,"SummEval":31.05}
+{"index":81,"Rank":60,"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,"SummEval":31.03}
+{"index":268,"Rank":61,"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,"SummEval":31.03}
+{"index":9,"Rank":62,"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,"SummEval":31.01}
+{"index":139,"Rank":63,"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,"SummEval":31.01}
+{"index":169,"Rank":64,"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)":"","SummEval":31.01}
 {"index":36,"Rank":65,"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)":"","SummEval":30.99}
 {"index":57,"Rank":66,"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,"SummEval":30.98}
 {"index":8,"Rank":67,"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)":"","SummEval":30.97}
 {"index":141,"Rank":68,"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,"SummEval":30.97}
-{"index":155,"Rank":69,"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,"SummEval":30.97}
-{"index":67,"Rank":70,"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,"SummEval":30.97}
+{"index":67,"Rank":69,"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,"SummEval":30.97}
+{"index":155,"Rank":70,"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,"SummEval":30.97}
 {"index":113,"Rank":71,"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,"SummEval":30.96}
 {"index":61,"Rank":72,"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,"SummEval":30.94}
 {"index":19,"Rank":73,"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,"SummEval":30.91}
 {"index":111,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":30.87}
-{"index":6,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.84}
-{"index":97,"Rank":76,"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,"SummEval":30.84}
+{"index":97,"Rank":75,"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,"SummEval":30.84}
+{"index":6,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.84}
 {"index":202,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.83}
 {"index":172,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.82}
 {"index":212,"Rank":79,"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,"SummEval":30.81}
@@ -82,13 +82,13 @@
 {"index":21,"Rank":82,"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,"SummEval":30.77}
 {"index":164,"Rank":83,"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,"SummEval":30.73}
 {"index":191,"Rank":84,"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,"SummEval":30.72}
-{"index":157,"Rank":85,"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,"SummEval":30.71}
-{"index":71,"Rank":86,"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,"SummEval":30.71}
-{"index":93,"Rank":87,"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,"SummEval":30.71}
+{"index":93,"Rank":85,"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,"SummEval":30.71}
+{"index":157,"Rank":86,"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,"SummEval":30.71}
+{"index":71,"Rank":87,"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,"SummEval":30.71}
 {"index":224,"Rank":88,"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,"SummEval":30.67}
 {"index":221,"Rank":89,"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,"SummEval":30.64}
-{"index":153,"Rank":90,"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,"SummEval":30.62}
-{"index":95,"Rank":91,"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)":"","SummEval":30.62}
+{"index":95,"Rank":90,"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)":"","SummEval":30.62}
+{"index":153,"Rank":91,"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,"SummEval":30.62}
 {"index":115,"Rank":92,"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,"SummEval":30.6}
 {"index":245,"Rank":93,"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,"SummEval":30.57}
 {"index":129,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.56}
@@ -102,27 +102,27 @@
 {"index":196,"Rank":102,"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,"SummEval":30.4}
 {"index":148,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"SummEval":30.39}
 {"index":83,"Rank":104,"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,"SummEval":30.38}
-{"index":197,"Rank":105,"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,"SummEval":30.36}
-{"index":98,"Rank":106,"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,"SummEval":30.31}
-{"index":69,"Rank":107,"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,"SummEval":30.3}
-{"index":128,"Rank":108,"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,"SummEval":30.28}
-{"index":140,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":30.28}
-{"index":80,"Rank":110,"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,"SummEval":30.26}
-{"index":42,"Rank":111,"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,"SummEval":30.26}
+{"index":42,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7242,"Memory Usage (GB, fp32)":26.98,"SummEval":30.37}
+{"index":197,"Rank":106,"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,"SummEval":30.36}
+{"index":98,"Rank":107,"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,"SummEval":30.31}
+{"index":69,"Rank":108,"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,"SummEval":30.3}
+{"index":128,"Rank":109,"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,"SummEval":30.28}
+{"index":140,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":30.28}
+{"index":80,"Rank":111,"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,"SummEval":30.26}
 {"index":170,"Rank":112,"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)":"","SummEval":30.25}
 {"index":220,"Rank":113,"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,"SummEval":30.21}
-{"index":142,"Rank":114,"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,"SummEval":30.19}
-{"index":64,"Rank":115,"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,"SummEval":30.19}
+{"index":64,"Rank":114,"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,"SummEval":30.19}
+{"index":142,"Rank":115,"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,"SummEval":30.19}
 {"index":34,"Rank":116,"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)":"","SummEval":30.18}
 {"index":24,"Rank":117,"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,"SummEval":30.12}
 {"index":146,"Rank":118,"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,"SummEval":30.11}
-{"index":231,"Rank":119,"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,"SummEval":30.1}
-{"index":102,"Rank":120,"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,"SummEval":30.1}
-{"index":229,"Rank":121,"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,"SummEval":30.08}
-{"index":189,"Rank":122,"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,"SummEval":30.08}
+{"index":102,"Rank":119,"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,"SummEval":30.1}
+{"index":231,"Rank":120,"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,"SummEval":30.1}
+{"index":189,"Rank":121,"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,"SummEval":30.08}
+{"index":29,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
 {"index":28,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
-{"index":26,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
-{"index":29,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
+{"index":229,"Rank":124,"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,"SummEval":30.08}
+{"index":26,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
 {"index":27,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
 {"index":193,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEval":30.05}
 {"index":65,"Rank":128,"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,"SummEval":30.01}
@@ -134,8 +134,8 @@
 {"index":70,"Rank":134,"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,"SummEval":29.91}
 {"index":104,"Rank":135,"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,"SummEval":29.87}
 {"index":162,"Rank":136,"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,"SummEval":29.87}
-{"index":158,"Rank":137,"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,"SummEval":29.85}
-{"index":135,"Rank":138,"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,"SummEval":29.85}
+{"index":135,"Rank":137,"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,"SummEval":29.85}
+{"index":158,"Rank":138,"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,"SummEval":29.85}
 {"index":110,"Rank":139,"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,"SummEval":29.83}
 {"index":117,"Rank":140,"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,"SummEval":29.82}
 {"index":43,"Rank":141,"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,"SummEval":29.82}
@@ -147,13 +147,13 @@
 {"index":227,"Rank":147,"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,"SummEval":29.64}
 {"index":192,"Rank":148,"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,"SummEval":29.59}
 {"index":239,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/twadada\/tst\">tst<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.51}
-{"index":222,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/msmarco-bert-co-condensor\">msmarco-bert-co-condensor<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":29.5}
-{"index":219,"Rank":151,"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,"SummEval":29.5}
+{"index":219,"Rank":150,"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,"SummEval":29.5}
+{"index":222,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/msmarco-bert-co-condensor\">msmarco-bert-co-condensor<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":29.5}
 {"index":105,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"SummEval":29.47}
 {"index":240,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-4\">universal-sentence-encoder-4<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.42}
 {"index":77,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test25\">test25<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":29.33}
-{"index":120,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-lunaris-text-embeddings\">cai-lunaris-text-embeddings<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":29.02}
-{"index":171,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.02}
+{"index":171,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.02}
+{"index":120,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-lunaris-text-embeddings\">cai-lunaris-text-embeddings<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":29.02}
 {"index":241,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.01}
 {"index":215,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_glove.6B.300d\">glove.6B.300d<\/a>","Model Size (Million Parameters)":120,"Memory Usage (GB, fp32)":0.45,"SummEval":28.87}
 {"index":59,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"SummEval":28.49}

all_data_tasks/8/default.jsonl

@@ -16,7 +16,7 @@
 {"index":268,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":71.34,"AmazonReviewsClassification (zh)":47.23,"IFlyTek":49.6,"JDReview":86.72,"MassiveIntentClassification (zh-CN)":73.31,"MassiveScenarioClassification (zh-CN)":75.71,"MultilingualSentiment":76.48,"OnlineShopping":92.68,"TNews":51.98,"Waimai":88.37}
 {"index":266,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base-zh\">gte-base-zh<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":71.26,"AmazonReviewsClassification (zh)":45.82,"IFlyTek":48.62,"JDReview":85.95,"MassiveIntentClassification (zh-CN)":73.32,"MassiveScenarioClassification (zh-CN)":76.79,"MultilingualSentiment":75.79,"OnlineShopping":93.36,"TNews":53.65,"Waimai":88.07}
 {"index":191,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":71.2,"AmazonReviewsClassification (zh)":46.72,"IFlyTek":49.74,"JDReview":86.74,"MassiveIntentClassification (zh-CN)":72.87,"MassiveScenarioClassification (zh-CN)":75.47,"MultilingualSentiment":76.28,"OnlineShopping":92.49,"TNews":52.16,"Waimai":88.36}
-{"index":159,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":71.12,"AmazonReviewsClassification (zh)":46.34,"IFlyTek":49.93,"JDReview":86.27,"MassiveIntentClassification (zh-CN)":72.05,"MassiveScenarioClassification (zh-CN)":75.3,"MultilingualSentiment":76.22,"OnlineShopping":93.53,"TNews":53.2,"Waimai":87.27}
+{"index":159,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":71.12,"AmazonReviewsClassification (zh)":46.34,"IFlyTek":49.93,"JDReview":86.27,"MassiveIntentClassification (zh-CN)":72.05,"MassiveScenarioClassification (zh-CN)":75.3,"MultilingualSentiment":76.22,"OnlineShopping":93.53,"TNews":53.2,"Waimai":87.27}
 {"index":16,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Average":71.12,"AmazonReviewsClassification (zh)":47.21,"IFlyTek":44.85,"JDReview":85.82,"MassiveIntentClassification (zh-CN)":76.88,"MassiveScenarioClassification (zh-CN)":80.76,"MultilingualSentiment":74.46,"OnlineShopping":93.5,"TNews":49.95,"Waimai":86.63}
 {"index":193,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liujiarik\/lim_base_zh\">lim_base_zh<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":70.83,"AmazonReviewsClassification (zh)":46.67,"IFlyTek":47.34,"JDReview":85.67,"MassiveIntentClassification (zh-CN)":72.38,"MassiveScenarioClassification (zh-CN)":74.87,"MultilingualSentiment":76.27,"OnlineShopping":93.05,"TNews":53.27,"Waimai":87.96}
 {"index":166,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":70.17,"AmazonReviewsClassification (zh)":46.24,"IFlyTek":45.05,"JDReview":85.82,"MassiveIntentClassification (zh-CN)":74.99,"MassiveScenarioClassification (zh-CN)":79.93,"MultilingualSentiment":73.31,"OnlineShopping":92.19,"TNews":47.05,"Waimai":86.94}
@@ -26,7 +26,7 @@
 {"index":41,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":69.09,"AmazonReviewsClassification (zh)":43.32,"IFlyTek":47.08,"JDReview":84.48,"MassiveIntentClassification (zh-CN)":70.91,"MassiveScenarioClassification (zh-CN)":74.94,"MultilingualSentiment":72.68,"OnlineShopping":92.11,"TNews":49.85,"Waimai":86.44}
 {"index":20,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":69.05,"AmazonReviewsClassification (zh)":40.81,"IFlyTek":48.01,"JDReview":87.02,"MassiveIntentClassification (zh-CN)":68.27,"MassiveScenarioClassification (zh-CN)":73.13,"MultilingualSentiment":73.4,"OnlineShopping":91.82,"TNews":51.93,"Waimai":87.1}
 {"index":161,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":69.05,"AmazonReviewsClassification (zh)":40.82,"IFlyTek":47.99,"JDReview":86.98,"MassiveIntentClassification (zh-CN)":68.26,"MassiveScenarioClassification (zh-CN)":73.12,"MultilingualSentiment":73.41,"OnlineShopping":91.81,"TNews":51.93,"Waimai":87.12}
-{"index":21,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":69.05,"AmazonReviewsClassification (zh)":40.8,"IFlyTek":47.99,"JDReview":87.02,"MassiveIntentClassification (zh-CN)":68.26,"MassiveScenarioClassification (zh-CN)":73.13,"MultilingualSentiment":73.39,"OnlineShopping":91.81,"TNews":51.93,"Waimai":87.1}
+{"index":21,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Average":69.05,"AmazonReviewsClassification (zh)":40.8,"IFlyTek":47.99,"JDReview":87.02,"MassiveIntentClassification (zh-CN)":68.26,"MassiveScenarioClassification (zh-CN)":73.13,"MultilingualSentiment":73.39,"OnlineShopping":91.81,"TNews":51.93,"Waimai":87.1}
 {"index":210,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neofung\/m3e-ernie-xbase-zh\">m3e-ernie-xbase-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":68.83,"AmazonReviewsClassification (zh)":47.79,"IFlyTek":44.86,"JDReview":88.48,"MassiveIntentClassification (zh-CN)":61.29,"MassiveScenarioClassification (zh-CN)":66.9,"MultilingualSentiment":78.46,"OnlineShopping":92.58,"TNews":50.02,"Waimai":89.09}
 {"index":26,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-noinstruct\">bge-large-zh-noinstruct<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":68.58,"AmazonReviewsClassification (zh)":41.94,"IFlyTek":45.32,"JDReview":85.38,"MassiveIntentClassification (zh-CN)":66.96,"MassiveScenarioClassification (zh-CN)":73.39,"MultilingualSentiment":73.7,"OnlineShopping":91.66,"TNews":52.05,"Waimai":86.83}
 {"index":158,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":68.29,"AmazonReviewsClassification (zh)":39.64,"IFlyTek":47.9,"JDReview":84.78,"MassiveIntentClassification (zh-CN)":68.09,"MassiveScenarioClassification (zh-CN)":73.22,"MultilingualSentiment":71.67,"OnlineShopping":91.38,"TNews":51.25,"Waimai":86.68}
@@ -45,7 +45,7 @@
 {"index":169,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":65.35,"AmazonReviewsClassification (zh)":37.23,"IFlyTek":44.93,"JDReview":76.21,"MassiveIntentClassification (zh-CN)":69.16,"MassiveScenarioClassification (zh-CN)":75.42,"MultilingualSentiment":65.28,"OnlineShopping":88.4,"TNews":47.06,"Waimai":84.42}
 {"index":173,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":65.31,"AmazonReviewsClassification (zh)":38.12,"IFlyTek":43.52,"JDReview":81.09,"MassiveIntentClassification (zh-CN)":66.91,"MassiveScenarioClassification (zh-CN)":74.72,"MultilingualSentiment":66.33,"OnlineShopping":88.35,"TNews":46.08,"Waimai":82.67}
 {"index":184,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":64.94,"AmazonReviewsClassification (zh)":34.94,"IFlyTek":47.36,"JDReview":79.57,"MassiveIntentClassification (zh-CN)":68.2,"MassiveScenarioClassification (zh-CN)":71.93,"MultilingualSentiment":63.29,"OnlineShopping":87.0,"TNews":47.65,"Waimai":84.54}
-{"index":262,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":64.94,"AmazonReviewsClassification (zh)":34.94,"IFlyTek":47.36,"JDReview":79.57,"MassiveIntentClassification (zh-CN)":68.2,"MassiveScenarioClassification (zh-CN)":71.93,"MultilingualSentiment":63.29,"OnlineShopping":87.0,"TNews":47.65,"Waimai":84.54}
+{"index":262,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":64.94,"AmazonReviewsClassification (zh)":34.94,"IFlyTek":47.36,"JDReview":79.57,"MassiveIntentClassification (zh-CN)":68.2,"MassiveScenarioClassification (zh-CN)":71.93,"MultilingualSentiment":63.29,"OnlineShopping":87.0,"TNews":47.65,"Waimai":84.54}
 {"index":270,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Average":64.49,"AmazonReviewsClassification (zh)":38.69,"IFlyTek":41.15,"JDReview":82.83,"MassiveIntentClassification (zh-CN)":59.28,"MassiveScenarioClassification (zh-CN)":66.48,"MultilingualSentiment":68.2,"OnlineShopping":89.13,"TNews":49.65,"Waimai":84.96}
 {"index":256,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Average":64.37,"AmazonReviewsClassification (zh)":29.75,"IFlyTek":50.93,"JDReview":84.93,"MassiveIntentClassification (zh-CN)":67.46,"MassiveScenarioClassification (zh-CN)":71.6,"MultilingualSentiment":55.9,"OnlineShopping":82.53,"TNews":55.08,"Waimai":81.16}
 {"index":293,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":64.31,"AmazonReviewsClassification (zh)":38.3,"IFlyTek":44.62,"JDReview":74.6,"MassiveIntentClassification (zh-CN)":64.81,"MassiveScenarioClassification (zh-CN)":71.4,"MultilingualSentiment":67.99,"OnlineShopping":88.94,"TNews":45.77,"Waimai":82.37}

all_data_tasks/9/default.jsonl

@@ -16,7 +16,7 @@
 {"index":141,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella-large-zh-v3-1792d\">stella-large-zh-v3-1792d<\/a>","Model Size (Million Parameters)":325,"Memory Usage (GB, fp32)":1.21,"Average":53.9,"CLSClusteringP2P":41.94,"CLSClusteringS2S":40.34,"ThuNewsClusteringP2P":69.61,"ThuNewsClusteringS2S":63.71}
 {"index":266,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base-zh\">gte-base-zh<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":53.86,"CLSClusteringP2P":42.58,"CLSClusteringS2S":40.42,"ThuNewsClusteringP2P":68.81,"ThuNewsClusteringS2S":63.61}
 {"index":12,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/help.aliyun.com\/zh\/open-search\/vector-search-edition\/hybrid-retrieval\">OpenSearch-text-hybrid<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":53.75,"CLSClusteringP2P":41.64,"CLSClusteringS2S":40.33,"ThuNewsClusteringP2P":69.28,"ThuNewsClusteringS2S":63.75}
-{"index":159,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":53.3,"CLSClusteringP2P":42.86,"CLSClusteringS2S":39.98,"ThuNewsClusteringP2P":67.88,"ThuNewsClusteringS2S":62.47}
+{"index":159,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v3-1792d\">stella-base-zh-v3-1792d<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":53.3,"CLSClusteringP2P":42.86,"CLSClusteringS2S":39.98,"ThuNewsClusteringP2P":67.88,"ThuNewsClusteringS2S":62.47}
 {"index":268,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":53.07,"CLSClusteringP2P":42.1,"CLSClusteringS2S":38.91,"ThuNewsClusteringP2P":68.36,"ThuNewsClusteringS2S":62.92}
 {"index":166,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":52.3,"CLSClusteringP2P":44.42,"CLSClusteringS2S":42.58,"ThuNewsClusteringP2P":64.68,"ThuNewsClusteringS2S":57.53}
 {"index":46,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh\">Dmeta-embedding-zh<\/a>","Model Size (Million Parameters)":103,"Memory Usage (GB, fp32)":0.38,"Average":50.96,"CLSClusteringP2P":40.24,"CLSClusteringS2S":39.17,"ThuNewsClusteringP2P":65.58,"ThuNewsClusteringS2S":58.84}
@@ -25,7 +25,7 @@
 {"index":51,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":49.48,"CLSClusteringP2P":39.51,"CLSClusteringS2S":38.0,"ThuNewsClusteringP2P":62.57,"ThuNewsClusteringS2S":57.84}
 {"index":158,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":49.4,"CLSClusteringP2P":40.26,"CLSClusteringS2S":37.18,"ThuNewsClusteringP2P":62.19,"ThuNewsClusteringS2S":57.97}
 {"index":161,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":49.16,"CLSClusteringP2P":39.95,"CLSClusteringS2S":38.18,"ThuNewsClusteringP2P":61.4,"ThuNewsClusteringS2S":57.11}
-{"index":21,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":49.04,"CLSClusteringP2P":40.03,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.85,"ThuNewsClusteringS2S":57.09}
+{"index":21,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Average":49.04,"CLSClusteringP2P":40.03,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.85,"ThuNewsClusteringS2S":57.09}
 {"index":20,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":49.0,"CLSClusteringP2P":39.96,"CLSClusteringS2S":38.19,"ThuNewsClusteringP2P":60.74,"ThuNewsClusteringS2S":57.09}
 {"index":27,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":48.99,"CLSClusteringP2P":41.44,"CLSClusteringS2S":38.33,"ThuNewsClusteringP2P":59.61,"ThuNewsClusteringS2S":56.58}
 {"index":270,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Average":48.95,"CLSClusteringP2P":39.54,"CLSClusteringS2S":37.33,"ThuNewsClusteringP2P":63.79,"ThuNewsClusteringS2S":55.14}
@@ -43,15 +43,15 @@
 {"index":39,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-base\">winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":47.21,"CLSClusteringP2P":42.21,"CLSClusteringS2S":40.33,"ThuNewsClusteringP2P":55.81,"ThuNewsClusteringS2S":50.5}
 {"index":233,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-base-zh\">piccolo-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":47.12,"CLSClusteringP2P":38.36,"CLSClusteringS2S":35.65,"ThuNewsClusteringP2P":61.44,"ThuNewsClusteringS2S":53.02}
 {"index":234,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":47.04,"CLSClusteringP2P":38.98,"CLSClusteringS2S":36.04,"ThuNewsClusteringP2P":60.58,"ThuNewsClusteringS2S":52.56}
-{"index":262,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":46.47,"CLSClusteringP2P":39.97,"CLSClusteringS2S":38.4,"ThuNewsClusteringP2P":54.08,"ThuNewsClusteringS2S":53.42}
+{"index":262,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":46.47,"CLSClusteringP2P":39.97,"CLSClusteringS2S":38.4,"ThuNewsClusteringP2P":54.08,"ThuNewsClusteringS2S":53.42}
 {"index":184,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":46.47,"CLSClusteringP2P":39.97,"CLSClusteringS2S":38.4,"ThuNewsClusteringP2P":54.08,"ThuNewsClusteringS2S":53.42}
 {"index":293,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":45.68,"CLSClusteringP2P":38.26,"CLSClusteringS2S":35.91,"ThuNewsClusteringP2P":58.71,"ThuNewsClusteringS2S":49.86}
 {"index":172,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":45.26,"CLSClusteringP2P":39.14,"CLSClusteringS2S":37.79,"ThuNewsClusteringP2P":55.18,"ThuNewsClusteringS2S":48.93}
 {"index":261,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Average":44.39,"CLSClusteringP2P":37.01,"CLSClusteringS2S":33.46,"ThuNewsClusteringP2P":58.83,"ThuNewsClusteringS2S":48.26}
 {"index":33,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-small-zh-v1.5\">bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Average":44.18,"CLSClusteringP2P":38.14,"CLSClusteringS2S":35.14,"ThuNewsClusteringP2P":54.22,"ThuNewsClusteringS2S":49.22}
 {"index":174,"Rank":52,"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,"Average":43.24,"CLSClusteringP2P":36.73,"CLSClusteringS2S":36.45,"ThuNewsClusteringP2P":50.24,"ThuNewsClusteringS2S":49.54}
-{"index":175,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":42.42,"CLSClusteringP2P":35.21,"CLSClusteringS2S":35.12,"ThuNewsClusteringP2P":51.03,"ThuNewsClusteringS2S":48.32}
-{"index":173,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":42.42,"CLSClusteringP2P":35.36,"CLSClusteringS2S":37.07,"ThuNewsClusteringP2P":48.91,"ThuNewsClusteringS2S":48.34}
+{"index":173,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":42.42,"CLSClusteringP2P":35.36,"CLSClusteringS2S":37.07,"ThuNewsClusteringP2P":48.91,"ThuNewsClusteringS2S":48.34}
+{"index":175,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":42.42,"CLSClusteringP2P":35.21,"CLSClusteringS2S":35.12,"ThuNewsClusteringP2P":51.03,"ThuNewsClusteringS2S":48.32}
 {"index":176,"Rank":55,"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,"Average":42.32,"CLSClusteringP2P":36.0,"CLSClusteringS2S":36.35,"ThuNewsClusteringP2P":49.19,"ThuNewsClusteringS2S":47.76}
 {"index":169,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":40.68,"CLSClusteringP2P":32.41,"CLSClusteringS2S":36.99,"ThuNewsClusteringP2P":40.98,"ThuNewsClusteringS2S":52.36}
 {"index":49,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":39.67,"CLSClusteringP2P":39.24,"CLSClusteringS2S":35.36,"ThuNewsClusteringP2P":47.3,"ThuNewsClusteringS2S":36.77}

boards_data/da/data_tasks/BitextMining/default.jsonl

@@ -1,24 +1,23 @@
-{"index":9,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","BornholmBitextMining":47.37}
-{"index":13,"Rank":2,"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,"BornholmBitextMining":46.4}
-{"index":14,"Rank":3,"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,"BornholmBitextMining":44.16}
-{"index":15,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"BornholmBitextMining":43.89}
-{"index":12,"Rank":5,"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,"BornholmBitextMining":40.27}
-{"index":11,"Rank":6,"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,"BornholmBitextMining":40.15}
-{"index":10,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"BornholmBitextMining":40.09}
-{"index":1,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Jechto\/e5-dansk-test-0.1\">e5-dansk-test-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"BornholmBitextMining":37.97}
-{"index":20,"Rank":9,"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,"BornholmBitextMining":29.68}
-{"index":8,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chcaa\/dfm-encoder-large-v1\">dfm-sentence-encoder-large-1<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"BornholmBitextMining":15.93}
-{"index":4,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KBLab\/sentence-bert-swedish-cased\">sentence-bert-swedish-cased<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"BornholmBitextMining":14.08}
-{"index":7,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chcaa\/dfm-encoder-large-v1\">dfm-encoder-large-v1<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"BornholmBitextMining":11.65}
-{"index":5,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NbAiLab\/nb-bert-base\">nb-bert-base<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"BornholmBitextMining":9.88}
-{"index":2,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KB\/bert-base-swedish-cased\">bert-base-swedish-cased<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"BornholmBitextMining":6.6}
-{"index":22,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vesteinn\/DanskBERT\">DanskBERT<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"BornholmBitextMining":6.34}
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-{"index":6,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NbAiLab\/nb-bert-large\">nb-bert-large<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"BornholmBitextMining":4.53}
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boards_data/da/data_tasks/Classification/default.jsonl

@@ -1,47 +1,46 @@
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 {"index":0,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Average":"","AngryTweetsClassification":"","DKHateClassification":"","DanishPoliticalCommentsClassification":"","LccSentimentClassification":"","MassiveIntentClassification (da)":45.61,"MassiveScenarioClassification (da)":54.87,"NordicLangClassification":"","ScalaDaClassification":""}
 {"index":1,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-base\">winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","AngryTweetsClassification":46.17,"DKHateClassification":55.9,"DanishPoliticalCommentsClassification":28.33,"LccSentimentClassification":42.27,"MassiveIntentClassification (da)":40.37,"MassiveScenarioClassification (da)":49.35,"NordicLangClassification":"","ScalaDaClassification":50.11}
 {"index":2,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","AngryTweetsClassification":"","DKHateClassification":"","DanishPoliticalCommentsClassification":"","LccSentimentClassification":"","MassiveIntentClassification (da)":31.47,"MassiveScenarioClassification (da)":39.79,"NordicLangClassification":"","ScalaDaClassification":""}
 {"index":3,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","AngryTweetsClassification":"","DKHateClassification":"","DanishPoliticalCommentsClassification":"","LccSentimentClassification":"","MassiveIntentClassification (da)":35.53,"MassiveScenarioClassification (da)":42.65,"NordicLangClassification":"","ScalaDaClassification":""}
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+{"index":34,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":"","AngryTweetsClassification":"","DKHateClassification":"","DanishPoliticalCommentsClassification":"","LccSentimentClassification":"","MassiveIntentClassification (da)":"","MassiveScenarioClassification (da)":"","NordicLangClassification":"","ScalaDaClassification":""}
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+{"index":36,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Average":"","AngryTweetsClassification":"","DKHateClassification":"","DanishPoliticalCommentsClassification":"","LccSentimentClassification":"","MassiveIntentClassification (da)":52.33,"MassiveScenarioClassification (da)":62.55,"NordicLangClassification":"","ScalaDaClassification":""}
+{"index":37,"Rank":40,"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,"Average":"","AngryTweetsClassification":"","DKHateClassification":"","DanishPoliticalCommentsClassification":"","LccSentimentClassification":"","MassiveIntentClassification (da)":45.3,"MassiveScenarioClassification (da)":54.88,"NordicLangClassification":"","ScalaDaClassification":""}
+{"index":38,"Rank":41,"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,"Average":"","AngryTweetsClassification":"","DKHateClassification":"","DanishPoliticalCommentsClassification":"","LccSentimentClassification":"","MassiveIntentClassification (da)":48.42,"MassiveScenarioClassification (da)":57.28,"NordicLangClassification":"","ScalaDaClassification":""}
+{"index":39,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":"","AngryTweetsClassification":"","DKHateClassification":"","DanishPoliticalCommentsClassification":"","LccSentimentClassification":"","MassiveIntentClassification (da)":38.82,"MassiveScenarioClassification (da)":48.36,"NordicLangClassification":"","ScalaDaClassification":""}
+{"index":40,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":"","AngryTweetsClassification":"","DKHateClassification":"","DanishPoliticalCommentsClassification":"","LccSentimentClassification":"","MassiveIntentClassification (da)":41.76,"MassiveScenarioClassification (da)":51.44,"NordicLangClassification":"","ScalaDaClassification":""}
+{"index":41,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Average":"","AngryTweetsClassification":"","DKHateClassification":"","DanishPoliticalCommentsClassification":"","LccSentimentClassification":"","MassiveIntentClassification (da)":47.69,"MassiveScenarioClassification (da)":55.79,"NordicLangClassification":"","ScalaDaClassification":""}
+{"index":42,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":"","AngryTweetsClassification":"","DKHateClassification":"","DanishPoliticalCommentsClassification":"","LccSentimentClassification":"","MassiveIntentClassification (da)":32.25,"MassiveScenarioClassification (da)":41.14,"NordicLangClassification":"","ScalaDaClassification":""}
+{"index":43,"Rank":46,"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,"Average":"","AngryTweetsClassification":"","DKHateClassification":"","DanishPoliticalCommentsClassification":"","LccSentimentClassification":"","MassiveIntentClassification (da)":56.74,"MassiveScenarioClassification (da)":63.07,"NordicLangClassification":"","ScalaDaClassification":""}

boards_data/en/data_overall/default.jsonl

@@ -3,7 +3,7 @@
 {"index":93,"Rank":3,"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,"Average (56 datasets)":70.31,"Classification Average (12 datasets)":89.05,"Clustering Average (11 datasets)":56.17,"PairClassification Average (3 datasets)":88.07,"Reranking Average (4 datasets)":60.14,"Retrieval Average (15 datasets)":60.18,"STS Average (10 datasets)":81.26,"Summarization Average (1 datasets)":30.71}
 {"index":17,"Rank":4,"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 (56 datasets)":70.24,"Classification Average (12 datasets)":86.58,"Clustering Average (11 datasets)":56.92,"PairClassification Average (3 datasets)":85.79,"Reranking Average (4 datasets)":61.42,"Retrieval Average (15 datasets)":60.25,"STS Average (10 datasets)":83.04,"Summarization Average (1 datasets)":31.35}
 {"index":127,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average (56 datasets)":70.11,"Classification Average (12 datasets)":86.67,"Clustering Average (11 datasets)":56.7,"PairClassification Average (3 datasets)":87.74,"Reranking Average (4 datasets)":60.16,"Retrieval Average (15 datasets)":58.97,"STS Average (10 datasets)":84.22,"Summarization Average (1 datasets)":31.66}
-{"index":23,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":69.88,"Classification Average (12 datasets)":88.08,"Clustering Average (11 datasets)":54.65,"PairClassification Average (3 datasets)":85.84,"Reranking Average (4 datasets)":59.72,"Retrieval Average (15 datasets)":59.24,"STS Average (10 datasets)":83.88,"Summarization Average (1 datasets)":31.2}
+{"index":23,"Rank":6,"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 (56 datasets)":69.88,"Classification Average (12 datasets)":88.08,"Clustering Average (11 datasets)":54.65,"PairClassification Average (3 datasets)":85.84,"Reranking Average (4 datasets)":59.72,"Retrieval Average (15 datasets)":59.24,"STS Average (10 datasets)":83.88,"Summarization Average (1 datasets)":31.2}
 {"index":198,"Rank":7,"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,"Average (56 datasets)":69.32,"Classification Average (12 datasets)":87.35,"Clustering Average (11 datasets)":52.8,"PairClassification Average (3 datasets)":86.91,"Reranking Average (4 datasets)":60.54,"Retrieval Average (15 datasets)":59.36,"STS Average (10 datasets)":82.84,"Summarization Average (1 datasets)":31.2}
 {"index":6,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average (56 datasets)":68.23,"Classification Average (12 datasets)":81.49,"Clustering Average (11 datasets)":53.35,"PairClassification Average (3 datasets)":89.24,"Reranking Average (4 datasets)":60.09,"Retrieval Average (15 datasets)":58.28,"STS Average (10 datasets)":84.31,"Summarization Average (1 datasets)":30.84}
 {"index":57,"Rank":9,"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,"Average (56 datasets)":68.17,"Classification Average (12 datasets)":80.2,"Clustering Average (11 datasets)":51.42,"PairClassification Average (3 datasets)":88.35,"Reranking Average (4 datasets)":60.29,"Retrieval Average (15 datasets)":60.19,"STS Average (10 datasets)":84.97,"Summarization Average (1 datasets)":30.98}
@@ -11,35 +11,35 @@
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 {"index":16,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average (56 datasets)":67.16,"Classification Average (12 datasets)":82.47,"Clustering Average (11 datasets)":48.75,"PairClassification Average (3 datasets)":87.51,"Reranking Average (4 datasets)":59.98,"Retrieval Average (15 datasets)":58.29,"STS Average (10 datasets)":82.73,"Summarization Average (1 datasets)":31.17}
 {"index":9,"Rank":13,"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,"Average (56 datasets)":67.13,"Classification Average (12 datasets)":79.25,"Clustering Average (11 datasets)":52.42,"PairClassification Average (3 datasets)":86.87,"Reranking Average (4 datasets)":58.24,"Retrieval Average (15 datasets)":56.6,"STS Average (10 datasets)":85.79,"Summarization Average (1 datasets)":31.01}
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-{"index":1,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">google-gecko.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average (56 datasets)":66.31,"Classification Average (12 datasets)":81.17,"Clustering Average (11 datasets)":47.48,"PairClassification Average (3 datasets)":87.61,"Reranking Average (4 datasets)":58.9,"Retrieval Average (15 datasets)":55.7,"STS Average (10 datasets)":85.07,"Summarization Average (1 datasets)":32.63}
-{"index":202,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":65.96,"Classification Average (12 datasets)":77.17,"Clustering Average (11 datasets)":47.86,"PairClassification Average (3 datasets)":88.27,"Reranking Average (4 datasets)":60.46,"Retrieval Average (15 datasets)":57.05,"STS Average (10 datasets)":84.82,"Summarization Average (1 datasets)":30.83}
-{"index":43,"Rank":17,"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 (56 datasets)":65.66,"Classification Average (12 datasets)":78.53,"Clustering Average (11 datasets)":50.14,"PairClassification Average (3 datasets)":84.97,"Reranking Average (4 datasets)":59.8,"Retrieval Average (15 datasets)":55.09,"STS Average (10 datasets)":83.26,"Summarization Average (1 datasets)":29.82}
-{"index":19,"Rank":18,"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,"Average (56 datasets)":65.39,"Classification Average (12 datasets)":77.75,"Clustering Average (11 datasets)":47.96,"PairClassification Average (3 datasets)":84.53,"Reranking Average (4 datasets)":58.5,"Retrieval Average (15 datasets)":57.91,"STS Average (10 datasets)":81.43,"Summarization Average (1 datasets)":30.91}
-{"index":61,"Rank":19,"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,"Average (56 datasets)":65.01,"Classification Average (12 datasets)":75.92,"Clustering Average (11 datasets)":46.45,"PairClassification Average (3 datasets)":87.79,"Reranking Average (4 datasets)":59.68,"Retrieval Average (15 datasets)":56.63,"STS Average (10 datasets)":83.58,"Summarization Average (1 datasets)":30.94}
-{"index":63,"Rank":20,"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,"Average (56 datasets)":64.8,"Classification Average (12 datasets)":76.63,"Clustering Average (11 datasets)":45.54,"PairClassification Average (3 datasets)":87.99,"Reranking Average (4 datasets)":58.42,"Retrieval Average (15 datasets)":55.99,"STS Average (10 datasets)":84.09,"Summarization Average (1 datasets)":29.96}
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+{"index":36,"Rank":36,"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 (56 datasets)":64.01,"Classification Average (12 datasets)":76.01,"Clustering Average (11 datasets)":46.6,"PairClassification Average (3 datasets)":86.15,"Reranking Average (4 datasets)":57.86,"Retrieval Average (15 datasets)":53.84,"STS Average (10 datasets)":83.15,"Summarization Average (1 datasets)":30.99}
+{"index":111,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.71,"Classification Average (12 datasets)":76.03,"Clustering Average (11 datasets)":46.21,"PairClassification Average (3 datasets)":86.32,"Reranking Average (4 datasets)":59.37,"Retrieval Average (15 datasets)":52.31,"STS Average (10 datasets)":83.51,"Summarization Average (1 datasets)":30.87}
 {"index":20,"Rank":38,"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)":438,"Memory Usage (GB, fp32)":1.63,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.56,"Classification Average (12 datasets)":75.53,"Clustering Average (11 datasets)":45.81,"PairClassification Average (3 datasets)":86.55,"Reranking Average (4 datasets)":58.86,"Retrieval Average (15 datasets)":53.25,"STS Average (10 datasets)":82.4,"Summarization Average (1 datasets)":31.07}
-{"index":165,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.55,"Classification Average (12 datasets)":75.53,"Clustering Average (11 datasets)":45.77,"PairClassification Average (3 datasets)":86.55,"Reranking Average (4 datasets)":58.86,"Retrieval Average (15 datasets)":53.25,"STS Average (10 datasets)":82.4,"Summarization Average (1 datasets)":31.07}
+{"index":168,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.55,"Classification Average (12 datasets)":75.53,"Clustering Average (11 datasets)":45.77,"PairClassification Average (3 datasets)":86.55,"Reranking Average (4 datasets)":58.86,"Retrieval Average (15 datasets)":53.25,"STS Average (10 datasets)":82.4,"Summarization Average (1 datasets)":31.07}
 {"index":166,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.55,"Classification Average (12 datasets)":75.53,"Clustering Average (11 datasets)":45.77,"PairClassification Average (3 datasets)":86.55,"Reranking Average (4 datasets)":58.86,"Retrieval Average (15 datasets)":53.25,"STS Average (10 datasets)":82.4,"Summarization Average (1 datasets)":31.07}
-{"index":168,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.55,"Classification Average (12 datasets)":75.53,"Clustering Average (11 datasets)":45.77,"PairClassification Average (3 datasets)":86.55,"Reranking Average (4 datasets)":58.86,"Retrieval Average (15 datasets)":53.25,"STS Average (10 datasets)":82.4,"Summarization Average (1 datasets)":31.07}
-{"index":167,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.55,"Classification Average (12 datasets)":75.53,"Clustering Average (11 datasets)":45.77,"PairClassification Average (3 datasets)":86.55,"Reranking Average (4 datasets)":58.86,"Retrieval Average (15 datasets)":53.25,"STS Average (10 datasets)":82.4,"Summarization Average (1 datasets)":31.07}
+{"index":167,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.55,"Classification Average (12 datasets)":75.53,"Clustering Average (11 datasets)":45.77,"PairClassification Average (3 datasets)":86.55,"Reranking Average (4 datasets)":58.86,"Retrieval Average (15 datasets)":53.25,"STS Average (10 datasets)":82.4,"Summarization Average (1 datasets)":31.07}
+{"index":165,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":63.55,"Classification Average (12 datasets)":75.53,"Clustering Average (11 datasets)":45.77,"PairClassification Average (3 datasets)":86.55,"Reranking Average (4 datasets)":58.86,"Retrieval Average (15 datasets)":53.25,"STS Average (10 datasets)":82.4,"Summarization Average (1 datasets)":31.07}
 {"index":172,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":63.54,"Classification Average (12 datasets)":75.99,"Clustering Average (11 datasets)":45.58,"PairClassification Average (3 datasets)":87.37,"Reranking Average (4 datasets)":60.04,"Retrieval Average (15 datasets)":51.92,"STS Average (10 datasets)":83.34,"Summarization Average (1 datasets)":30.82}
 {"index":156,"Rank":44,"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,"Average (56 datasets)":63.34,"Classification Average (12 datasets)":73.96,"Clustering Average (11 datasets)":46.61,"PairClassification Average (3 datasets)":86.85,"Reranking Average (4 datasets)":59.86,"Retrieval Average (15 datasets)":51.8,"STS Average (10 datasets)":83.85,"Summarization Average (1 datasets)":31.61}
 {"index":179,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":63.25,"Classification Average (12 datasets)":74.14,"Clustering Average (11 datasets)":46.07,"PairClassification Average (3 datasets)":85.89,"Reranking Average (4 datasets)":58.94,"Retrieval Average (15 datasets)":51.42,"STS Average (10 datasets)":84.9,"Summarization Average (1 datasets)":31.55}
@@ -48,11 +48,11 @@
 {"index":114,"Rank":48,"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 (56 datasets)":62.72,"Classification Average (12 datasets)":76.11,"Clustering Average (11 datasets)":44.82,"PairClassification Average (3 datasets)":84.68,"Reranking Average (4 datasets)":58.56,"Retrieval Average (15 datasets)":50.43,"STS Average (10 datasets)":83.03,"Summarization Average (1 datasets)":31.14}
 {"index":138,"Rank":49,"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 (56 datasets)":62.61,"Classification Average (12 datasets)":75.28,"Clustering Average (11 datasets)":44.9,"PairClassification Average (3 datasets)":86.45,"Reranking Average (4 datasets)":58.78,"Retrieval Average (15 datasets)":50.1,"STS Average (10 datasets)":83.02,"Summarization Average (1 datasets)":32.52}
 {"index":235,"Rank":50,"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,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":73.01,"Clustering Average (11 datasets)":46.2,"PairClassification Average (3 datasets)":84.57,"Reranking Average (4 datasets)":58.61,"Retrieval Average (15 datasets)":51.14,"STS Average (10 datasets)":82.3,"Summarization Average (1 datasets)":31.17}
-{"index":26,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":74.12,"Clustering Average (11 datasets)":43.91,"PairClassification Average (3 datasets)":85.15,"Reranking Average (4 datasets)":55.69,"Retrieval Average (15 datasets)":52.81,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.08}
+{"index":29,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":74.12,"Clustering Average (11 datasets)":43.91,"PairClassification Average (3 datasets)":85.15,"Reranking Average (4 datasets)":55.69,"Retrieval Average (15 datasets)":52.81,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.08}
 {"index":28,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":74.12,"Clustering Average (11 datasets)":43.91,"PairClassification Average (3 datasets)":85.15,"Reranking Average (4 datasets)":55.69,"Retrieval Average (15 datasets)":52.81,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.08}
-{"index":189,"Rank":53,"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 (56 datasets)":62.39,"Classification Average (12 datasets)":74.12,"Clustering Average (11 datasets)":43.91,"PairClassification Average (3 datasets)":85.15,"Reranking Average (4 datasets)":55.69,"Retrieval Average (15 datasets)":52.81,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.08}
-{"index":29,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":74.12,"Clustering Average (11 datasets)":43.91,"PairClassification Average (3 datasets)":85.15,"Reranking Average (4 datasets)":55.69,"Retrieval Average (15 datasets)":52.81,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.08}
-{"index":27,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":74.12,"Clustering Average (11 datasets)":43.91,"PairClassification Average (3 datasets)":85.15,"Reranking Average (4 datasets)":55.69,"Retrieval Average (15 datasets)":52.81,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.08}
+{"index":27,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":74.12,"Clustering Average (11 datasets)":43.91,"PairClassification Average (3 datasets)":85.15,"Reranking Average (4 datasets)":55.69,"Retrieval Average (15 datasets)":52.81,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.08}
+{"index":189,"Rank":54,"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 (56 datasets)":62.39,"Classification Average (12 datasets)":74.12,"Clustering Average (11 datasets)":43.91,"PairClassification Average (3 datasets)":85.15,"Reranking Average (4 datasets)":55.69,"Retrieval Average (15 datasets)":52.81,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.08}
+{"index":26,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":62.39,"Classification Average (12 datasets)":74.12,"Clustering Average (11 datasets)":43.91,"PairClassification Average (3 datasets)":85.15,"Reranking Average (4 datasets)":55.69,"Retrieval Average (15 datasets)":52.81,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.08}
 {"index":196,"Rank":56,"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,"Average (56 datasets)":62.28,"Classification Average (12 datasets)":73.55,"Clustering Average (11 datasets)":43.93,"PairClassification Average (3 datasets)":84.61,"Reranking Average (4 datasets)":55.78,"Retrieval Average (15 datasets)":53.01,"STS Average (10 datasets)":81.94,"Summarization Average (1 datasets)":30.4}
 {"index":267,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average (56 datasets)":62.26,"Classification Average (12 datasets)":73.21,"Clustering Average (11 datasets)":46.65,"PairClassification Average (3 datasets)":85.04,"Reranking Average (4 datasets)":56.72,"Retrieval Average (15 datasets)":51.08,"STS Average (10 datasets)":81.58,"Summarization Average (1 datasets)":31.12}
 {"index":142,"Rank":58,"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 (56 datasets)":62.25,"Classification Average (12 datasets)":75.24,"Clustering Average (11 datasets)":44.49,"PairClassification Average (3 datasets)":86.03,"Reranking Average (4 datasets)":56.61,"Retrieval Average (15 datasets)":50.56,"STS Average (10 datasets)":82.05,"Summarization Average (1 datasets)":30.19}
@@ -63,8 +63,8 @@
 {"index":65,"Rank":63,"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,"Average (56 datasets)":61.85,"Classification Average (12 datasets)":72.21,"Clustering Average (11 datasets)":43.57,"PairClassification Average (3 datasets)":86.21,"Reranking Average (4 datasets)":55.38,"Retrieval Average (15 datasets)":51.44,"STS Average (10 datasets)":83.58,"Summarization Average (1 datasets)":30.01}
 {"index":137,"Rank":64,"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 (56 datasets)":61.79,"Classification Average (12 datasets)":73.12,"Clustering Average (11 datasets)":44.74,"PairClassification Average (3 datasets)":86.62,"Reranking Average (4 datasets)":57.29,"Retrieval Average (15 datasets)":49.26,"STS Average (10 datasets)":83.06,"Summarization Average (1 datasets)":32.32}
 {"index":136,"Rank":65,"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 (56 datasets)":61.59,"Classification Average (12 datasets)":73.86,"Clustering Average (11 datasets)":45.29,"PairClassification Average (3 datasets)":85.89,"Reranking Average (4 datasets)":57.54,"Retrieval Average (15 datasets)":47.57,"STS Average (10 datasets)":83.15,"Summarization Average (1 datasets)":31.84}
-{"index":140,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":61.5,"Classification Average (12 datasets)":73.84,"Clustering Average (11 datasets)":43.8,"PairClassification Average (3 datasets)":85.73,"Reranking Average (4 datasets)":55.91,"Retrieval Average (15 datasets)":50.29,"STS Average (10 datasets)":81.05,"Summarization Average (1 datasets)":30.28}
-{"index":128,"Rank":67,"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 (56 datasets)":61.5,"Classification Average (12 datasets)":73.84,"Clustering Average (11 datasets)":43.8,"PairClassification Average (3 datasets)":85.73,"Reranking Average (4 datasets)":55.91,"Retrieval Average (15 datasets)":50.29,"STS Average (10 datasets)":81.05,"Summarization Average (1 datasets)":30.28}
+{"index":128,"Rank":66,"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 (56 datasets)":61.5,"Classification Average (12 datasets)":73.84,"Clustering Average (11 datasets)":43.8,"PairClassification Average (3 datasets)":85.73,"Reranking Average (4 datasets)":55.91,"Retrieval Average (15 datasets)":50.29,"STS Average (10 datasets)":81.05,"Summarization Average (1 datasets)":30.28}
+{"index":140,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 datasets)":61.5,"Classification Average (12 datasets)":73.84,"Clustering Average (11 datasets)":43.8,"PairClassification Average (3 datasets)":85.73,"Reranking Average (4 datasets)":55.91,"Retrieval Average (15 datasets)":50.29,"STS Average (10 datasets)":81.05,"Summarization Average (1 datasets)":30.28}
 {"index":147,"Rank":68,"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 (56 datasets)":61.5,"Classification Average (12 datasets)":74.81,"Clustering Average (11 datasets)":41.06,"PairClassification Average (3 datasets)":84.75,"Reranking Average (4 datasets)":55.86,"Retrieval Average (15 datasets)":51.43,"STS Average (10 datasets)":81.56,"Summarization Average (1 datasets)":29.69}
 {"index":141,"Rank":69,"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,"Average (56 datasets)":61.42,"Classification Average (12 datasets)":73.14,"Clustering Average (11 datasets)":43.33,"PairClassification Average (3 datasets)":85.94,"Reranking Average (4 datasets)":56.53,"Retrieval Average (15 datasets)":49.99,"STS Average (10 datasets)":82.06,"Summarization Average (1 datasets)":30.97}
 {"index":190,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":8192,"Average (56 datasets)":61.36,"Classification Average (12 datasets)":73.65,"Clustering Average (11 datasets)":43.7,"PairClassification Average (3 datasets)":84.59,"Reranking Average (4 datasets)":53.32,"Retrieval Average (15 datasets)":51.43,"STS Average (10 datasets)":80.22,"Summarization Average (1 datasets)":31.28}

boards_data/en/data_tasks/Clustering/default.jsonl

@@ -4,13 +4,13 @@
 {"index":127,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dunzhang\/stella_en_400M_v5\">stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Average":56.7,"ArxivClusteringP2P":55.16,"ArxivClusteringS2S":49.82,"BiorxivClusteringP2P":50.68,"BiorxivClusteringS2S":45.81,"MedrxivClusteringP2P":46.32,"MedrxivClusteringS2S":44.29,"RedditClustering":71.19,"RedditClusteringP2P":74.42,"StackExchangeClustering":78.49,"StackExchangeClusteringP2P":48.9,"TwentyNewsgroupsClustering":58.57}
 {"index":93,"Rank":5,"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,"Average":56.17,"ArxivClusteringP2P":54.02,"ArxivClusteringS2S":48.82,"BiorxivClusteringP2P":50.76,"BiorxivClusteringS2S":46.57,"MedrxivClusteringP2P":46.66,"MedrxivClusteringS2S":44.18,"RedditClustering":62.92,"RedditClusteringP2P":72.74,"StackExchangeClustering":76.48,"StackExchangeClusteringP2P":48.29,"TwentyNewsgroupsClustering":66.42}
 {"index":15,"Rank":6,"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,"Average":55.83,"ArxivClusteringP2P":56.4,"ArxivClusteringS2S":51.45,"BiorxivClusteringP2P":49.01,"BiorxivClusteringS2S":45.06,"MedrxivClusteringP2P":44.37,"MedrxivClusteringS2S":42.0,"RedditClustering":73.37,"RedditClusteringP2P":72.51,"StackExchangeClustering":79.07,"StackExchangeClusteringP2P":49.57,"TwentyNewsgroupsClustering":51.31}
-{"index":23,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":54.65,"ArxivClusteringP2P":54.91,"ArxivClusteringS2S":50.28,"BiorxivClusteringP2P":52.64,"BiorxivClusteringS2S":49.2,"MedrxivClusteringP2P":45.81,"MedrxivClusteringS2S":44.11,"RedditClustering":56.03,"RedditClusteringP2P":65.83,"StackExchangeClustering":66.21,"StackExchangeClusteringP2P":45.74,"TwentyNewsgroupsClustering":70.44}
+{"index":23,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":54.65,"ArxivClusteringP2P":54.91,"ArxivClusteringS2S":50.28,"BiorxivClusteringP2P":52.64,"BiorxivClusteringS2S":49.2,"MedrxivClusteringP2P":45.81,"MedrxivClusteringS2S":44.11,"RedditClustering":56.03,"RedditClusteringP2P":65.83,"StackExchangeClustering":66.21,"StackExchangeClusteringP2P":45.74,"TwentyNewsgroupsClustering":70.44}
 {"index":6,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":53.35,"ArxivClusteringP2P":51.81,"ArxivClusteringS2S":44.73,"BiorxivClusteringP2P":46.07,"BiorxivClusteringS2S":40.64,"MedrxivClusteringP2P":42.94,"MedrxivClusteringS2S":41.44,"RedditClustering":68.5,"RedditClusteringP2P":64.86,"StackExchangeClustering":74.16,"StackExchangeClusteringP2P":45.1,"TwentyNewsgroupsClustering":66.62}
 {"index":198,"Rank":9,"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,"Average":52.8,"ArxivClusteringP2P":53.76,"ArxivClusteringS2S":49.59,"BiorxivClusteringP2P":48.15,"BiorxivClusteringS2S":44.74,"MedrxivClusteringP2P":39.24,"MedrxivClusteringS2S":36.98,"RedditClustering":63.2,"RedditClusteringP2P":68.01,"StackExchangeClustering":74.99,"StackExchangeClusteringP2P":42.04,"TwentyNewsgroupsClustering":60.13}
 {"index":9,"Rank":10,"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,"Average":52.42,"ArxivClusteringP2P":51.95,"ArxivClusteringS2S":42.48,"BiorxivClusteringP2P":50.15,"BiorxivClusteringS2S":42.84,"MedrxivClusteringP2P":47.24,"MedrxivClusteringS2S":43.48,"RedditClustering":63.73,"RedditClusteringP2P":64.09,"StackExchangeClustering":70.71,"StackExchangeClusteringP2P":40.34,"TwentyNewsgroupsClustering":59.56}
 {"index":94,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":51.67,"ArxivClusteringP2P":52.08,"ArxivClusteringS2S":47.38,"BiorxivClusteringP2P":43.94,"BiorxivClusteringS2S":41.14,"MedrxivClusteringP2P":40.03,"MedrxivClusteringS2S":39.0,"RedditClustering":59.9,"RedditClusteringP2P":67.64,"StackExchangeClustering":74.25,"StackExchangeClusteringP2P":46.78,"TwentyNewsgroupsClustering":56.27}
 {"index":57,"Rank":12,"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,"Average":51.42,"ArxivClusteringP2P":51.48,"ArxivClusteringS2S":47.3,"BiorxivClusteringP2P":42.73,"BiorxivClusteringS2S":39.58,"MedrxivClusteringP2P":37.84,"MedrxivClusteringS2S":36.65,"RedditClustering":61.52,"RedditClusteringP2P":68.24,"StackExchangeClustering":76.94,"StackExchangeClusteringP2P":46.04,"TwentyNewsgroupsClustering":57.3}
-{"index":42,"Rank":13,"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,"Average":50.61,"ArxivClusteringP2P":51.67,"ArxivClusteringS2S":48.11,"BiorxivClusteringP2P":40.87,"BiorxivClusteringS2S":39.8,"MedrxivClusteringP2P":36.52,"MedrxivClusteringS2S":36.8,"RedditClustering":61.3,"RedditClusteringP2P":67.26,"StackExchangeClustering":77.33,"StackExchangeClusteringP2P":41.33,"TwentyNewsgroupsClustering":55.7}
+{"index":42,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7242,"Memory Usage (GB, fp32)":26.98,"Average":50.61,"ArxivClusteringP2P":51.67,"ArxivClusteringS2S":48.11,"BiorxivClusteringP2P":40.87,"BiorxivClusteringS2S":39.8,"MedrxivClusteringP2P":36.52,"MedrxivClusteringS2S":36.8,"RedditClustering":61.3,"RedditClusteringP2P":67.26,"StackExchangeClustering":77.33,"StackExchangeClusteringP2P":41.33,"TwentyNewsgroupsClustering":55.7}
 {"index":143,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":50.26,"ArxivClusteringP2P":50.45,"ArxivClusteringS2S":45.5,"BiorxivClusteringP2P":43.53,"BiorxivClusteringS2S":40.24,"MedrxivClusteringP2P":38.19,"MedrxivClusteringS2S":37.45,"RedditClustering":57.71,"RedditClusteringP2P":66.49,"StackExchangeClustering":73.1,"StackExchangeClusteringP2P":45.91,"TwentyNewsgroupsClustering":54.31}
 {"index":43,"Rank":15,"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,"Average":50.14,"ArxivClusteringP2P":50.72,"ArxivClusteringS2S":48.01,"BiorxivClusteringP2P":41.41,"BiorxivClusteringS2S":38.67,"MedrxivClusteringP2P":36.54,"MedrxivClusteringS2S":37.24,"RedditClustering":63.01,"RedditClusteringP2P":65.86,"StackExchangeClustering":74.41,"StackExchangeClusteringP2P":38.52,"TwentyNewsgroupsClustering":57.16}
 {"index":266,"Rank":16,"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)":"","Average":49.01,"ArxivClusteringP2P":49.01,"ArxivClusteringS2S":44.45,"BiorxivClusteringP2P":38.03,"BiorxivClusteringS2S":36.53,"MedrxivClusteringP2P":32.7,"MedrxivClusteringS2S":31.27,"RedditClustering":67.84,"RedditClusteringP2P":67.96,"StackExchangeClustering":76.26,"StackExchangeClusteringP2P":36.88,"TwentyNewsgroupsClustering":58.14}
@@ -40,11 +40,11 @@
 {"index":179,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mixedbread-ai\/mxbai-embed-2d-large-v1\">mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":46.07,"ArxivClusteringP2P":48.29,"ArxivClusteringS2S":42.34,"BiorxivClusteringP2P":39.73,"BiorxivClusteringS2S":36.95,"MedrxivClusteringP2P":33.66,"MedrxivClusteringS2S":32.22,"RedditClustering":57.93,"RedditClusteringP2P":62.47,"StackExchangeClustering":66.41,"StackExchangeClusteringP2P":35.32,"TwentyNewsgroupsClustering":51.48}
 {"index":264,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":45.9,"ArxivClusteringP2P":45.01,"ArxivClusteringS2S":36.85,"BiorxivClusteringP2P":36.66,"BiorxivClusteringS2S":34.21,"MedrxivClusteringP2P":32.6,"MedrxivClusteringS2S":30.8,"RedditClustering":61.42,"RedditClusteringP2P":64.13,"StackExchangeClustering":72.22,"StackExchangeClusteringP2P":38.49,"TwentyNewsgroupsClustering":52.56}
 {"index":20,"Rank":42,"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)":438,"Memory Usage (GB, fp32)":1.63,"Average":45.81,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":36.62,"MedrxivClusteringP2P":33.21,"MedrxivClusteringS2S":31.68,"RedditClustering":56.61,"RedditClusteringP2P":62.66,"StackExchangeClustering":66.11,"StackExchangeClusteringP2P":35.24,"TwentyNewsgroupsClustering":50.75}
-{"index":167,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
-{"index":116,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
-{"index":165,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
-{"index":168,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
-{"index":166,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
+{"index":168,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_final\">privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
+{"index":165,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_12_final\">privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
+{"index":167,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_checkpoint_2\">privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
+{"index":166,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liddlefish\/privacy_embedding_rag_10k_base_15_final\">privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
+{"index":116,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aws-neuron\/bge-base-en-v1-5-seqlen-384-bs-1\">bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":45.77,"ArxivClusteringP2P":48.75,"ArxivClusteringS2S":42.81,"BiorxivClusteringP2P":39.1,"BiorxivClusteringS2S":36.7,"MedrxivClusteringP2P":32.95,"MedrxivClusteringS2S":31.56,"RedditClustering":56.24,"RedditClusteringP2P":62.88,"StackExchangeClustering":65.95,"StackExchangeClusteringP2P":35.01,"TwentyNewsgroupsClustering":51.47}
 {"index":172,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":45.58,"ArxivClusteringP2P":48.58,"ArxivClusteringS2S":43.14,"BiorxivClusteringP2P":38.84,"BiorxivClusteringS2S":36.38,"MedrxivClusteringP2P":31.96,"MedrxivClusteringS2S":30.88,"RedditClustering":57.61,"RedditClusteringP2P":64.03,"StackExchangeClustering":65.54,"StackExchangeClusteringP2P":33.98,"TwentyNewsgroupsClustering":50.41}
 {"index":63,"Rank":49,"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,"Average":45.54,"ArxivClusteringP2P":42.81,"ArxivClusteringS2S":44.24,"BiorxivClusteringP2P":34.27,"BiorxivClusteringS2S":35.53,"MedrxivClusteringP2P":31.07,"MedrxivClusteringS2S":31.27,"RedditClustering":60.24,"RedditClusteringP2P":64.12,"StackExchangeClustering":70.73,"StackExchangeClusteringP2P":34.5,"TwentyNewsgroupsClustering":52.18}
 {"index":136,"Rank":50,"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,"Average":45.29,"ArxivClusteringP2P":43.16,"ArxivClusteringS2S":32.56,"BiorxivClusteringP2P":37.62,"BiorxivClusteringS2S":31.33,"MedrxivClusteringP2P":34.22,"MedrxivClusteringS2S":32.0,"RedditClustering":63.65,"RedditClusteringP2P":64.63,"StackExchangeClustering":68.78,"StackExchangeClusteringP2P":36.15,"TwentyNewsgroupsClustering":54.13}
@@ -59,14 +59,14 @@
 {"index":33,"Rank":59,"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)":"","Average":44.64,"ArxivClusteringP2P":46.19,"ArxivClusteringS2S":37.58,"BiorxivClusteringP2P":38.97,"BiorxivClusteringS2S":34.52,"MedrxivClusteringP2P":37.66,"MedrxivClusteringS2S":33.54,"RedditClustering":53.5,"RedditClusteringP2P":63.59,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":36.48,"TwentyNewsgroupsClustering":46.06}
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 {"index":196,"Rank":61,"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,"Average":43.93,"ArxivClusteringP2P":45.69,"ArxivClusteringS2S":36.35,"BiorxivClusteringP2P":38.77,"BiorxivClusteringS2S":32.94,"MedrxivClusteringP2P":34.53,"MedrxivClusteringS2S":30.94,"RedditClustering":56.52,"RedditClusteringP2P":61.05,"StackExchangeClustering":63.19,"StackExchangeClusteringP2P":34.03,"TwentyNewsgroupsClustering":49.21}
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-{"index":26,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"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":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"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":189,"Rank":63,"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,"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":27,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"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":189,"Rank":65,"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,"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":28,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"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":28,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"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":29,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"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":24,"Rank":67,"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,"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":128,"Rank":68,"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,"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}
-{"index":140,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"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}
+{"index":140,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"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}
+{"index":128,"Rank":69,"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,"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}
 {"index":229,"Rank":70,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":43.72,"ArxivClusteringP2P":42.89,"ArxivClusteringS2S":33.47,"BiorxivClusteringP2P":36.53,"BiorxivClusteringS2S":28.66,"MedrxivClusteringP2P":32.09,"MedrxivClusteringS2S":26.82,"RedditClustering":58.99,"RedditClusteringP2P":64.46,"StackExchangeClustering":70.78,"StackExchangeClusteringP2P":35.25,"TwentyNewsgroupsClustering":50.93}
 {"index":194,"Rank":71,"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,"Average":43.71,"ArxivClusteringP2P":45.45,"ArxivClusteringS2S":36.19,"BiorxivClusteringP2P":38.41,"BiorxivClusteringS2S":32.28,"MedrxivClusteringP2P":34.47,"MedrxivClusteringS2S":31.43,"RedditClustering":55.9,"RedditClusteringP2P":60.58,"StackExchangeClustering":62.94,"StackExchangeClusteringP2P":33.81,"TwentyNewsgroupsClustering":49.36}
 {"index":190,"Rank":72,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":43.7,"ArxivClusteringP2P":45.85,"ArxivClusteringS2S":36.13,"BiorxivClusteringP2P":38.46,"BiorxivClusteringS2S":33.14,"MedrxivClusteringP2P":32.73,"MedrxivClusteringS2S":30.55,"RedditClustering":56.82,"RedditClusteringP2P":61.57,"StackExchangeClustering":63.18,"StackExchangeClusteringP2P":33.51,"TwentyNewsgroupsClustering":48.72}
@@ -115,8 +115,8 @@
 {"index":226,"Rank":115,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":40.21,"ArxivClusteringP2P":39.28,"ArxivClusteringS2S":27.26,"BiorxivClusteringP2P":33.99,"BiorxivClusteringS2S":22.92,"MedrxivClusteringP2P":33.2,"MedrxivClusteringS2S":26.13,"RedditClustering":52.93,"RedditClusteringP2P":59.67,"StackExchangeClustering":63.13,"StackExchangeClusteringP2P":35.68,"TwentyNewsgroupsClustering":48.1}
 {"index":163,"Rank":116,"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,"Average":40.08,"ArxivClusteringP2P":44.02,"ArxivClusteringS2S":35.16,"BiorxivClusteringP2P":35.57,"BiorxivClusteringS2S":29.07,"MedrxivClusteringP2P":31.86,"MedrxivClusteringS2S":27.51,"RedditClustering":49.28,"RedditClusteringP2P":57.09,"StackExchangeClustering":55.35,"StackExchangeClusteringP2P":34.42,"TwentyNewsgroupsClustering":41.57}
 {"index":178,"Rank":117,"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)":"","Average":39.94,"ArxivClusteringP2P":46.19,"ArxivClusteringS2S":36.91,"BiorxivClusteringP2P":38.59,"BiorxivClusteringS2S":32.32,"MedrxivClusteringP2P":32.55,"MedrxivClusteringS2S":29.92,"RedditClustering":45.63,"RedditClusteringP2P":53.37,"StackExchangeClustering":47.28,"StackExchangeClusteringP2P":34.25,"TwentyNewsgroupsClustering":42.38}
-{"index":78,"Rank":118,"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,"Average":39.92,"ArxivClusteringP2P":43.38,"ArxivClusteringS2S":33.71,"BiorxivClusteringP2P":35.06,"BiorxivClusteringS2S":30.71,"MedrxivClusteringP2P":32.08,"MedrxivClusteringS2S":29.45,"RedditClustering":48.23,"RedditClusteringP2P":53.18,"StackExchangeClustering":60.86,"StackExchangeClusteringP2P":32.36,"TwentyNewsgroupsClustering":40.06}
-{"index":145,"Rank":119,"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,"Average":39.92,"ArxivClusteringP2P":42.12,"ArxivClusteringS2S":34.8,"BiorxivClusteringP2P":35.89,"BiorxivClusteringS2S":30.05,"MedrxivClusteringP2P":31.34,"MedrxivClusteringS2S":27.88,"RedditClustering":45.72,"RedditClusteringP2P":59.66,"StackExchangeClustering":58.51,"StackExchangeClusteringP2P":31.98,"TwentyNewsgroupsClustering":41.13}
+{"index":145,"Rank":118,"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,"Average":39.92,"ArxivClusteringP2P":42.12,"ArxivClusteringS2S":34.8,"BiorxivClusteringP2P":35.89,"BiorxivClusteringS2S":30.05,"MedrxivClusteringP2P":31.34,"MedrxivClusteringS2S":27.88,"RedditClustering":45.72,"RedditClusteringP2P":59.66,"StackExchangeClustering":58.51,"StackExchangeClusteringP2P":31.98,"TwentyNewsgroupsClustering":41.13}
+{"index":78,"Rank":119,"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,"Average":39.92,"ArxivClusteringP2P":43.38,"ArxivClusteringS2S":33.71,"BiorxivClusteringP2P":35.06,"BiorxivClusteringS2S":30.71,"MedrxivClusteringP2P":32.08,"MedrxivClusteringS2S":29.45,"RedditClustering":48.23,"RedditClusteringP2P":53.18,"StackExchangeClustering":60.86,"StackExchangeClusteringP2P":32.36,"TwentyNewsgroupsClustering":40.06}
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boards_data/en/data_tasks/PairClassification/default.jsonl

@@ -18,100 +18,100 @@
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-{"index":152,"Rank":108,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":83.11,"SprintDuplicateQuestions":94.58,"TwitterSemEval2015":69.14,"TwitterURLCorpus":85.62}
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boards_data/en/data_tasks/Reranking/default.jsonl

@@ -2,68 +2,68 @@
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-{"index":137,"Rank":63,"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,"Average":57.29,"AskUbuntuDupQuestions":65.35,"MindSmallReranking":31.81,"SciDocsRR":79.49,"StackOverflowDupQuestions":52.52}
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+{"index":265,"Rank":54,"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)":"","Average":57.99,"AskUbuntuDupQuestions":64.61,"MindSmallReranking":29.63,"SciDocsRR":84.25,"StackOverflowDupQuestions":53.46}
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+{"index":187,"Rank":56,"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)":"","Average":57.86,"AskUbuntuDupQuestions":62.4,"MindSmallReranking":31.28,"SciDocsRR":85.01,"StackOverflowDupQuestions":52.75}
+{"index":36,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-v3.0\">Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":57.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":32.59,"SciDocsRR":84.31,"StackOverflowDupQuestions":52.4}
+{"index":0,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">google-gecko-256.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Average":57.78,"AskUbuntuDupQuestions":63.84,"MindSmallReranking":31.89,"SciDocsRR":81.62,"StackOverflowDupQuestions":53.76}
+{"index":237,"Rank":59,"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,"Average":57.7,"AskUbuntuDupQuestions":61.72,"MindSmallReranking":32.21,"SciDocsRR":84.83,"StackOverflowDupQuestions":52.03}
+{"index":18,"Rank":60,"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,"Average":57.66,"AskUbuntuDupQuestions":61.83,"MindSmallReranking":31.34,"SciDocsRR":85.17,"StackOverflowDupQuestions":52.29}
+{"index":136,"Rank":61,"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,"Average":57.54,"AskUbuntuDupQuestions":64.3,"MindSmallReranking":31.68,"SciDocsRR":82.0,"StackOverflowDupQuestions":52.17}
+{"index":109,"Rank":62,"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)":"","Average":57.5,"AskUbuntuDupQuestions":63.29,"MindSmallReranking":31.3,"SciDocsRR":80.67,"StackOverflowDupQuestions":54.75}
+{"index":59,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Average":57.38,"AskUbuntuDupQuestions":63.13,"MindSmallReranking":31.34,"SciDocsRR":84.03,"StackOverflowDupQuestions":51.02}
+{"index":137,"Rank":64,"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,"Average":57.29,"AskUbuntuDupQuestions":65.35,"MindSmallReranking":31.81,"SciDocsRR":79.49,"StackOverflowDupQuestions":52.52}
+{"index":184,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/neuralmagic\/bge-base-en-v1.5-sparse\">bge-base-en-v1.5-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":57.18,"AskUbuntuDupQuestions":60.23,"MindSmallReranking":31.71,"SciDocsRR":84.46,"StackOverflowDupQuestions":52.32}
+{"index":171,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":57.12,"AskUbuntuDupQuestions":62.73,"MindSmallReranking":30.81,"SciDocsRR":85.11,"StackOverflowDupQuestions":49.85}
 {"index":161,"Rank":67,"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,"Average":56.98,"AskUbuntuDupQuestions":62.25,"MindSmallReranking":30.54,"SciDocsRR":83.1,"StackOverflowDupQuestions":52.05}
 {"index":267,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":56.72,"AskUbuntuDupQuestions":62.18,"MindSmallReranking":29.93,"SciDocsRR":83.25,"StackOverflowDupQuestions":51.53}
 {"index":221,"Rank":69,"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,"Average":56.66,"AskUbuntuDupQuestions":63.23,"MindSmallReranking":31.93,"SciDocsRR":77.96,"StackOverflowDupQuestions":53.5}
@@ -84,11 +84,11 @@
 {"index":196,"Rank":84,"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,"Average":55.78,"AskUbuntuDupQuestions":61.71,"MindSmallReranking":30.31,"SciDocsRR":80.61,"StackOverflowDupQuestions":50.47}
 {"index":105,"Rank":85,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":55.77,"AskUbuntuDupQuestions":59.83,"MindSmallReranking":32.06,"SciDocsRR":81.54,"StackOverflowDupQuestions":49.65}
 {"index":139,"Rank":86,"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,"Average":55.7,"AskUbuntuDupQuestions":59.66,"MindSmallReranking":30.07,"SciDocsRR":82.9,"StackOverflowDupQuestions":50.15}
-{"index":26,"Rank":87,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
-{"index":27,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
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-{"index":189,"Rank":90,"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,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
-{"index":29,"Rank":91,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
+{"index":189,"Rank":87,"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,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
+{"index":28,"Rank":88,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
+{"index":29,"Rank":89,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":55.69,"AskUbuntuDupQuestions":60.6,"MindSmallReranking":30.81,"SciDocsRR":81.45,"StackOverflowDupQuestions":49.9}
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boards_data/en/data_tasks/Retrieval/default.jsonl

@@ -5,14 +5,14 @@
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 {"index":6,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.28,"ArguAna":64.06,"ClimateFEVER":32.65,"CQADupstackRetrieval":46.6,"DBPedia":46.03,"FEVER":91.47,"FiQA2018":59.76,"HotpotQA":70.86,"MSMARCO":40.6,"NFCorpus":40.32,"NQ":65.92,"QuoraRetrieval":87.4,"SCIDOCS":24.32,"SciFact":79.99,"Touche2020":39.16,"TRECCOVID":85.07}
 {"index":19,"Rank":14,"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,"Average":57.91,"ArguAna":72.11,"ClimateFEVER":48.36,"CQADupstackRetrieval":42.16,"DBPedia":46.3,"FEVER":93.81,"FiQA2018":63.23,"HotpotQA":68.18,"MSMARCO":42.93,"NFCorpus":36.95,"NQ":56.08,"QuoraRetrieval":89.67,"SCIDOCS":26.35,"SciFact":82.43,"Touche2020":22.55,"TRECCOVID":77.49}
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 {"index":202,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":57.05,"ArguAna":58.82,"ClimateFEVER":32.47,"CQADupstackRetrieval":49.52,"DBPedia":48.99,"FEVER":90.88,"FiQA2018":53.22,"HotpotQA":77.7,"MSMARCO":40.66,"NFCorpus":41.33,"NQ":64.67,"QuoraRetrieval":88.86,"SCIDOCS":23.01,"SciFact":79.62,"Touche2020":25.24,"TRECCOVID":80.75}
 {"index":143,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":56.89,"ArguAna":61.88,"ClimateFEVER":38.35,"CQADupstackRetrieval":42.97,"DBPedia":48.89,"FEVER":87.84,"FiQA2018":56.59,"HotpotQA":75.72,"MSMARCO":43.06,"NFCorpus":38.62,"NQ":63.53,"QuoraRetrieval":89.61,"SCIDOCS":16.3,"SciFact":76.41,"Touche2020":26.39,"TRECCOVID":87.25}
 {"index":61,"Rank":18,"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,"Average":56.63,"ArguAna":62.78,"ClimateFEVER":34.27,"CQADupstackRetrieval":48.25,"DBPedia":48.34,"FEVER":90.2,"FiQA2018":55.33,"HotpotQA":71.76,"MSMARCO":43.24,"NFCorpus":41.83,"NQ":64.21,"QuoraRetrieval":87.16,"SCIDOCS":22.96,"SciFact":78.22,"Touche2020":20.5,"TRECCOVID":80.34}
@@ -38,17 +38,17 @@
 {"index":52,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":53.46,"ArguAna":66.18,"ClimateFEVER":33.13,"CQADupstackRetrieval":42.74,"DBPedia":42.84,"FEVER":85.44,"FiQA2018":44.93,"HotpotQA":72.49,"MSMARCO":41.46,"NFCorpus":37.9,"NQ":55.12,"QuoraRetrieval":89.07,"SCIDOCS":23.69,"SciFact":75.14,"Touche2020":24.42,"TRECCOVID":67.33}
 {"index":113,"Rank":39,"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,"Average":53.44,"ArguAna":63.38,"ClimateFEVER":33.99,"CQADupstackRetrieval":43.44,"DBPedia":42.96,"FEVER":86.55,"FiQA2018":44.3,"HotpotQA":70.46,"MSMARCO":41.39,"NFCorpus":38.65,"NQ":56.09,"QuoraRetrieval":88.98,"SCIDOCS":24.06,"SciFact":74.72,"Touche2020":23.45,"TRECCOVID":69.13}
 {"index":244,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":53.3,"ArguAna":65.99,"ClimateFEVER":30.37,"CQADupstackRetrieval":43.39,"DBPedia":43.31,"FEVER":83.58,"FiQA2018":45.01,"HotpotQA":71.26,"MSMARCO":41.63,"NFCorpus":39.13,"NQ":55.13,"QuoraRetrieval":89.12,"SCIDOCS":23.79,"SciFact":75.25,"Touche2020":23.11,"TRECCOVID":69.38}
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 {"index":29,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":52.81,"ArguAna":49.26,"ClimateFEVER":40.5,"CQADupstackRetrieval":38.26,"DBPedia":45.03,"FEVER":84.98,"FiQA2018":38.44,"HotpotQA":73.64,"MSMARCO":43.13,"NFCorpus":35.03,"NQ":59.38,"QuoraRetrieval":87.7,"SCIDOCS":18.29,"SciFact":70.5,"Touche2020":28.15,"TRECCOVID":79.92}
-{"index":27,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":52.81,"ArguAna":49.26,"ClimateFEVER":40.5,"CQADupstackRetrieval":38.26,"DBPedia":45.03,"FEVER":84.98,"FiQA2018":38.44,"HotpotQA":73.64,"MSMARCO":43.13,"NFCorpus":35.03,"NQ":59.38,"QuoraRetrieval":87.7,"SCIDOCS":18.29,"SciFact":70.5,"Touche2020":28.15,"TRECCOVID":79.92}
-{"index":26,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":52.81,"ArguAna":49.26,"ClimateFEVER":40.5,"CQADupstackRetrieval":38.26,"DBPedia":45.03,"FEVER":84.98,"FiQA2018":38.44,"HotpotQA":73.64,"MSMARCO":43.13,"NFCorpus":35.03,"NQ":59.38,"QuoraRetrieval":87.7,"SCIDOCS":18.29,"SciFact":70.5,"Touche2020":28.15,"TRECCOVID":79.92}
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+{"index":26,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":52.81,"ArguAna":49.26,"ClimateFEVER":40.5,"CQADupstackRetrieval":38.26,"DBPedia":45.03,"FEVER":84.98,"FiQA2018":38.44,"HotpotQA":73.64,"MSMARCO":43.13,"NFCorpus":35.03,"NQ":59.38,"QuoraRetrieval":87.7,"SCIDOCS":18.29,"SciFact":70.5,"Touche2020":28.15,"TRECCOVID":79.92}
 {"index":148,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":52.47,"ArguAna":58.38,"ClimateFEVER":29.86,"CQADupstackRetrieval":42.71,"DBPedia":38.36,"FEVER":77.99,"FiQA2018":47.71,"HotpotQA":69.32,"MSMARCO":40.43,"NFCorpus":35.53,"NQ":57.75,"QuoraRetrieval":89.15,"SCIDOCS":18.72,"SciFact":71.85,"Touche2020":27.25,"TRECCOVID":82.0}
 {"index":0,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">google-gecko-256.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Average":52.44,"ArguAna":56.27,"ClimateFEVER":29.35,"CQADupstackRetrieval":45.41,"DBPedia":41.91,"FEVER":82.61,"FiQA2018":55.54,"HotpotQA":64.65,"MSMARCO":31.12,"NFCorpus":37.81,"NQ":57.37,"QuoraRetrieval":87.89,"SCIDOCS":18.21,"SciFact":70.86,"Touche2020":27.4,"TRECCOVID":80.13}
 {"index":194,"Rank":54,"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,"Average":52.4,"ArguAna":47.45,"ClimateFEVER":40.7,"CQADupstackRetrieval":39.06,"DBPedia":42.96,"FEVER":85.7,"FiQA2018":36.92,"HotpotQA":71.48,"MSMARCO":42.29,"NFCorpus":33.31,"NQ":58.83,"QuoraRetrieval":87.87,"SCIDOCS":17.88,"SciFact":70.12,"Touche2020":29.24,"TRECCOVID":82.12}
@@ -61,8 +61,8 @@
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boards_data/en/data_tasks/STS/default.jsonl

@@ -18,103 +18,103 @@
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 {"index":65,"Rank":25,"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,"Average":83.58,"BIOSSES":85.88,"SICK-R":82.25,"STS12":78.28,"STS13":85.52,"STS14":82.49,"STS15":88.76,"STS16":87.11,"STS17 (en-en)":90.1,"STS22 (en)":68.25,"STSBenchmark":87.16}
 {"index":111,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":83.51,"BIOSSES":87.95,"SICK-R":81.29,"STS12":76.16,"STS13":87.85,"STS14":83.39,"STS15":89.43,"STS16":85.35,"STS17 (en-en)":88.59,"STS22 (en)":67.81,"STSBenchmark":87.32}
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-{"index":115,"Rank":39,"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,"Average":83.0,"BIOSSES":87.2,"SICK-R":80.31,"STS12":75.76,"STS13":86.08,"STS14":82.28,"STS15":88.9,"STS16":85.18,"STS17 (en-en)":88.73,"STS22 (en)":68.54,"STSBenchmark":86.98}
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-{"index":229,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":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}
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boards_data/en/data_tasks/Summarization/default.jsonl

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 {"index":17,"Rank":31,"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,"SummEval":31.35}
 {"index":33,"Rank":32,"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)":"","SummEval":31.29}
 {"index":190,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1-ablated\">nomic-embed-text-v1-ablated<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":31.28}
 {"index":68,"Rank":34,"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,"SummEval":31.27}
 {"index":159,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embedding-s-en-v1\">jina-embedding-s-en-v1<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"SummEval":31.25}
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 {"index":112,"Rank":38,"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,"SummEval":31.22}
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 {"index":103,"Rank":47,"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,"SummEval":31.16}
 {"index":201,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/princeton-nlp\/unsup-simcse-bert-base-uncased\">unsup-simcse-bert-base-uncased<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":31.15}
 {"index":114,"Rank":49,"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,"SummEval":31.14}
 {"index":267,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":31.12}
 {"index":152,"Rank":51,"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)":"","SummEval":31.1}
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 {"index":20,"Rank":57,"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)":438,"Memory Usage (GB, fp32)":1.63,"SummEval":31.07}
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 {"index":36,"Rank":65,"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)":"","SummEval":30.99}
 {"index":57,"Rank":66,"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,"SummEval":30.98}
 {"index":8,"Rank":67,"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)":"","SummEval":30.97}
 {"index":141,"Rank":68,"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,"SummEval":30.97}
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+{"index":155,"Rank":70,"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,"SummEval":30.97}
 {"index":113,"Rank":71,"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,"SummEval":30.96}
 {"index":61,"Rank":72,"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,"SummEval":30.94}
 {"index":19,"Rank":73,"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,"SummEval":30.91}
 {"index":111,"Rank":74,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/avsolatorio\/GIST-Embedding-v0\">GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":30.87}
-{"index":6,"Rank":75,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.84}
-{"index":97,"Rank":76,"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,"SummEval":30.84}
+{"index":97,"Rank":75,"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,"SummEval":30.84}
+{"index":6,"Rank":76,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.84}
 {"index":202,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.83}
 {"index":172,"Rank":78,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":30.82}
 {"index":212,"Rank":79,"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,"SummEval":30.81}
@@ -82,13 +82,13 @@
 {"index":21,"Rank":82,"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,"SummEval":30.77}
 {"index":164,"Rank":83,"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,"SummEval":30.73}
 {"index":191,"Rank":84,"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,"SummEval":30.72}
-{"index":157,"Rank":85,"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,"SummEval":30.71}
-{"index":71,"Rank":86,"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,"SummEval":30.71}
-{"index":93,"Rank":87,"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,"SummEval":30.71}
+{"index":93,"Rank":85,"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,"SummEval":30.71}
+{"index":157,"Rank":86,"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,"SummEval":30.71}
+{"index":71,"Rank":87,"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,"SummEval":30.71}
 {"index":224,"Rank":88,"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,"SummEval":30.67}
 {"index":221,"Rank":89,"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,"SummEval":30.64}
-{"index":153,"Rank":90,"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,"SummEval":30.62}
-{"index":95,"Rank":91,"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)":"","SummEval":30.62}
+{"index":95,"Rank":90,"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)":"","SummEval":30.62}
+{"index":153,"Rank":91,"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,"SummEval":30.62}
 {"index":115,"Rank":92,"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,"SummEval":30.6}
 {"index":245,"Rank":93,"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,"SummEval":30.57}
 {"index":129,"Rank":94,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":30.56}
@@ -102,27 +102,27 @@
 {"index":196,"Rank":102,"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,"SummEval":30.4}
 {"index":148,"Rank":103,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"SummEval":30.39}
 {"index":83,"Rank":104,"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,"SummEval":30.38}
-{"index":197,"Rank":105,"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,"SummEval":30.36}
-{"index":98,"Rank":106,"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,"SummEval":30.31}
-{"index":69,"Rank":107,"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,"SummEval":30.3}
-{"index":128,"Rank":108,"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,"SummEval":30.28}
-{"index":140,"Rank":109,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":30.28}
-{"index":80,"Rank":110,"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,"SummEval":30.26}
-{"index":42,"Rank":111,"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,"SummEval":30.26}
+{"index":42,"Rank":105,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7242,"Memory Usage (GB, fp32)":26.98,"SummEval":30.37}
+{"index":197,"Rank":106,"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,"SummEval":30.36}
+{"index":98,"Rank":107,"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,"SummEval":30.31}
+{"index":69,"Rank":108,"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,"SummEval":30.3}
+{"index":128,"Rank":109,"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,"SummEval":30.28}
+{"index":140,"Rank":110,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">e5-base-v2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"SummEval":30.28}
+{"index":80,"Rank":111,"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,"SummEval":30.26}
 {"index":170,"Rank":112,"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)":"","SummEval":30.25}
 {"index":220,"Rank":113,"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,"SummEval":30.21}
-{"index":142,"Rank":114,"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,"SummEval":30.19}
-{"index":64,"Rank":115,"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,"SummEval":30.19}
+{"index":64,"Rank":114,"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,"SummEval":30.19}
+{"index":142,"Rank":115,"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,"SummEval":30.19}
 {"index":34,"Rank":116,"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)":"","SummEval":30.18}
 {"index":24,"Rank":117,"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,"SummEval":30.12}
 {"index":146,"Rank":118,"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,"SummEval":30.11}
-{"index":231,"Rank":119,"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,"SummEval":30.1}
-{"index":102,"Rank":120,"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,"SummEval":30.1}
-{"index":229,"Rank":121,"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,"SummEval":30.08}
-{"index":189,"Rank":122,"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,"SummEval":30.08}
+{"index":102,"Rank":119,"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,"SummEval":30.1}
+{"index":231,"Rank":120,"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,"SummEval":30.1}
+{"index":189,"Rank":121,"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,"SummEval":30.08}
+{"index":29,"Rank":122,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
 {"index":28,"Rank":123,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-5\">UniVaR-lambda-5<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
-{"index":26,"Rank":124,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
-{"index":29,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-80\">UniVaR-lambda-80<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
+{"index":229,"Rank":124,"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,"SummEval":30.08}
+{"index":26,"Rank":125,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-1\">UniVaR-lambda-1<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
 {"index":27,"Rank":126,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/CAiRE\/UniVaR-lambda-20\">UniVaR-lambda-20<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"SummEval":30.08}
 {"index":193,"Rank":127,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1.5\">nomic-embed-text-v1.5-256<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEval":30.05}
 {"index":65,"Rank":128,"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,"SummEval":30.01}
@@ -134,8 +134,8 @@
 {"index":70,"Rank":134,"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,"SummEval":29.91}
 {"index":104,"Rank":135,"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,"SummEval":29.87}
 {"index":162,"Rank":136,"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,"SummEval":29.87}
-{"index":158,"Rank":137,"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,"SummEval":29.85}
-{"index":135,"Rank":138,"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,"SummEval":29.85}
+{"index":135,"Rank":137,"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,"SummEval":29.85}
+{"index":158,"Rank":138,"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,"SummEval":29.85}
 {"index":110,"Rank":139,"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,"SummEval":29.83}
 {"index":117,"Rank":140,"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,"SummEval":29.82}
 {"index":43,"Rank":141,"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,"SummEval":29.82}
@@ -147,13 +147,13 @@
 {"index":227,"Rank":147,"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,"SummEval":29.64}
 {"index":192,"Rank":148,"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,"SummEval":29.59}
 {"index":239,"Rank":149,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/twadada\/tst\">tst<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.51}
-{"index":222,"Rank":150,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/msmarco-bert-co-condensor\">msmarco-bert-co-condensor<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":29.5}
-{"index":219,"Rank":151,"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,"SummEval":29.5}
+{"index":219,"Rank":150,"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,"SummEval":29.5}
+{"index":222,"Rank":151,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/msmarco-bert-co-condensor\">msmarco-bert-co-condensor<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEval":29.5}
 {"index":105,"Rank":152,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/TaylorAI\/gte-tiny\">gte-tiny<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"SummEval":29.47}
 {"index":240,"Rank":153,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-4\">universal-sentence-encoder-4<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.42}
 {"index":77,"Rank":154,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Mihaiii\/test25\">test25<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"SummEval":29.33}
-{"index":120,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-lunaris-text-embeddings\">cai-lunaris-text-embeddings<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":29.02}
-{"index":171,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.02}
+{"index":171,"Rank":155,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lixsh6\/XLM-3B5-embedding\">XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.02}
+{"index":120,"Rank":156,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/consciousAI\/cai-lunaris-text-embeddings\">cai-lunaris-text-embeddings<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"SummEval":29.02}
 {"index":241,"Rank":157,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-large-5\">universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEval":29.01}
 {"index":215,"Rank":158,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_glove.6B.300d\">glove.6B.300d<\/a>","Model Size (Million Parameters)":120,"Memory Usage (GB, fp32)":0.45,"SummEval":28.87}
 {"index":59,"Rank":159,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/McGill-NLP\/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised\">LLM2Vec-Llama-2-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"SummEval":28.49}

boards_data/fr/data_overall/default.jsonl

@@ -1,74 +1,73 @@
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 {"index":9,"Rank":2,"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 (26 datasets)":68.25,"Classification Average (6 datasets)":81.76,"Clustering Average (7 datasets)":55.56,"PairClassification Average (2 datasets)":90.43,"Reranking Average (2 datasets)":78.7,"Retrieval Average (5 datasets)":55.65,"STS Average (3 datasets)":82.31,"Summarization Average (1 datasets)":31.45}
 {"index":8,"Rank":3,"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 (26 datasets)":66.6,"Classification Average (6 datasets)":78.02,"Clustering Average (7 datasets)":55.01,"PairClassification Average (2 datasets)":86.88,"Reranking Average (2 datasets)":83.76,"Retrieval Average (5 datasets)":52.56,"STS Average (3 datasets)":81.26,"Summarization Average (1 datasets)":30.5}
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 {"index":3,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average (26 datasets)":60.58,"Classification Average (6 datasets)":68.45,"Clustering Average (7 datasets)":44.23,"PairClassification Average (2 datasets)":77.3,"Reranking Average (2 datasets)":82.06,"Retrieval Average (5 datasets)":52.98,"STS Average (3 datasets)":80.29,"Summarization Average (1 datasets)":30.34}
 {"index":0,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average (26 datasets)":59.41,"Classification Average (6 datasets)":68.61,"Clustering Average (7 datasets)":44.74,"PairClassification Average (2 datasets)":77.32,"Reranking Average (2 datasets)":80.46,"Retrieval Average (5 datasets)":46.81,"STS Average (3 datasets)":79.56,"Summarization Average (1 datasets)":31.47}
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 {"index":2,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-code-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":16000,"Average (26 datasets)":58.53,"Classification Average (6 datasets)":67.44,"Clustering Average (7 datasets)":45.46,"PairClassification Average (2 datasets)":76.85,"Reranking Average (2 datasets)":78.78,"Retrieval Average (5 datasets)":45.33,"STS Average (3 datasets)":77.52,"Summarization Average (1 datasets)":28.34}
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-{"index":49,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/bge-m3-custom-fr\">bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (26 datasets)":56.23,"Classification Average (6 datasets)":67.57,"Clustering Average (7 datasets)":37.9,"PairClassification Average (2 datasets)":77.1,"Reranking Average (2 datasets)":75.3,"Retrieval Average (5 datasets)":43.58,"STS Average (3 datasets)":79.5,"Summarization Average (1 datasets)":30.13}
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 {"index":15,"Rank":22,"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 (26 datasets)":56.02,"Classification Average (6 datasets)":67.08,"Clustering Average (7 datasets)":40.7,"PairClassification Average (2 datasets)":77.67,"Reranking Average (2 datasets)":68.36,"Retrieval Average (5 datasets)":40.42,"STS Average (3 datasets)":81.28,"Summarization Average (1 datasets)":31.26}
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 {"index":1,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average (26 datasets)":53.75,"Classification Average (6 datasets)":59.84,"Clustering Average (7 datasets)":41.88,"PairClassification Average (2 datasets)":74.36,"Reranking Average (2 datasets)":73.1,"Retrieval Average (5 datasets)":40.81,"STS Average (3 datasets)":71.82,"Summarization Average (1 datasets)":30.88}
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 {"index":14,"Rank":30,"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 (26 datasets)":52.87,"Classification Average (6 datasets)":61.3,"Clustering Average (7 datasets)":38.91,"PairClassification Average (2 datasets)":74.12,"Reranking Average (2 datasets)":69.82,"Retrieval Average (5 datasets)":36.1,"STS Average (3 datasets)":78.26,"Summarization Average (1 datasets)":31.4}
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 {"index":17,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":37.22,"Classification Average (6 datasets)":46.09,"Clustering Average (7 datasets)":34.09,"PairClassification Average (2 datasets)":70.08,"Reranking Average (2 datasets)":44.73,"Retrieval Average (5 datasets)":8.49,"STS Average (3 datasets)":50.47,"Summarization Average (1 datasets)":29.13}
 {"index":16,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":37.18,"Classification Average (6 datasets)":46.1,"Clustering Average (7 datasets)":33.94,"PairClassification Average (2 datasets)":70.1,"Reranking Average (2 datasets)":44.73,"Retrieval Average (5 datasets)":8.5,"STS Average (3 datasets)":50.44,"Summarization Average (1 datasets)":29.06}
 {"index":18,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":37.12,"Classification Average (6 datasets)":46.09,"Clustering Average (7 datasets)":33.96,"PairClassification Average (2 datasets)":70.09,"Reranking Average (2 datasets)":44.75,"Retrieval Average (5 datasets)":8.51,"STS Average (3 datasets)":49.93,"Summarization Average (1 datasets)":28.84}
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-{"index":70,"Rank":77,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":312,"Max Tokens":2048,"Average (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
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+{"index":61,"Rank":75,"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 (26 datasets)":"","Classification Average (6 datasets)":"","Clustering Average (7 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""}
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boards_data/fr/data_tasks/Classification/default.jsonl

@@ -1,74 +1,74 @@
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 {"index":10,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":81.62,"AmazonReviewsClassification (fr)":55.19,"MasakhaNEWSClassification (fra)":82.49,"MassiveIntentClassification (fr)":79.6,"MassiveScenarioClassification (fr)":82.18,"MTOPDomainClassification (fr)":97.2,"MTOPIntentClassification (fr)":93.07}
 {"index":8,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Average":78.02,"AmazonReviewsClassification (fr)":53.47,"MasakhaNEWSClassification (fra)":85.19,"MassiveIntentClassification (fr)":76.65,"MassiveScenarioClassification (fr)":79.1,"MTOPDomainClassification (fr)":93.48,"MTOPIntentClassification (fr)":80.23}
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 {"index":0,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":68.61,"AmazonReviewsClassification (fr)":41.59,"MasakhaNEWSClassification (fra)":81.4,"MassiveIntentClassification (fr)":62.83,"MassiveScenarioClassification (fr)":69.71,"MTOPDomainClassification (fr)":90.05,"MTOPIntentClassification (fr)":66.09}
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 {"index":16,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":46.1,"AmazonReviewsClassification (fr)":29.38,"MasakhaNEWSClassification (fra)":63.93,"MassiveIntentClassification (fr)":37.28,"MassiveScenarioClassification (fr)":44.5,"MTOPDomainClassification (fr)":63.65,"MTOPIntentClassification (fr)":37.87}
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boards_data/fr/data_tasks/Clustering/default.jsonl

@@ -1,57 +1,57 @@
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boards_data/fr/data_tasks/PairClassification/default.jsonl

@@ -3,56 +3,56 @@
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 {"index":3,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":77.3,"OpusparcusPC (fr)":93.06,"PawsXPairClassification (fr)":61.54}
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 {"index":2,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-code-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":76.85,"OpusparcusPC (fr)":92.87,"PawsXPairClassification (fr)":60.83}
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-{"index":24,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":75.61,"OpusparcusPC (fr)":92.6,"PawsXPairClassification (fr)":58.63}
-{"index":67,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":75.39,"OpusparcusPC (fr)":91.19,"PawsXPairClassification (fr)":59.59}
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 {"index":1,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":74.36,"OpusparcusPC (fr)":89.76,"PawsXPairClassification (fr)":58.96}
-{"index":54,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Average":74.3,"OpusparcusPC (fr)":93.96,"PawsXPairClassification (fr)":54.63}
+{"index":53,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Average":74.3,"OpusparcusPC (fr)":93.96,"PawsXPairClassification (fr)":54.63}
 {"index":14,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":74.12,"OpusparcusPC (fr)":90.92,"PawsXPairClassification (fr)":57.32}
-{"index":46,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":74.1,"OpusparcusPC (fr)":92.52,"PawsXPairClassification (fr)":55.68}
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-{"index":60,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Average":71.57,"OpusparcusPC (fr)":92.07,"PawsXPairClassification (fr)":51.08}
-{"index":56,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":70.96,"OpusparcusPC (fr)":86.53,"PawsXPairClassification (fr)":55.4}
-{"index":48,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":70.9,"OpusparcusPC (fr)":82.1,"PawsXPairClassification (fr)":59.69}
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 {"index":16,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.1,"OpusparcusPC (fr)":86.79,"PawsXPairClassification (fr)":53.4}
 {"index":18,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.09,"OpusparcusPC (fr)":86.79,"PawsXPairClassification (fr)":53.39}
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boards_data/fr/data_tasks/Reranking/default.jsonl

@@ -3,53 +3,53 @@
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boards_data/fr/data_tasks/Retrieval/default.jsonl

@@ -3,55 +3,55 @@
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 {"index":18,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":8.51,"AlloprofRetrieval":1.6,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":3.55,"SyntecRetrieval":18.95,"XPQARetrieval (fr)":18.46}
 {"index":16,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":8.5,"AlloprofRetrieval":1.6,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":3.55,"SyntecRetrieval":18.95,"XPQARetrieval (fr)":18.39}
 {"index":17,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":8.49,"AlloprofRetrieval":1.61,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":3.55,"SyntecRetrieval":18.95,"XPQARetrieval (fr)":18.35}
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+{"index":54,"Rank":71,"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,"Average":"","AlloprofRetrieval":33.2,"BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":55.9}