# All Mpnet Base V2 > Source: Benchize (https://benchize.com) — https://benchize.com/models/all-mpnet-base-v2. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/all-mpnet-base-v2. Sentence Transformers Canonical URL: https://benchize.com/models/all-mpnet-base-v2 Last updated: Wed, 21 Oct 2026 18:52:20 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. Sentence Transformers ## Benchmarks | Benchmark | Score | Rank | | | --- | --- | --- | --- | | [MTEB(Medical, v1) · Medical](https://benchize.com/benchmarks/mteb%3AMTEB(Medical%2C%20v1).md) | 0.33source score | 8 / 8 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.32701469954715073 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.30080162775484515 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 106 scoresByTask {"CMedQAv2-reranking":0.18831061522925535,"CUREv1":0.18313484848484848,"CmedqaRetrieval":0.01997,"MedicalQARetrieval":0.66517,"MedrxivClusteringP2P.v2":0.39861803270863766,"MedrxivClusteringS2S.v2":0.37023414814306715,"NFCorpus":0.33289,"PublicHealthQA":0.34269875,"SciFact":0.6557,"SciFact-PL":0.13309,"TRECCOVID":0.51326,"TRECCOVID-PL":0.1211} scoresByTaskType {"Clustering":0.3844260904258524,"Reranking":0.18831061522925535,"Retrieval":0.3296681776094277} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Medical%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-mpnet-base-v2 Observed 2026-10-21T16:40:35.852Z Evidence SHA-256 `6d1534f25189a9c84e353ced1f8d3958b2563d7c00e9719485eea3dbb0d1f13d` Source locator `/rows/105` | | | | | [MTEB(deu, v1) · German](https://benchize.com/benchmarks/mteb%3AMTEB(deu%2C%20v1).md) | 0.39source score | 8 / 10 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.38969202631578953 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.37589355555555554 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 97 scoresByTask {"AmazonCounterfactualClassification":0.55289,"AmazonReviewsClassification":0.26126000000000005,"BlurbsClusteringP2P":0.250311,"BlurbsClusteringS2S":0.106229,"FalseFriendsGermanEnglish":0.474828,"GerDaLIR":0.01531,"GermanDPR":0.56919,"GermanQuAD-Retrieval":0.710141,"GermanSTSBenchmark":0.6463464999999999,"MIRACLReranking":0.2343,"MTOPDomainClassification":0.7195435,"MTOPIntentClassification":0.443256,"MassiveIntentClassification":0.4370675,"MassiveScenarioClassification":0.531937,"PawsXPairClassification":0.505075,"STS22":0.270132,"TenKGnadClusteringP2P":0.394077,"TenKGnadClusteringS2S":0.199835,"XMarket":0.08242} scoresByTaskType {"Classification":0.4909923333333333,"Clustering":0.23761300000000002,"PairClassification":0.4899515,"Reranking":0.2343,"Retrieval":0.34426525,"STS":0.45823925} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(deu%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-mpnet-base-v2 Observed 2026-10-21T16:40:33.254Z Evidence SHA-256 `3049d3866e4630fda80cc24a54b97fabf1229366932e83607c39ce357fcc2e20` Source locator `/rows/96` | | | | | [MTEB(Law, v1) · Legal](https://benchize.com/benchmarks/mteb%3AMTEB(Law%2C%20v1).md) | 0.37source score | 10 / 12 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.37395124999999996 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.37395124999999996 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 133 scoresByTask {"AILACasedocs":0.22515,"AILAStatutes":0.21275,"GerDaLIRSmall":0.03775,"LeCaRDv2":0.1809,"LegalBenchConsumerContractsQA":0.75245,"LegalBenchCorporateLobbying":0.89044,"LegalQuAD":0.10669,"LegalSummarization":0.58548} scoresByTaskType {"Retrieval":0.37395124999999996} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Law%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-mpnet-base-v2 Observed 2026-10-21T16:40:35.593Z Evidence SHA-256 `366cc22709240d33f3a878edf79ca05670c259d3ada02601cd525a1dfb8143c1` Source locator `/rows/132` | | | | | [RTEB(fra, beta) · RTEB French](https://benchize.com/benchmarks/mteb%3ARTEB(fra%2C%20beta).md) | 0.13source score | 15 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.12629545454545454 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 164 scoresByTask {"CUREv1":0.12629545454545454,"French1Retrieval":0.66649,"FrenchLegal1Retrieval":0.24001} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(fra%2C%20beta)/scores) Source MTEB Original model label sentence-transformers/all-mpnet-base-v2 Observed 2026-10-21T16:40:40.473Z Evidence SHA-256 `ec979a256821300f551b7822b61d94415dd4bf631591e9b647f2b6ae5b4b60f4` Source locator `/rows/163` | | | | | [RTEB(deu, beta) · RTEB German](https://benchize.com/benchmarks/mteb%3ARTEB(deu%2C%20beta).md) | 0.11source score | 15 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.10669 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 187 scoresByTask {"German1Retrieval":0.48816,"GermanHealthcare1Retrieval":0.25016,"GermanLegal1Retrieval":0.37958,"LegalQuAD":0.10669} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(deu%2C%20beta)/scores) Source MTEB Original model label sentence-transformers/all-mpnet-base-v2 Observed 2026-10-21T16:40:40.727Z Evidence SHA-256 `70250aaee4788084a090cdccd91621a3c80bbf5076195bc3f215bcb392e7637d` Source locator `/rows/186` | | | | | [RTEB(Law, beta) · RTEB Legal](https://benchize.com/benchmarks/mteb%3ARTEB(Law%2C%20beta).md) | 0.28source score | 14 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.2825175 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 172 scoresByTask {"AILACasedocs":0.22515,"AILAStatutes":0.21275,"FrenchLegal1Retrieval":0.24001,"GermanLegal1Retrieval":0.37958,"JapaneseLegal1Retrieval":0.07721,"LegalQuAD":0.10669,"LegalSummarization":0.58548} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(Law%2C%20beta)/scores) Source MTEB Original model label sentence-transformers/all-mpnet-base-v2 Observed 2026-10-21T16:40:41.494Z Evidence SHA-256 `7204bf17f439a2d3c2052309544ff33f53928c057dd204e20b275f942e4f5516` Source locator `/rows/171` | | | | | [MTEB(nld, v1) · Dutch](https://benchize.com/benchmarks/mteb%3AMTEB(nld%2C%20v1).md) | 0.37source score | 10 / 11 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.36603263333333336 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4480879563492063 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 108 scoresByTask {"ArguAna-NL.v2":0.26823,"BelebeleRetrieval":0.55426,"CovidDisinformationNLMultiLabelClassification":0.450652,"DutchBookReviewSentimentClassification.v2":0.525056,"DutchColaClassification":0.537144,"DutchGovernmentBiasClassification":0.562779,"DutchNewsArticlesClassification":0.46091,"DutchNewsArticlesClusteringP2P":0.277119,"DutchNewsArticlesClusteringS2S":0.127898,"DutchNewsArticlesRetrieval":0.2061,"DutchSarcasticHeadlinesClassification":0.548774,"IconclassClassification":0.466409,"IconclassClusteringS2S":0.194902,"LegalQANLRetrieval":0.23627,"MassiveIntentClassification":0.3814575,"MassiveScenarioClassification":0.4730585,"MultiEURLEXMultilabelClassification":0.01452,"MultiHateClassification":0.5428,"NFCorpus-NL.v2":0.15842,"OpenTenderClassification":0.244297,"OpenTenderClusteringP2P":0.192026,"OpenTenderClusteringS2S":0.164858,"OpenTenderRetrieval":0.24863,"SCIDOCS-NL.v2":0.0832,"SIB200Classification":0.4932833333333333,"SIB200ClusteringS2S":0.201185,"SICK-NL-STS":0.532875,"SICKNLPairClassification":0.60503,"STSBenchmarkMultilingualSTS":0.607456,"SciFact-NL.v2":0.38071,"VABBClusteringP2P":0.324773,"VABBClusteringS2S":0.248727,"VABBMultiLabelClassification":0.373821,"VABBRetrieval":0.42068,"VaccinChatNLClassification":0.289484,"WebFAQRetrieval":0.34353,"WikipediaRerankingMultilingual":0.7388,"WikipediaRetrievalMultilingual":0.58535,"XLWICNLPairClassification":0.552351,"bBSARDNLRetrieval":0.02348} scoresByTaskType {"Classification":0.46045436111111115,"Clustering":0.216436,"MultilabelClassification":0.27966433333333335,"PairClassification":0.5786905,"Reranking":0.7388,"Retrieval":0.292405,"STS":0.5701655} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(nld%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-mpnet-base-v2 Observed 2026-10-21T16:40:34.651Z Evidence SHA-256 `9a76f8c975d4a52e0646df4cf0d33d81638e502e09c4917d880ac698f501788a` Source locator `/rows/107` | | | | | [LongEmbed · Long-context Retrieval](https://benchize.com/benchmarks/mteb%3ALongEmbed.md) | 0.31source score | 11 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.31121333333333334 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.31121333333333334 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 129 scoresByTask {"LEMBNarrativeQARetrieval":0.19337,"LEMBNeedleRetrieval":0.16,"LEMBPasskeyRetrieval":0.245,"LEMBQMSumRetrieval":0.21538,"LEMBSummScreenFDRetrieval":0.60432,"LEMBWikimQARetrieval":0.44921} scoresByTaskType {"Retrieval":0.31121333333333334} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/LongEmbed/scores) Source MTEB Original model label sentence-transformers/all-mpnet-base-v2 Observed 2026-10-21T16:40:31.460Z Evidence SHA-256 `f15d7a6a931cf287269b9fe1060d2ae3f8cd2d1cc004a12b65bfc447716cc008` Source locator `/rows/128` | | | | | [RTEB(fin, beta) · RTEB Finance](https://benchize.com/benchmarks/mteb%3ARTEB(fin%2C%20beta).md) | 0.56source score | 8 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5586333333333333 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 61 scoresByTask {"EnglishFinance1Retrieval":0.55183,"EnglishFinance2Retrieval":0.37233,"EnglishFinance3Retrieval":0.73657,"EnglishFinance4Retrieval":0.46681,"FinQARetrieval":0.37105,"FinanceBenchRetrieval":0.66955,"HC3FinanceRetrieval":0.6353} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(fin%2C%20beta)/scores) Source MTEB Original model label sentence-transformers/all-mpnet-base-v2 Observed 2026-10-21T16:40:40.217Z Evidence SHA-256 `e372e75484a69b00e1a4f9619cc0d72b27ed359ea6b25f0c413f1c9551e05c7e` Source locator `/rows/60` | | | | | [RTEB(Health, beta) · RTEB Healthcare](https://benchize.com/benchmarks/mteb%3ARTEB(Health%2C%20beta).md) | 0.38source score | 11 / 14 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.37732742424242427 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 79 scoresByTask {"CUREv1":0.18313484848484848,"ChatDoctorRetrieval":0.57152,"EnglishHealthcare1Retrieval":0.46849,"GermanHealthcare1Retrieval":0.25016} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(Health%2C%20beta)/scores) Source MTEB Original model label sentence-transformers/all-mpnet-base-v2 Observed 2026-10-21T16:40:40.988Z Evidence SHA-256 `bf62d4318f836a1a4f92c7d21e3acad553ff4cffb3162ea312270b15ce1b4e32` Source locator `/rows/78` | | | | | [MTEB(tha, v1) · Thai](https://benchize.com/benchmarks/mteb%3AMTEB(tha%2C%20v1).md) | 0.12source score | 2 / 3 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.12175432974686616 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.16775777495488414 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 33 scoresByTask {"BelebeleRetrieval":0.14360666666666666,"MIRACLReranking":0.03545,"MIRACLRetrievalHardNegatives.v2":0.00241,"MKQARetrieval":0.00584,"MTOPDomainClassification":0.1796725,"MTOPIntentClassification":0.0521495,"MrTidyRetrieval":0.00348,"MultiLongDocReranking":0.07746,"MultiLongDocRetrieval":0.03065,"SIB200Classification":0.19792733333333334,"SIB200ClusteringS2S":0.033114,"WebFAQRetrieval":0.20407,"WisesightSentimentClassification.v2":0.237214,"XNLI":0.5106709462029922,"XQuADRetrieval":0.1126} scoresByTaskType {"Classification":0.16674083333333334,"Clustering":0.033114,"PairClassification":0.5106709462029922,"Reranking":0.056455000000000005,"Retrieval":0.07180809523809525} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(tha%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-mpnet-base-v2 Observed 2026-10-21T16:40:36.633Z Evidence SHA-256 `d535310e5a7c0161f952cd0de3eb7d757500e970721ae4cda0f047c1ea5baa9a` Source locator `/rows/32` | | | | | [FollowIR · Instruction Following](https://benchize.com/benchmarks/mteb%3AFollowIR.md) | -0.03source score | 13 / 16 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| -0.03078166666666667 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| -0.03078166666666667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 178 scoresByTask {"Core17InstructionRetrieval":-0.007358,"News21InstructionRetrieval":-0.017918,"Robust04InstructionRetrieval":-0.067069} scoresByTaskType {"InstructionReranking":-0.03078166666666667} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/FollowIR/scores) Source MTEB Original model label sentence-transformers/all-mpnet-base-v2 Observed 2026-10-21T16:40:36.107Z Evidence SHA-256 `9727e715325c0f35c67173e5a59d96566fb3dded3f9f1558f9a7ddf230445ddb` Source locator `/rows/177` | | | | | [BEIR](https://benchize.com/benchmarks/mteb%3ABEIR.md) | 0.44source score | 13 / 15 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4381301333333333 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4381301333333333 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 86 ### Reported statistics experiments Not reported rank 142 scoresByTask {"ArguAna":0.46521,"CQADupstackRetrieval":0.449592,"ClimateFEVER":0.21971,"DBPedia":0.32088,"FEVER":0.50863,"FiQA2018":0.49963,"HotpotQA":0.39294,"MSMARCO":0.39747,"NFCorpus":0.33289,"NQ":0.5045,"QuoraRetrieval":0.87455,"SCIDOCS":0.23765,"SciFact":0.6557,"TRECCOVID":0.51326,"Touche2020":0.19934} scoresByTaskType {"Retrieval":0.4381301333333333} trainedOnTasks ["MSMARCO","NQ"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BEIR/scores) Source MTEB Original model label sentence-transformers/all-mpnet-base-v2 Observed 2026-10-21T16:40:29.416Z Evidence SHA-256 `aa692eb1a79edbe38d3f54eb90a444bff3d6c0f7b0d66e7893c86efe737c8e26` Source locator `/rows/141` | | | | | [ChemTEB · Chemical](https://benchize.com/benchmarks/mteb%3AChemTEB.md) | 0.7source score | 6 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.698010549382716 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4927463968627451 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 23 scoresByTask {"ChemHotpotQARetrieval":0.6846399999999999,"ChemNQRetrieval":0.52953,"PubChemAISentenceParaphrasePC":0.952239,"PubChemSMILESBitextMining":0.00087975,"PubChemSMILESPC":0.097491,"PubChemSynonymPC":0.578878,"PubChemWikiPairClassification":0.8186730833333332,"PubChemWikiParagraphsPC":0.198167,"SDSEyeProtectionClassification":0.68225,"SDSGlovesClassification":0.61675,"WikipediaBioMetChemClassification":0.994082,"WikipediaBiolumNeurochemClassification":0.960204,"WikipediaChemEngSpecialtiesClassification":0.491935,"WikipediaChemFieldsClassification":0.540311,"WikipediaChemistryTopicsClassification":0.890261,"WikipediaChemistryTopicsClustering":0.682674,"WikipediaCompChemSpectroscopyClassification":0.817647,"WikipediaCryobiologySeparationClassification":0.951073,"WikipediaCrystallographyAnalyticalClassification":0.964605,"WikipediaGreenhouseEnantiopureClassification":0.98114,"WikipediaIsotopesFissionClassification":0.911905,"WikipediaLuminescenceClassification":0.914634,"WikipediaOrganicInorganicClassification":0.888973,"WikipediaSaltsSemiconductorsClassification":0.878788,"WikipediaSolidStateColloidalClassification":0.832207,"WikipediaSpecialtiesInChemistryClustering":0.326357,"WikipediaTheoreticalAppliedClassification":0.659991} scoresByTaskType {"BitextMining":0.00087975,"Classification":0.8221621176470588,"Clustering":0.5045155,"PairClassification":0.5290896166666667,"Retrieval":0.6070849999999999} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/ChemTEB/scores) Source MTEB Original model label sentence-transformers/all-mpnet-base-v2 Observed 2026-10-21T16:40:30.425Z Evidence SHA-256 `a686e5d3d53f427eaafcd06cf50605dd45e3b4e0a7aaae31f5e8c757b4adbbed` Source locator `/rows/22` | | | | | [BRIGHT · Reasoning Retrieval](https://benchize.com/benchmarks/mteb%3ABRIGHT.md) | 0.15source score | 2 / 3 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.1459558333333333 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.1459558333333333 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 17 scoresByTask {"BrightRetrieval":0.1459558333333333} scoresByTaskType {"Retrieval":0.1459558333333333} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BRIGHT/scores) Source MTEB Original model label sentence-transformers/all-mpnet-base-v2 Observed 2026-10-21T16:40:29.916Z Evidence SHA-256 `b3be287be0beea7d05659deef5cb416b5d9a3c0dd9ddf9fb452418cd80365341` Source locator `/rows/16` | | | | --- Cite as: All Mpnet Base V2 — Benchize, https://benchize.com/models/all-mpnet-base-v2 (retrieved 2026-10-21)