{"schemaVersion":"hugging-bay.artifact-card.v1","pageFacts":{"id":"hf-model-sami92-multiling-e5-large-instruct-claim-matching","repo":"Sami92/multiling-e5-large-instruct-claim-matching","type":"embedding","purpose":"embedding model for sentence similarity and retrieval","license":{"id":"cc-by-4.0","label":"cc-by-4.0","state":"known","url":"https://spdx.org/licenses/CC-by-4.0.html","source":"spdx","hostedFile":false,"commercialUse":"yes","terms":"cc-by-4.0: commercial use, modification, and redistribution are permitted with attribution."},"task":{"id":"sentence-similarity","label":"sentence similarity and retrieval"},"size":{"bytes":2269782478,"label":"2.27 GB","known":true,"repositoryLabel":"Full repo upstream","hostedKnown":true,"hostedBytes":2256693885,"hostedLabel":"2.26 GB","hostedSummary":"8 hosted of 17 listed","hostedIsSubset":true,"downloadBytes":2239607176,"downloadLabel":"2.24 GB","recommended":{"path":"model.safetensors","fileName":"model.safetensors","fileCount":1,"quant":"","bytes":2239607176,"label":"2.24 GB","variants":1,"basis":"caller-selected"},"parameters":null,"sentence":"Hosted here: 8 files, 2.26 GB. Full repo upstream: 2.27 GB. The recommended download, model.safetensors, is 2.24 GB."},"files":{"hosted":8,"total":17,"label":"8 hosted of 17 listed"},"download":{"status":"hosted","label":"Ready","url":"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/download-plan"},"released":{"iso":"2026-09-24","label":"Sep 24, 2026","upstream":false,"factLabel":"Added to Hugging Bay"},"updated":{"iso":"2026-09-24","label":"Sep 24, 2026","factLabel":"Updated at source"},"source":{"provider":"huggingface","label":"Hugging Face","url":"https://huggingface.co/Sami92/multiling-e5-large-instruct-claim-matching","repoId":"Sami92/multiling-e5-large-instruct-claim-matching"},"languages":["de"],"baseModel":{"ref":"intfloat/multilingual-e5-large-instruct","url":"https://huggingface.co/intfloat/multilingual-e5-large-instruct","resolveUrl":"https://huggingbay.xyz/resolve?q=intfloat%2Fmultilingual-e5-large-instruct"},"paperIds":["1908.10084","2309.12871"],"arxivIds":["1908.10084","2309.12871"],"sameAs":["https://huggingface.co/Sami92/multiling-e5-large-instruct-claim-matching","https://arxiv.org/abs/1908.10084","https://arxiv.org/abs/2309.12871"],"creator":{"@type":"Organization","name":"Sami92","url":"https://huggingface.co/Sami92","sameAs":["https://huggingface.co/Sami92"]},"scholarlyArticles":[{"@type":"ScholarlyArticle","@id":"https://arxiv.org/abs/1908.10084","identifier":"arXiv:1908.10084","url":"https://arxiv.org/abs/1908.10084","sameAs":"https://doi.org/10.48550/arXiv.1908.10084"},{"@type":"ScholarlyArticle","@id":"https://arxiv.org/abs/2309.12871","identifier":"arXiv:2309.12871","url":"https://arxiv.org/abs/2309.12871","sameAs":"https://doi.org/10.48550/arXiv.2309.12871"}],"scanStatus":"passed","faq":[{"id":"what-is-it","question":"What is Sami92/multiling-e5-large-instruct-claim-matching?","answer":"Sami92/multiling-e5-large-instruct-claim-matching is an embedding model for sentence similarity and retrieval published by Sami92, added to Hugging Bay Sep 24, 2026. Model from Hugging Face for sentence similarity: Sami92/multiling-e5-large-instruct-claim-matching · sentence transformers"},{"id":"license","question":"What license does Sami92/multiling-e5-large-instruct-claim-matching use, and can I use it commercially?","answer":"It is released under the cc-by-4.0 license. Commercial use is allowed. cc-by-4.0: commercial use, modification, and redistribution are permitted with attribution."},{"id":"size","question":"How big is Sami92/multiling-e5-large-instruct-claim-matching?","answer":"Hosted here: 8 files, 2.26 GB. Full repo upstream: 2.27 GB. The recommended download, model.safetensors, is 2.24 GB."},{"id":"download","question":"Where can I download Sami92/multiling-e5-large-instruct-claim-matching?","answer":"Hosted here: 8 files, 2.26 GB. Full repo upstream: 2.27 GB. The original release is at https://huggingface.co/Sami92/multiling-e5-large-instruct-claim-matching."},{"id":"safety","question":"File pattern scans","answer":"Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/safety on Hugging Bay."},{"id":"fit-unknown","question":"Will Sami92/multiling-e5-large-instruct-claim-matching run on my computer?","answer":"We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked."}]},"generatedAt":"2026-11-15T14:34:04.960Z","signals":{"size":{"known":true,"bytes":2269782478,"label":"2.1 GB","reason":""},"demand":{"mirrorRequests":0,"upstreamDownloads":89,"upstreamStars":0,"label":"89 upstream downloads","basis":"upstream-downloads"},"trust":{"score":0,"level":"metadata-checked","label":"Unknown","qualification":"recorded-state-complete-bytes","trustImpact":"none","checks":[{"id":"license","label":"License","status":"pass","detail":"cc-by-4.0"},{"id":"provenance","label":"Provenance","status":"pass","detail":"Sami92/multiling-e5-large-instruct-claim-matching"},{"id":"scan","label":"Scan","status":"pass","detail":"passed"},{"id":"hosting","label":"Hosted files","status":"warn","detail":"8/17 repository files hosted; selected representation evaluated separately"},{"id":"manifest","label":"Byte manifest integrity","status":"pass","detail":"selected representation is complete-bytes; per-file SHA-256 published (cryptographic signing pending)"}],"strengths":["License: cc-by-4.0","Provenance: Sami92/multiling-e5-large-instruct-claim-matching","Scan: passed","Byte manifest integrity: selected representation is complete-bytes; per-file SHA-256 published (cryptographic signing pending)"],"gaps":["Hosted files: 8/17 repository files hosted; selected representation evaluated separately"]},"readiness":{"score":0,"level":"bytes-complete","hostedFinal":true,"hostedFiles":8,"externalFiles":9,"totalFiles":17},"action":{"id":"download","label":"Download exact selected bytes","detail":"The selected immutable representation is byte-complete; runtime compatibility is not established.","href":"/api/v1/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/download-plan"}},"structuredData":{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://huggingbay.xyz/#organization","name":"The Hugging Bay","alternateName":"Hugging Bay","url":"https://huggingbay.xyz","description":"The Hugging Bay is an AI model catalog. Tug is its desktop assistant for local and connected AI services.","disambiguatingDescription":"Not affiliated with Hugging Face. No crypto token; similarly named tokens, repos and Spaces are not ours.","founder":{"@type":"Person","name":"Barney Wohl","email":"barney@huggingbay.xyz"},"logo":{"@type":"ImageObject","@id":"https://huggingbay.xyz/#logo","url":"https://huggingbay.xyz/brand/logo.png"},"sameAs":["https://github.com/barneywohl/hugging-bay-agents","https://www.npmjs.com/package/hugging-bay-agents","https://www.npmjs.com/package/hugging-bay-mcp","https://pypi.org/project/hugging-bay/","https://t.me/TugByHuggingBayBot","https://registry.modelcontextprotocol.io/v0.1/servers/io.github.barneywohl%2Fhugging-bay/versions/latest"]},{"@type":"WebSite","@id":"https://huggingbay.xyz/#website","url":"https://huggingbay.xyz","name":"The Hugging Bay","alternateName":"Hugging Bay","image":{"@id":"https://huggingbay.xyz/#logo"},"description":"The Hugging Bay is an AI model catalog. Tug is its desktop assistant for local and connected AI services.","publisher":{"@id":"https://huggingbay.xyz/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://huggingbay.xyz/browse?q={search_term_string}"},"query-input":"required name=search_term_string"}},{"@type":"ItemPage","@id":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching#webpage","url":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching","name":"Sami92/multiling-e5-large-instruct-claim-matching | Hugging Bay","description":"External Hugging Face catalog record for Sami92/multiling-e5-large-instruct-claim-matching. Task: sentence similarity. Library: sentence transformers. Languages: de. Base model: intfloat/multilingual-e5-large-instruct. Includes 8 model-card evaluation signals. Popularity signal at import: 89 downloads and 0 likes.","image":"https://huggingbay.xyz/brand/harbor-social-card.png","isPartOf":{"@id":"https://huggingbay.xyz/#website"},"mainEntity":{"@id":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching#artifact"}},{"@type":"BreadcrumbList","@id":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching#breadcrumbs","itemListElement":[{"@type":"ListItem","position":1,"name":"Hugging Bay","item":"https://huggingbay.xyz/"},{"@type":"ListItem","position":2,"name":"Artifacts","item":"https://huggingbay.xyz/browse"},{"@type":"ListItem","position":3,"name":"Sami92/multiling-e5-large-instruct-claim-matching","item":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching"}]},{"@type":["SoftwareApplication","CreativeWork"],"@id":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching#artifact","name":"Sami92/multiling-e5-large-instruct-claim-matching","alternateName":"multiling-e5-large-instruct-claim-matching","description":"External Hugging Face catalog record for Sami92/multiling-e5-large-instruct-claim-matching. Task: sentence similarity. Library: sentence transformers. Languages: de. Base model: intfloat/multilingual-e5-large-instruct. Includes 8 model-card evaluation signals. Popularity signal at import: 89 downloads and 0 likes.","url":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching","identifier":"hf-model-sami92-multiling-e5-large-instruct-claim-matching","additionalType":"https://huggingbay.xyz/schema/EmbeddingModel","applicationCategory":"AI model artifact","applicationSubCategory":"sentence-similarity","fileSize":"2.24 GB","license":"https://spdx.org/licenses/CC-by-4.0.html","keywords":"embedding, sentence-similarity, text, sentence-transformers, safetensors, html, jpg, cc-by-4.0, xlm-roberta, feature-extraction, generated_from_trainer, dataset_size:51106","datePublished":"2026-09-24","dateModified":"2026-09-24","inLanguage":["de"],"creator":{"@type":"Organization","name":"Sami92","url":"https://huggingface.co/Sami92","sameAs":["https://huggingface.co/Sami92"]},"publisher":{"@type":"Organization","name":"Sami92","url":"https://huggingface.co/Sami92","sameAs":["https://huggingface.co/Sami92"]},"sameAs":["https://huggingface.co/Sami92/multiling-e5-large-instruct-claim-matching","https://arxiv.org/abs/1908.10084","https://arxiv.org/abs/2309.12871"],"isBasedOn":{"@type":["SoftwareApplication","CreativeWork"],"name":"intfloat/multilingual-e5-large-instruct","url":"https://huggingface.co/intfloat/multilingual-e5-large-instruct","sameAs":"https://huggingface.co/intfloat/multilingual-e5-large-instruct"},"isAccessibleForFree":true,"conditionsOfAccess":"Public metadata is crawlable. Hosted downloads are available only for reviewed mirrored files listed by Hugging Bay manifests and downloadable-file APIs.","citation":[{"@type":"ScholarlyArticle","@id":"https://arxiv.org/abs/1908.10084","identifier":"arXiv:1908.10084","url":"https://arxiv.org/abs/1908.10084","sameAs":"https://doi.org/10.48550/arXiv.1908.10084"},{"@type":"ScholarlyArticle","@id":"https://arxiv.org/abs/2309.12871","identifier":"arXiv:2309.12871","url":"https://arxiv.org/abs/2309.12871","sameAs":"https://doi.org/10.48550/arXiv.2309.12871"},"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/card.md","https://huggingbay.xyz/api/trust-bundles/hf-model-sami92-multiling-e5-large-instruct-claim-matching","https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/distribution"],"softwareVersion":"revision 506bc276e967","review":[],"subjectOf":[{"@type":"DigitalDocument","name":"Hugging Bay artifact card","url":"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/card","encodingFormat":"application/json"},{"@type":"DigitalDocument","name":"Hugging Bay artifact card markdown","url":"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/card.md","encodingFormat":"text/markdown"},{"@type":"DigitalDocument","name":"Hugging Bay agent bundle","url":"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/agent-bundle","encodingFormat":"application/json"},{"@type":"DigitalDocument","name":"Hugging Bay trust bundle","url":"https://huggingbay.xyz/api/trust-bundles/hf-model-sami92-multiling-e5-large-instruct-claim-matching","encodingFormat":"application/json"},{"@type":"DigitalDocument","name":"Hugging Bay distribution document","url":"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/distribution","encodingFormat":"application/json"},{"@type":"DigitalDocument","@id":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching#license-provenance-metadata","name":"License and provenance metadata","url":"https://huggingbay.xyz/api/trust-bundles/hf-model-sami92-multiling-e5-large-instruct-claim-matching","description":"Sami92/multiling-e5-large-instruct-claim-matching license, provenance, source scan state, and mirror eligibility metadata. Exact selected bytes complete; runtime not established."},{"@type":"WebAPI","@id":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching#trust-bundle-api","name":"Hugging Bay trust bundle API","url":"https://huggingbay.xyz/api/trust-bundles/hf-model-sami92-multiling-e5-large-instruct-claim-matching","documentation":"https://huggingbay.xyz/api/trust-bundles/hf-model-sami92-multiling-e5-large-instruct-claim-matching","provider":{"@id":"https://huggingbay.xyz/#organization"}},{"@type":"WebAPI","@id":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching#review-summary-api","name":"Hugging Bay review summary API","url":"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/review-summary","documentation":"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/review-summary","provider":{"@id":"https://huggingbay.xyz/#organization"}},{"@type":"WebAPI","@id":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching#distribution-api","name":"Hugging Bay distribution API","url":"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/distribution","documentation":"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/distribution","provider":{"@id":"https://huggingbay.xyz/#organization"}},{"@type":"WebPage","name":"Original upstream source","url":"https://huggingface.co/Sami92/multiling-e5-large-instruct-claim-matching"}],"potentialAction":[{"@type":"ViewAction","name":"Inspect files","target":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching/files"}],"additionalProperty":[{"@type":"PropertyValue","name":"Declared license","value":"cc-by-4.0"},{"@type":"PropertyValue","name":"Pipeline","value":"sentence-similarity"},{"@type":"PropertyValue","name":"Library","value":"sentence-transformers"},{"@type":"PropertyValue","name":"Base model","value":"intfloat/multilingual-e5-large-instruct"},{"@type":"PropertyValue","name":"Task categories","value":"sentence-similarity"},{"@type":"PropertyValue","name":"Languages","value":"de"},{"@type":"PropertyValue","name":"Metrics","value":"cosine_accuracy, cosine_accuracy_threshold, cosine_f1, cosine_f1_threshold, cosine_precision, cosine_recall, cosine_ap, dot_accuracy"},{"@type":"PropertyValue","name":"Paper ids","value":"1908.10084, 2309.12871"},{"@type":"PropertyValue","name":"Model-index entries","value":"SentenceTransformer based on intfloat/multilingual-e5-large-instruct"},{"@type":"PropertyValue","name":"Evaluation signals","value":"8 model-card eval results"},{"@type":"PropertyValue","name":"File hints","value":"16 upstream file samples"},{"@type":"PropertyValue","name":"Hosting status","value":"hosted"},{"@type":"PropertyValue","name":"Hosted files","value":"8"},{"@type":"PropertyValue","name":"Listed files","value":"17"},{"@type":"PropertyValue","name":"Full repo upstream","value":"2.27 GB"},{"@type":"PropertyValue","name":"Full repo upstream in bytes","value":"2269782478","unitCode":"AD"},{"@type":"PropertyValue","name":"Hosted here","value":"8 files, 2.26 GB"},{"@type":"PropertyValue","name":"Hosted size in bytes","value":"2256693885","unitCode":"AD"},{"@type":"PropertyValue","name":"Recommended file","value":"2.24 GB · model.safetensors"},{"@type":"PropertyValue","name":"Recommended file size","value":"2.24 GB"},{"@type":"PropertyValue","name":"Recommended file size in bytes","value":"2239607176","unitCode":"AD"},{"@type":"PropertyValue","name":"License","value":"cc-by-4.0"},{"@type":"PropertyValue","name":"Scan status","value":"passed"},{"@type":"PropertyValue","name":"Trust score","value":"0"},{"@type":"PropertyValue","name":"Trust level","value":"metadata-checked"},{"@type":"PropertyValue","name":"Verified peer-assisted fallbacks","value":"0"},{"@type":"PropertyValue","name":"Files with reviewed peer-assisted fallbacks","value":"0"},{"@type":"PropertyValue","name":"Reviewed peer fallback file records","value":"0"},{"@type":"PropertyValue","name":"Agent bundle","value":"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/agent-bundle"},{"@type":"PropertyValue","name":"Trust bundle","value":"https://huggingbay.xyz/api/trust-bundles/hf-model-sami92-multiling-e5-large-instruct-claim-matching"},{"@type":"PropertyValue","name":"Download completeness state"},{"@type":"PropertyValue","name":"recorded executable state","value":"complete-bytes"},{"@type":"PropertyValue","name":"recorded evidence timestamp","value":"2026-09-24T09:32:00.790Z"},{"@type":"PropertyValue","name":"Selected representation","value":"rep-b7d0524a7f4b0929dde5ed56ec6471bfcba190524e460ca178a2b720360c3af9"},{"@type":"PropertyValue","name":"Run fit","value":"Exact selected bytes complete; runtime not established"},{"@type":"PropertyValue","name":"Runtime footprint","value":"unknown"},{"@type":"PropertyValue","name":"Run-fit warnings","value":"No runtime compatibility or execution status claim is available until recorded evaluation is integrated."}]},{"@type":"FAQPage","@id":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching#faq","dateModified":"2026-09-24","mainEntity":[{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching#faq-what-is-it","name":"What is this model?","acceptedAnswer":{"@type":"Answer","text":"Sami92/multiling-e5-large-instruct-claim-matching is an embedding model for sentence similarity and retrieval published by Sami92, added to Hugging Bay Sep 24, 2026. Model from Hugging Face for sentence similarity: Sami92/multiling-e5-large-instruct-claim-matching · sentence transformers"}},{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching#faq-license","name":"Can I use it commercially?","acceptedAnswer":{"@type":"Answer","text":"It is released under the cc-by-4.0 license. Commercial use is allowed. cc-by-4.0: commercial use, modification, and redistribution are permitted with attribution."}},{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching#faq-size","name":"How big is it?","acceptedAnswer":{"@type":"Answer","text":"Hosted here: 8 files, 2.26 GB. Full repo upstream: 2.27 GB. The recommended download, model.safetensors, is 2.24 GB."}},{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching#faq-download","name":"What can I download here?","acceptedAnswer":{"@type":"Answer","text":"Hosted here: 8 files, 2.26 GB. Full repo upstream: 2.27 GB. The original release is at https://huggingface.co/Sami92/multiling-e5-large-instruct-claim-matching."}},{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching#faq-safety","name":"File pattern scans","acceptedAnswer":{"@type":"Answer","text":"Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/safety on Hugging Bay."}},{"@type":"Question","@id":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching#faq-fit-unknown","name":"Will Sami92/multiling-e5-large-instruct-claim-matching run on my computer?","acceptedAnswer":{"@type":"Answer","text":"We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked."}}]}]},"artifactId":"hf-model-sami92-multiling-e5-large-instruct-claim-matching","serveEvaluationId":"serve-a907a78771ad7c5e73548bb43d396ae3e2b76535c184e28033d931321951e002","artifact":{"cardDescription":"Turns text into vectors for search and similarity matching.","modelSummary":{"schemaVersion":"hugging-bay.model-summary.v1","text":"The catalog lists this model for checking whether two sentences mean similar things.","confidence":"medium","task":"sentence-similarity","audience":null,"basis":"recorded-metadata","rules":["task:sentence-similarity"],"evidence":[{"field":"license","value":"cc-by-4.0"},{"field":"cardMetadata.license","value":"cc-by-4.0"},{"field":"baseModel","value":"intfloat/multilingual-e5-large-instruct"},{"field":"task","value":"sentence-similarity"},{"field":"cardMetadata.pipelineTag","value":"sentence-similarity"}],"caveats":["check-license-terms","base-model-capabilities-not-inherited","repository-bytes-are-not-memory-needs"],"facts":{"license":{"id":"cc-by-4.0","status":"recorded"},"lineage":[{"repo":"intfloat/multilingual-e5-large-instruct","field":"baseModel"}],"parameters":null,"size":{"bytes":2269782478,"scope":"repository","field":"sizeBytes"},"form":"unspecified","runs":[]}},"id":"hf-model-sami92-multiling-e5-large-instruct-claim-matching","repo":"Sami92/multiling-e5-large-instruct-claim-matching","type":"embedding","typeLabel":"Embedding","summary":"Model from Hugging Face for sentence similarity: Sami92/multiling-e5-large-instruct-claim-matching · sentence transformers","description":"External Hugging Face catalog record for Sami92/multiling-e5-large-instruct-claim-matching. Task: sentence similarity. Library: sentence transformers. Languages: de. Base model: intfloat/multilingual-e5-large-instruct. Includes 8 model-card evaluation signals. Popularity signal at import: 89 downloads and 0 likes.","task":"sentence-similarity","modality":"text","framework":"sentence-transformers","formats":["gitattributes","json","md","safetensors","txt","model","html","jpg"],"tags":["huggingface-import","external-catalog","model","cc-by-4.0","sentence-transformers","safetensors","xlm-roberta","sentence-similarity","feature-extraction","generated_from_trainer","dataset_size:51106","loss:angleloss","de","arxiv:1908.10084","arxiv:2309.12871","base_model:intfloat/multilingual-e5-large-instruct","base_model:finetune:intfloat/multilingual-e5-large-instruct","license:cc-by-4.0","model-index","text-embeddings-inference","endpoints_compatible","deploy:azure","region:us","embedding"],"license":"cc-by-4.0","sourceUrl":"https://huggingface.co/Sami92/multiling-e5-large-instruct-claim-matching","upstream":{"gated":false,"repoId":"Sami92/multiling-e5-large-instruct-claim-matching","private":false,"repoUrl":"https://huggingface.co/Sami92/multiling-e5-large-instruct-claim-matching","disabled":false,"provider":"huggingface","repoType":"model","revision":"506bc276e967629068b3b8bc82639f4165dfea81","fetchedAt":"2026-09-24T09:26:51.536Z","importMode":"external-catalog","licenseRaw":"cc-by-4.0"},"cardCompleteness":96,"safetyNotes":["External catalog metadata imported from Hugging Face public API on 2026-09-24T09:26:51.539Z.","Open license detected as cc-by-4.0.","Model-index metadata found for SentenceTransformer based on intfloat/multilingual-e5-large-instruct."],"cardMetadata":{"source":"huggingface-cardData","license":"cc-by-4.0","metrics":["cosine_accuracy","cosine_accuracy_threshold","cosine_f1","cosine_f1_threshold","cosine_precision","cosine_recall","cosine_ap","dot_accuracy","dot_accuracy_threshold","dot_f1","dot_f1_threshold","dot_precision"],"datasets":[],"paperIds":["1908.10084","2309.12871"],"repoType":"model","baseModel":"intfloat/multilingual-e5-large-instruct","languages":["de"],"sourceUrl":"https://huggingface.co/Sami92/multiling-e5-large-instruct-claim-matching","evalResults":[{"task":"Binary Classification","score":"0.9758104058839553","metric":"Cosine Accuracy","verified":false,"benchmark":"FineTuned 8"},{"task":"Binary Classification","score":"0.9067002534866333","metric":"Cosine Accuracy Threshold","verified":false,"benchmark":"FineTuned 8"},{"task":"Binary Classification","score":"0.48869752421959095","metric":"Cosine F1","verified":false,"benchmark":"FineTuned 8"},{"task":"Binary Classification","score":"0.9034577012062073","metric":"Cosine F1 Threshold","verified":false,"benchmark":"FineTuned 8"},{"task":"Binary Classification","score":"0.6735905044510386","metric":"Cosine Precision","verified":false,"benchmark":"FineTuned 8"},{"task":"Binary Classification","score":"0.38344594594594594","metric":"Cosine Recall","verified":false,"benchmark":"FineTuned 8"},{"task":"Binary Classification","score":"0.5012063718756087","metric":"Cosine Ap","verified":false,"benchmark":"FineTuned 8"},{"task":"Binary Classification","score":"0.9758104058839553","metric":"Dot Accuracy","verified":false,"benchmark":"FineTuned 8"}],"libraryName":"sentence-transformers","pipelineTag":"sentence-similarity","cardDataKeys":["base_model","language","library_name","license","metrics","model-index","pipeline_tag","tags","widget"],"semanticText":"sentence-similarity sentence-transformers embedding model de cosine_accuracy cosine_accuracy_threshold cosine_f1 cosine_f1_threshold cosine_precision cosine_recall cosine_ap dot_accuracy dot_accuracy_threshold dot_f1 dot_f1_threshold dot_precision intfloat/multilingual-e5-large-instruct sentencetransformer based on intfloat/multilingual-e5-large-instruct safetensors base_model:intfloat/multilingual-e5-large-instruct base_model:finetune:intfloat/multilingual-e5-large-instruct text-embeddings-inference","semanticTerms":["sentence-similarity","sentence-transformers","embedding","model","de","cosine_accuracy","cosine_accuracy_threshold","cosine_f1","cosine_f1_threshold","cosine_precision","cosine_recall","cosine_ap","dot_accuracy","dot_accuracy_threshold","dot_f1","dot_f1_threshold","dot_precision","intfloat/multilingual-e5-large-instruct","sentencetransformer based on intfloat/multilingual-e5-large-instruct","safetensors","base_model:intfloat/multilingual-e5-large-instruct","base_model:finetune:intfloat/multilingual-e5-large-instruct","text-embeddings-inference"],"siblingSample":[{"lfs":false,"path":".gitattributes","sizeBytes":1570},{"lfs":false,"path":"1_Pooling/config.json","sizeBytes":297},{"lfs":false,"path":"README.md","sizeBytes":49915},{"lfs":false,"path":"config.json","sizeBytes":781},{"lfs":false,"path":"config_sentence_transformers.json","sizeBytes":202},{"lfs":true,"path":"model.safetensors","sizeBytes":2239607176},{"lfs":false,"path":"modules.json","sizeBytes":349},{"lfs":false,"path":"prompt.txt","sizeBytes":1848},{"lfs":false,"path":"sentence_bert_config.json","sizeBytes":53},{"lfs":true,"path":"sentencepiece.bpe.model","sizeBytes":5069051},{"lfs":false,"path":"similarity_histogram.html","sizeBytes":3987084},{"lfs":false,"path":"similarity_histogram.jpg","sizeBytes":124337},{"lfs":false,"path":"special_tokens_map.json","sizeBytes":964},{"lfs":false,"path":"threshold_scores.html","sizeBytes":3648006},{"lfs":false,"path":"threshold_scores.jpg","sizeBytes":206485},{"lfs":true,"path":"tokenizer.json","sizeBytes":17082987},{"lfs":false,"path":"tokenizer_config.json","sizeBytes":1373}],"modelIndexNames":["SentenceTransformer based on intfloat/multilingual-e5-large-instruct"]},"modelCardFacts":{"source":"huggingface-cardData","repoType":"model","sourceUrl":"https://huggingface.co/Sami92/multiling-e5-large-instruct-claim-matching","declaredLicense":"cc-by-4.0","pipelineTag":"sentence-similarity","libraryName":"sentence-transformers","baseModel":"intfloat/multilingual-e5-large-instruct","baseModels":["intfloat/multilingual-e5-large-instruct"],"taskCategories":["sentence-similarity"],"cardTags":[],"languages":["de"],"datasets":[],"metrics":["cosine_accuracy","cosine_accuracy_threshold","cosine_f1","cosine_f1_threshold","cosine_precision","cosine_recall","cosine_ap","dot_accuracy","dot_accuracy_threshold","dot_f1","dot_f1_threshold","dot_precision"],"paperIds":["1908.10084","2309.12871"],"modelIndexNames":["SentenceTransformer based on intfloat/multilingual-e5-large-instruct"],"evalResults":[{"benchmark":"FineTuned 8","metric":"Cosine Accuracy","score":"0.9758104058839553","task":"Binary Classification","verified":false},{"benchmark":"FineTuned 8","metric":"Cosine Accuracy Threshold","score":"0.9067002534866333","task":"Binary Classification","verified":false},{"benchmark":"FineTuned 8","metric":"Cosine F1","score":"0.48869752421959095","task":"Binary Classification","verified":false},{"benchmark":"FineTuned 8","metric":"Cosine F1 Threshold","score":"0.9034577012062073","task":"Binary Classification","verified":false},{"benchmark":"FineTuned 8","metric":"Cosine Precision","score":"0.6735905044510386","task":"Binary Classification","verified":false},{"benchmark":"FineTuned 8","metric":"Cosine Recall","score":"0.38344594594594594","task":"Binary Classification","verified":false},{"benchmark":"FineTuned 8","metric":"Cosine Ap","score":"0.5012063718756087","task":"Binary Classification","verified":false},{"benchmark":"FineTuned 8","metric":"Dot Accuracy","score":"0.9758104058839553","task":"Binary Classification","verified":false}],"siblingSample":[{"path":".gitattributes","sizeBytes":1570,"lfs":false},{"path":"1_Pooling/config.json","sizeBytes":297,"lfs":false},{"path":"README.md","sizeBytes":49915,"lfs":false},{"path":"config.json","sizeBytes":781,"lfs":false},{"path":"config_sentence_transformers.json","sizeBytes":202,"lfs":false},{"path":"model.safetensors","sizeBytes":2239607176,"lfs":true},{"path":"modules.json","sizeBytes":349,"lfs":false},{"path":"prompt.txt","sizeBytes":1848,"lfs":false},{"path":"sentence_bert_config.json","sizeBytes":53,"lfs":false},{"path":"sentencepiece.bpe.model","sizeBytes":5069051,"lfs":true},{"path":"similarity_histogram.html","sizeBytes":3987084,"lfs":false},{"path":"similarity_histogram.jpg","sizeBytes":124337,"lfs":false},{"path":"special_tokens_map.json","sizeBytes":964,"lfs":false},{"path":"threshold_scores.html","sizeBytes":3648006,"lfs":false},{"path":"threshold_scores.jpg","sizeBytes":206485,"lfs":false},{"path":"tokenizer.json","sizeBytes":17082987,"lfs":true}],"semanticTerms":["sentence-similarity","sentence-transformers","embedding","model","de","cosine_accuracy","cosine_accuracy_threshold","cosine_f1","cosine_f1_threshold","cosine_precision","cosine_recall","cosine_ap","dot_accuracy","dot_accuracy_threshold","dot_f1","dot_f1_threshold","dot_precision","intfloat/multilingual-e5-large-instruct","sentencetransformer based on intfloat/multilingual-e5-large-instruct","safetensors","base_model:intfloat/multilingual-e5-large-instruct","base_model:finetune:intfloat/multilingual-e5-large-instruct","text-embeddings-inference"],"cardDataKeys":["base_model","language","library_name","license","metrics","model-index","pipeline_tag","tags","widget"],"coverage":{"rawKeyCount":17,"normalizedFields":11,"hasDeclaredLicense":true,"hasPipeline":true,"hasLibrary":true,"hasBaseModel":true,"hasLanguages":true,"hasDatasets":false,"hasMetrics":true,"hasPapers":true,"hasModelIndex":true,"hasEvaluationResults":true,"hasFileHints":true,"hasTaskCategories":true,"hasCardTags":false},"facts":[{"id":"declared-license","label":"Declared license","value":"cc-by-4.0"},{"id":"pipeline","label":"Pipeline","value":"sentence-similarity"},{"id":"library","label":"Library","value":"sentence-transformers"},{"id":"base-model","label":"Base model","value":"intfloat/multilingual-e5-large-instruct"},{"id":"task-categories","label":"Task categories","value":"sentence-similarity"},{"id":"languages","label":"Languages","value":"de"},{"id":"metrics","label":"Metrics","value":"cosine_accuracy, cosine_accuracy_threshold, cosine_f1, cosine_f1_threshold, cosine_precision, cosine_recall, cosine_ap, dot_accuracy"},{"id":"papers","label":"Paper ids","value":"1908.10084, 2309.12871"},{"id":"model-index","label":"Model-index entries","value":"SentenceTransformer based on intfloat/multilingual-e5-large-instruct"},{"id":"evaluations","label":"Evaluation signals","value":"8 model-card eval results"},{"id":"file-hints","label":"File hints","value":"16 upstream file samples"}]},"runtimeFit":{"level":"unknown","label":"recorded runtime state unknown","hardware":"","sizeLabel":"unknown","runners":[],"runtimeFiles":[],"warnings":["No runtime compatibility or execution status claim is available until recorded evaluation is integrated."]},"updatedAt":"2026-09-24T09:32:00.181Z","createdAt":"2026-09-24T09:26:51.539Z","metrics":{"downloads":89,"stars":0,"citations":0,"mirrorDemand":0},"hosting":{"status":"unknown","hostedFiles":8,"externalFiles":9,"totalFiles":17,"fileInventoryAvailable":true,"completeRunnable":null,"verified":null,"downloadStatus":"UNKNOWN","sha256Files":8,"byteVerifiedAt":null,"hosted":null,"downloadReady":null,"downloadable":null,"mirroredFiles":8,"mirroredBytes":2256693885,"readiness":"unknown","obtainReady":null,"runReady":null,"reasonCodes":["inventory-incomplete"],"reason":"The file list is incomplete; model weight availability is unknown.","note":"The file list is incomplete; model weight availability is unknown."},"decentralizedDistribution":{"protocol":"bittorrent-magnet-metadata","verifiedFallbacks":0,"pendingReviewRequests":0,"reviewRequired":true,"policy":"Peer-assisted fallbacks are metadata only until Hugging Bay review confirms source, license, provenance, and safety. Gated/private bypasses are not allowed."},"quality":{"score":96,"items":[{"id":"summary","label":"Summary","status":"passed"},{"id":"description","label":"Description","status":"passed"},{"id":"card-metadata","label":"Model card metadata","status":"passed"},{"id":"license","label":"License","status":"passed"},{"id":"provenance","label":"Provenance","status":"passed"},{"id":"files","label":"File inventory","status":"passed"},{"id":"hosted","label":"Hosted bytes","status":"passed"},{"id":"scan","label":"Scan result","status":"passed"},{"id":"signature","label":"Manifest signature","status":"passed"}]},"signals":{"size":{"known":true,"bytes":2269782478,"label":"2.1 GB","reason":""},"demand":{"mirrorRequests":0,"upstreamDownloads":89,"upstreamStars":0,"label":"89 upstream downloads","basis":"upstream-downloads"},"trust":{"score":0,"level":"metadata-checked","label":"Unknown","qualification":"recorded-state-complete-bytes","trustImpact":"none","checks":[{"id":"license","label":"License","status":"pass","detail":"cc-by-4.0"},{"id":"provenance","label":"Provenance","status":"pass","detail":"Sami92/multiling-e5-large-instruct-claim-matching"},{"id":"scan","label":"Scan","status":"pass","detail":"passed"},{"id":"hosting","label":"Hosted files","status":"warn","detail":"8/17 repository files hosted; selected representation evaluated separately"},{"id":"manifest","label":"Byte manifest integrity","status":"pass","detail":"selected representation is complete-bytes; per-file SHA-256 published (cryptographic signing pending)"}],"strengths":["License: cc-by-4.0","Provenance: Sami92/multiling-e5-large-instruct-claim-matching","Scan: passed","Byte manifest integrity: selected representation is complete-bytes; per-file SHA-256 published (cryptographic signing pending)"],"gaps":["Hosted files: 8/17 repository files hosted; selected representation evaluated separately"]},"readiness":{"score":0,"level":"bytes-complete","hostedFinal":true,"hostedFiles":8,"externalFiles":9,"totalFiles":17},"action":{"id":"download","label":"Download exact selected bytes","detail":"The selected immutable representation is byte-complete; runtime compatibility is not established.","href":"/api/v1/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/download-plan"}},"readiness":"unknown","downloadReady":null,"downloadable":null,"downloadStatus":"UNKNOWN","hostedFileCount":8,"mirroredBytes":2256693885,"readinessCheckedAt":"2026-11-15T14:34:04.188Z","readinessSource":"download-plan","degraded":false,"stale":false,"hosted":null,"hostingStatus":"unknown","publicDownloadableFileCount":8,"serve_verdict":{"can_download":false,"bytes_verified":false,"signature":"signed","freshness":"current","checked_at":"2026-11-15T14:34:04.188Z","evidence_url":"/api/manifests/hf-model-sami92-multiling-e5-large-instruct-claim-matching"},"obtainReady":null,"runReady":null,"reasonCodes":["inventory-incomplete"],"reason":"The file list is incomplete; model weight availability is unknown.","recommendedFile":null},"previewableFiles":[],"actions":{"web":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching","files":"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/files?limit=100","metadata":"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/metadata.json","distribution":"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/distribution","compare":"https://huggingbay.xyz/api/compare?ids=hf-model-sami92-multiling-e5-large-instruct-claim-matching","manifest":"https://huggingbay.xyz/api/manifests/hf-model-sami92-multiling-e5-large-instruct-claim-matching","downloadRows":"https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-sami92-multiling-e5-large-instruct-claim-matching&limit=100","downloadPlan":"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/download-plan","requestMirror":null,"requestDecentralizedFallback":"https://huggingbay.xyz/api/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/decentralized-fallbacks","upstream":"https://huggingface.co/Sami92/multiling-e5-large-instruct-claim-matching"},"badge":{"schemaVersion":"hugging-bay.model-badge.v1","svgUrl":"https://huggingbay.xyz/api/v1/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/badge.svg","href":"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching/run","alt":"Hugging Bay availability for Sami92/multiling-e5-large-instruct-claim-matching","markdown":"[![Hugging Bay availability for Sami92/multiling-e5-large-instruct-claim-matching](https://huggingbay.xyz/api/v1/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/badge.svg)](https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching/run)","html":"<a href=\"https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching/run\"><img src=\"https://huggingbay.xyz/api/v1/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/badge.svg\" alt=\"Hugging Bay availability for Sami92/multiling-e5-large-instruct-claim-matching\"></a>","huggingFaceModelCard":"[![Hugging Bay availability for Sami92/multiling-e5-large-instruct-claim-matching](https://huggingbay.xyz/api/v1/artifacts/hf-model-sami92-multiling-e5-large-instruct-claim-matching/badge.svg)](https://huggingbay.xyz/artifact/hf-model-sami92-multiling-e5-large-instruct-claim-matching/run)","limitations":"The badge shows the live Hugging Bay availability answer for these files. sha256 checked means the hosted bytes matched their recorded SHA-256. The Mac size line is a file-size estimate (file at most 60% of memory), not a runtime guarantee. It is not a safety, license or quality review. Unknown means we could not confirm it right now."},"readiness":"ready","downloadReady":true,"downloadable":true,"downloadStatus":"READY","hostedFileCount":8,"mirroredBytes":2256693885,"readinessCheckedAt":"2026-11-15T14:34:04.188Z","readinessSource":"download-plan","degraded":false,"stale":false,"hosted":true,"hostingStatus":"hosted","publicDownloadableFileCount":8,"availabilityStatus":{"state":"ready","word":"Ready","downloadable":true,"hostedFiles":8,"totalFiles":17,"sha256Files":8,"runReady":false,"commandsAvailable":false,"nextAction":"Download"},"note":{"summary":"Downloadable doesn't mean tested: this record says whether the exact file can be downloaded now, not that the model is complete or that it runs.","downloadable":true},"serve_verdict":{"can_download":true,"bytes_verified":true,"signature":"signed","freshness":"current","checked_at":"2026-11-15T14:34:04.188Z","evidence_url":"/api/manifests/hf-model-sami92-multiling-e5-large-instruct-claim-matching"}}