multilingual-e5-large safetensors download | Hugging Bay

Q: What is this model?

intfloat/multilingual-e5-large is an embedding model for text embeddings published by intfloat, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for feature extraction: intfloat/multilingual-e5-large · sentence transformers

Q: Can I use it commercially?

It is released under the mit license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 29 listed files; full count and size unknown. Full repo upstream: 9.56 GB. The recommended download, model.safetensors, is 2.24 GB.

Q: What can I download here?

Hosted here: at least 29 listed files; full count and size unknown. Full repo upstream: 9.56 GB. The original release is at https://huggingface.co/intfloat/multilingual-e5-large.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 29 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-intfloat-multilingual-e5-large/safety on Hugging Bay.

Q: Will intfloat/multilingual-e5-large run on my computer?

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.

intfloat

multilingual-e5-large

intfloat/multilingual-e5-large

text embeddingsLicense: mitHashes recordedsafetensors · ONNX · BIN

Content controls: not assessed.

Model from Hugging Face for feature extraction: intfloat/multilingual-e5-large · sentence transformers

View as JSON →

29 hosted of 44 listed

Hashes recorded. Date not recorded.

File	大小	SHA-256	来源	下载
Weights
`model.safetensors` Default	2.24 GB	`020afdeb…0a21def6` `020afdebf2762b29fcaf286629a96c3b3b65af241f6a08226b1cfee60a21def6`	Hosted	下载
`onnx/model.onnx_data`	2.24 GB	`0cf1883f…0623d15c` `0cf1883fee81c63819a44e2ba0efa51d4043d9759685a4ebebbde97e0623d15c`	Hosted	下载
`onnx/model_qint8_avx512_vnni.onnx`	561.8 MB	`46f5d13d…f6fedff1` `46f5d13dba7ade0160c67d346087d870162950882be17ff9319f873cf6fedff1`	Hosted	下载
`openvino/openvino_model.bin`	2.24 GB	`12e75630…b4836860` `12e75630d2f0e70c3868caf3bff015ae607171cfc3ae2f3ed9269c16b4836860`	Hosted	下载
`pytorch_model.bin`	2.24 GB	`9aaa222c…b3126d64` `9aaa222c5a6529ae4a69ab6925c863af595d106edf565434c8280777b3126d64`	Hosted	下载
Tokenizer & config
`.eval_results/ArguAna.yaml`	575 bytes	`eaded82e…e32cb945` `eaded82e0890726ed32c452826124b4de9bdebefe7eb261152b96d4ce32cb945`	Hosted	下载
`.eval_results/BrightAopsRetrieval.yaml`	641 bytes	`78c57049…0271d26d` `78c570492ca871a3dfd8d78e85d03085f22fa247ce6927f21c27e1880271d26d`	Hosted	下载
`.eval_results/BrightBiologyLongRetrieval.yaml`	651 bytes	`9d5ee1d8…0d68625c` `9d5ee1d8facbfc2de38e707776979fea331158aadf300cccaba1f34b0d68625c`	Hosted	下载
`.eval_results/BrightBiologyRetrieval.yaml`	647 bytes	`21d31e15…9322f88c` `21d31e15e9e1ea13a77c8351e07bfa3e3f1471cc05cbda13c75cb2749322f88c`	Hosted	下载
`.eval_results/BrightEarthScienceLongRetrieval.yaml`	663 bytes	`543f687c…aa117dbc` `543f687c9d340c70f4fd4b2d8f53916b37a480c179c2b4b1b12a02d2aa117dbc`	Hosted	下载
`.eval_results/BrightEarthScienceRetrieval.yaml`	659 bytes	`df299b9a…79fd1871` `df299b9a6bf3ae1daf340f484bf15212dc2184ae9f23d6cadd68cfef79fd1871`	Hosted	下载
`.eval_results/BrightEconomicsLongRetrieval.yaml`	657 bytes	`75d03dbd…af205c52` `75d03dbd307cc36829ee224e523d6acb46c9db0dc8ab559a79f9329caf205c52`	Hosted	下载
`.eval_results/BrightEconomicsRetrieval.yaml`	651 bytes	`86467728…49ad7069` `86467728b50aaa63e5e4b797627611af00dba3924c76b37346dc667a49ad7069`	Hosted	下载
`.eval_results/BrightLeetcodeRetrieval.yaml`	651 bytes	`30982b9e…e6598964` `30982b9ecf5007e5c0167b4bbb2d8dfc6cbd78d9b9c0e0d394cb559ee6598964`	Hosted	下载
`.eval_results/BrightPonyLongRetrieval.yaml`	645 bytes	`477837d9…153387b7` `477837d98b6dbf9ae77876716ee64382a624617fce589943cc841683153387b7`	Hosted	下载
`.eval_results/BrightPonyRetrieval.yaml`	643 bytes	`17180ac7…1ff8b72b` `17180ac7291d57b11bebf2f4e1837b5999a272c5be06c06ac046e18b1ff8b72b`	Hosted	下载
`.eval_results/BrightPsychologyLongRetrieval.yaml`	657 bytes	`4b63b2f2…43867bb7` `4b63b2f2538ad4729dce05a8528c2c37490daad0cb962bf75725e53143867bb7`	Hosted	下载
`.eval_results/BrightPsychologyRetrieval.yaml`	653 bytes	`b753d587…d80ce7b4` `b753d587b484dd518ed13434370cc0bcd335cc1a1f988728fda24c55d80ce7b4`	Hosted	下载
`.eval_results/BrightRoboticsLongRetrieval.yaml`	653 bytes	`af405dfc…112f9c81` `af405dfc94d800e5fa57be491941fa70f7dd9aa866575c6db1d40b3b112f9c81`	Hosted	下载
`.eval_results/BrightRoboticsRetrieval.yaml`	651 bytes	`c034d1ea…fb975aca` `c034d1ea6d644338a53f891b89be4b4ff461359abc9c9f96a687cbfdfb975aca`	Hosted	下载
`.eval_results/BrightStackoverflowLongRetrieval.yaml`	665 bytes	`123d58ef…19a89ba1` `123d58efe2db21dc6ddddefabc587c955a6486c36df03348f950674019a89ba1`	Hosted	下载
`.eval_results/BrightStackoverflowRetrieval.yaml`	659 bytes	`51a8a271…e121184f` `51a8a2714545bbc10c100a90aa1decc9b2c1a40f8b28c3c941a03aebe121184f`	Hosted	下载
`.eval_results/BrightSustainableLivingLongRetrieval.yaml`	671 bytes	`34c05fd7…6dfbdd39` `34c05fd7ca8231b7d3c6ee7e753bb5571d8fa9443be43c5911f2efdc6dfbdd39`	Hosted	下载
`.eval_results/BrightSustainableLivingRetrieval.yaml`	667 bytes	`327ff736…e1328c3a` `327ff736cfcc498f31c029fc7e353f3d4c792f31efe0c7b062759487e1328c3a`	Hosted	下载
`.eval_results/BrightTheoremQAQuestionsRetrieval.yaml`	671 bytes	`fb4a4dc0…23c0dd78` `fb4a4dc0657994d2725944eff097805ae9199d3870edcabfcdd191e623c0dd78`	Hosted	下载
`.eval_results/BrightTheoremQATheoremsRetrieval.yaml`	667 bytes	`4e4ff419…65747706` `4e4ff41902e569e27ca3ac93e0799b4b51b07a5d081b6bed1250b60765747706`	Hosted	下载
`1_Pooling/config.json`	201 bytes	`56c469db…b31d62d1` `56c469dba9e31869bb7dfceb9b3d76ac06549d1ba869509d8eb4e8aeb31d62d1`	Upstream only	File metadata
`config.json`	690 bytes	`e42d98d0…0c9ce5ca` `e42d98d0c211928d788467aa951000391017f647c76ca8ce2ef6dd8d0c9ce5ca`	Upstream only	File metadata
`modules.json`	387 bytes	`c6e29747…5f902b04` `c6e29747481e8b5dd2b58401966aeac910de39092f90cda9a704b1545f902b04`	Upstream only	File metadata
`onnx/config.json`	688 bytes	`513fe5e3…3afa7710` `513fe5e3d0e6d2fa441b6bd2145b20ae82158e9fdd08df9d5405db283afa7710`	Hosted	下载
`onnx/model.onnx`	545.9 KB	`bb5a5250…84683c05` `bb5a52503a3ef35247f5b5ae6c473aaae60505dd3ffaef56d7b69e2f84683c05`	Upstream only	File metadata
`onnx/model_O4.onnx`	80.6 KB	`d87e57e5…c5657281` `d87e57e558b374601d53da5eb27dbc167c902c6d840274537c704ff1c5657281`	Hosted	下载
`onnx/sentencepiece.bpe.model`	5.07 MB	`cfc8146a…e0db2865` `cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865`	Upstream only	File metadata
`onnx/special_tokens_map.json`	280 bytes	`06e405a3…6318067f` `06e405a36dfe4b9604f484f6a1e619af1a7f7d09e34a8555eb0b77b66318067f`	Upstream only	File metadata
`onnx/tokenizer.json`	17.1 MB	`62c24cdc…bbb75626` `62c24cdc13d4c9952d63718d6c9fa4c287974249e16b7ade6d5a85e7bbb75626`	Upstream only	File metadata
`onnx/tokenizer_config.json`	418 bytes	`efb5c0d0…3216da15` `efb5c0d09722e5fe59a462cd2a9976ee216d55b037597d997cd3fe833216da15`	Upstream only	File metadata
`openvino/openvino_model.xml`	712.9 KB	`a94e220a…4957b5a3` `a94e220a4cdfab724f6279bd82137b90576305e0ce361a703d5bd6d34957b5a3`	Hosted	下载
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Upstream only	File metadata
`sentencepiece.bpe.model`	5.07 MB	`cfc8146a…e0db2865` `cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865`	Upstream only	File metadata
`special_tokens_map.json`	280 bytes	`06e405a3…6318067f` `06e405a36dfe4b9604f484f6a1e619af1a7f7d09e34a8555eb0b77b66318067f`	Upstream only	File metadata
`tokenizer.json`	17.1 MB	`62c24cdc…bbb75626` `62c24cdc13d4c9952d63718d6c9fa4c287974249e16b7ade6d5a85e7bbb75626`	Upstream only	File metadata
`tokenizer_config.json`	418 bytes	`efb5c0d0…3216da15` `efb5c0d09722e5fe59a462cd2a9976ee216d55b037597d997cd3fe833216da15`	Upstream only	File metadata
Docs
`.gitattributes`	1.63 KB	`7363a8eb…22707b9a` `7363a8ebd782ede400e72bb3e88c19248478eb6f280a7376d398fc2f22707b9a`	Upstream only	File metadata
`README.md`	160 KB	`7d7af148…7066e43f` `7d7af14813a22388e183b0ac3276e13887c7eb644d0a13af7c6252217066e43f`	Upstream only	File metadata

检查下载文件

In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

multilingual-e5-large

检查下载文件

Cookies