e5-large-unsupervised safetensors download | Hugging Bay

Q: What is this model?

intfloat/e5-large-unsupervised is an embedding model for sentence similarity and retrieval published by intfloat, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for sentence similarity: intfloat/e5-large-unsupervised · 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: 11 files, 2.68 GB. Full repo upstream: 2.68 GB. The recommended download, model.safetensors, is 1.34 GB.

Q: What can I download here?

Hosted here: 11 files, 2.68 GB. Full repo upstream: 2.68 GB. The original release is at https://huggingface.co/intfloat/e5-large-unsupervised.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 11 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-intfloat-e5-large-unsupervised/safety on Hugging Bay.

Q: Will intfloat/e5-large-unsupervised 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

e5-large-unsupervised

intfloat/e5-large-unsupervised

Model details

sentence similarity and retrievalLicense: mitHashes recordedsafetensors · BIN

Content controls: not assessed.

Listed for comparing sentences; for developers building text similarity tools. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

View as JSON →

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-intfloat-e5-large-unsupervised/model.safetensors",
    "model.safetensors",
)

Other ways

11 hosted of 12 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors1.34 GB · 1 file Download · 1.34 GB (1 file)

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Signed by the harbor

11 hosted of 12 listed

Hashes recorded. Date not recorded.

File	大小	SHA-256	来源	下载
Weights
`model.safetensors` Default	1.34 GB	`bd820d56…7ea39dab` `bd820d565824eb2c9de67976054ccd2d627968af8eb40b25676068a97ea39dab`	Hosted	下载
`pytorch_model.bin`	1.34 GB	`8c9e11de…fffd5117` `8c9e11de6bbf725afdd0511ebe86b4d25ac28e027046cd537b8038e7fffd5117`	Hosted	下载
Tokenizer & config
`1_Pooling/config.json`	201 bytes	`56c469db…b31d62d1` `56c469dba9e31869bb7dfceb9b3d76ac06549d1ba869509d8eb4e8aeb31d62d1`	Hosted	下载
`config.json`	675 bytes	`905fdfe7…3a6df3ec` `905fdfe797d7af20ae0d847d92fca381556363353fba8b476e1e23df3a6df3ec`	Hosted	下载
`modules.json`	387 bytes	`c6e29747…5f902b04` `c6e29747481e8b5dd2b58401966aeac910de39092f90cda9a704b1545f902b04`	Hosted	下载
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	下载
`special_tokens_map.json`	112 bytes	`303df45a…5ec200e3` `303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3`	Hosted	下载
`tokenizer.json`	466.1 KB	`5fd1c882…d9de550b` `5fd1c882abbd30517dced455a2c9768945ec726b96727927e4959348d9de550b`	Hosted	下载
`tokenizer_config.json`	372 bytes	`2a73cd30…ae12c8ac` `2a73cd30aef2abded183d7a0f44abb73b61fc3e14ea79d96b5fa4498ae12c8ac`	Hosted	下载
`vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Hosted	下载
Docs
`.gitattributes`	1.48 KB	`db7c0371…b8fae5a6` `db7c0371f46f0840b8f25794c1e3321c9b5820a8cb6ba9694a46fc64b8fae5a6`	Upstream only	File metadata
`README.md`	5.09 KB	`66ae3bae…e06ad7e0` `66ae3bae00106b6b5ac0cc1864529d5ce3fe4de84a66c2f41812ba99e06ad7e0`	Hosted	下载

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

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shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

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

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e5-large-unsupervised

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