e5-base safetensors download (438 MB) | Hugging Bay

Q: What is this model?

intfloat/e5-base is an embedding model for sentence similarity and retrieval published by intfloat, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for sentence similarity: intfloat/e5-base · 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, 876.7 MB. Full repo upstream: 876.7 MB. The recommended download, model.safetensors, is 438 MB.

Q: What can I download here?

Hosted here: 11 files, 876.7 MB. Full repo upstream: 876.7 MB. The original release is at https://huggingface.co/intfloat/e5-base.

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-base/safety on Hugging Bay.

Q: Will intfloat/e5-base 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-base

intfloat/e5-base

sentence similarity and retrievalLicense: mitHashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for sentence similarity: intfloat/e5-base · sentence transformers

View as JSON →

11 hosted of 12 listed

Hashes recorded. Date not recorded.

File	Tamaño	SHA-256	Origen	Descargar
Weights
`model.safetensors` Default	438 MB	`1661c4d3…8dd34a02` `1661c4d3b0de6a7e37821bcbab5f066c3499346e05cae7918094b0cd8dd34a02`	Hosted	Descargar
`pytorch_model.bin`	438 MB	`bd623a40…6b5de637` `bd623a40c8b841b7c99a464e32e6629d19935a52d123d1ebda7b26606b5de637`	Hosted	Descargar
Tokenizer & config
`1_Pooling/config.json`	200 bytes	`f586ab6c…3af13d75` `f586ab6c734af7b8d14d898bfa7faa886f23b46f86dd1730514309893af13d75`	Hosted	Descargar
`config.json`	645 bytes	`bb65cea5…307fa860` `bb65cea558da1083523df83cdbcd3f909fef25d1d57618e90859dc37307fa860`	Hosted	Descargar
`modules.json`	387 bytes	`c6e29747…5f902b04` `c6e29747481e8b5dd2b58401966aeac910de39092f90cda9a704b1545f902b04`	Hosted	Descargar
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	Descargar
`special_tokens_map.json`	112 bytes	`303df45a…5ec200e3` `303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3`	Hosted	Descargar
`tokenizer.json`	466.1 KB	`5fd1c882…d9de550b` `5fd1c882abbd30517dced455a2c9768945ec726b96727927e4959348d9de550b`	Hosted	Descargar
`tokenizer_config.json`	356 bytes	`fd874381…8c9e5d62` `fd8743815b4c0eb0b0fa63ffefc41e669f9bd97325262602ad4111798c9e5d62`	Hosted	Descargar
`vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Hosted	Descargar
Docs
`.gitattributes`	1.48 KB	`db7c0371…b8fae5a6` `db7c0371f46f0840b8f25794c1e3321c9b5820a8cb6ba9694a46fc64b8fae5a6`	Upstream only	File metadata
`README.md`	67.6 KB	`52c37495…c4570c93` `52c37495eca95e0f573e512419027b213737cf3cc3fbd4956fb3686fc4570c93`	Hosted	Descargar

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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

Compare the result with the recorded SHA-256.

e5-base

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