e5-small safetensors download (133 MB) | Hugging Bay

Q: What is this model?

intfloat/e5-small 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-small · 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: 12 files, 400.8 MB. Full repo upstream: 400.8 MB. The recommended download, model.safetensors, is 133.5 MB.

Q: What can I download here?

Hosted here: 12 files, 400.8 MB. Full repo upstream: 400.8 MB. The original release is at https://huggingface.co/intfloat/e5-small.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 12 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-intfloat-e5-small/safety on Hugging Bay.

Q: Will intfloat/e5-small 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-small

intfloat/e5-small

Model details

sentence similarity and retrievalLicense: mitHashes recordedONNX · safetensors · BIN

Content controls: not assessed.

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

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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-small/model.safetensors",
    "model.safetensors",
)

Other ways

12 hosted of 13 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors133 MB · 1 file Download · 133 MB (1 file)

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12 hosted of 13 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	133.5 MB	`0e4a057e…075e2031` `0e4a057e563dbc864f4b185928e7a925975bead9893c7a22c84fd224075e2031`	Hosted	Download
`model.onnx`	133.1 MB	`96ec5952…9dfcda0c` `96ec59525cd3b8ede24f5517c89188354c46f347d60fb9566b0dd4ea9dfcda0c`	Hosted	Download
`pytorch_model.bin`	133.5 MB	`9472cafc…11ea8e33` `9472cafc9901ac8c8f8d75f492398797020111dd5c8c4af142ab4bf211ea8e33`	Hosted	Download
Tokenizer & config
`1_Pooling/config.json`	200 bytes	`987f7a67…aebb12a0` `987f7a67a38fa564c849bb5d277c52ab9088a84368fc0be31a354125aebb12a0`	Hosted	Download
`config.json`	641 bytes	`f656aaad…7556c41d` `f656aaad4f744684502111ee8b37de67f9a58fdf947dfca698a9ab557556c41d`	Hosted	Download
`modules.json`	387 bytes	`c6e29747…5f902b04` `c6e29747481e8b5dd2b58401966aeac910de39092f90cda9a704b1545f902b04`	Hosted	Download
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	Download
`special_tokens_map.json`	112 bytes	`303df45a…5ec200e3` `303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3`	Hosted	Download
`tokenizer.json`	466.1 KB	`5fd1c882…d9de550b` `5fd1c882abbd30517dced455a2c9768945ec726b96727927e4959348d9de550b`	Hosted	Download
`tokenizer_config.json`	362 bytes	`f0203972…a11e75ae` `f02039728f958aa8076c3e19b4881232579e4676242f6b9182b0d60ea11e75ae`	Hosted	Download
`vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Hosted	Download
Docs
`.gitattributes`	1.48 KB	`db7c0371…b8fae5a6` `db7c0371f46f0840b8f25794c1e3321c9b5820a8cb6ba9694a46fc64b8fae5a6`	Upstream only	File metadata
`README.md`	68 KB	`bfd69043…c9896ed6` `bfd69043c612228e9a4403b2a76d2ac7e4607101f9c4a1e07cd2e50fc9896ed6`	Hosted	Download

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e5-small

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