e5basev2 safetensors download (438 MB) | Hugging Bay

Q: What is this model?

SRA25/e5basev2 is an embedding model for sentence similarity and retrieval published by SRA25, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: SRA25/e5basev2

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: 10 files, 439 MB. The full repository size is not recorded. The recommended download, model.safetensors, is 438 MB.

Q: What can I download here?

Hosted here: 10 files, 439 MB. Full repo upstream: unknown. The original release is at https://huggingface.co/SRA25/e5basev2.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 10 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-sra25-e5basev2/safety on Hugging Bay.

Q: Will SRA25/e5basev2 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.

SRA25

e5basev2

SRA25/e5basev2

Model details

sentence similarity and retrievalLicense: mitSHA-256 recorded for 10 of 11 filessafetensors

Content controls: not assessed.

The catalog lists this model for checking whether two sentences mean similar things. Catalog sources: license, task.

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-sra25-e5basev2/model.safetensors",
    "model.safetensors",
)

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

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

Selected downloadmodel.safetensors438 MB · 1 file Download · 438 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

Compare your file’s SHA-256 with the recorded hash.

10 hosted of 11 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	438 MB	`d0d559c4…e6a8f693` `d0d559c47d5f71b1d280b13b62a2657f3e3bc70c0786f9ab91a36545e6a8f693`	Hosted	Baixar
Tokenizer & config
`1_Pooling/config.json`	206 bytes	`d4264a0c…8f816f5a` `d4264a0c799eec48cc840adaae68925e664d4215f77fb17a17484f628f816f5a`	Hosted	Baixar
`config.json`	676 bytes	`a53a2db6…347062e9` `a53a2db648e218659224fa60d7a9c246b24016672caaa68bdad21aa7347062e9`	Hosted	Baixar
`modules.json`	406 bytes	`48ead7b8…c9831642` `48ead7b88bcce0689bd1d95d94deb8d40cc0cfbb860d53f67e45bc39c9831642`	Hosted	Baixar
`sentence_bert_config.json`	60 bytes	`9e8f7a3c…545aea10` `9e8f7a3ce4e41e26223ea64077e952095912526b1cb0fc2a81da5166545aea10`	Hosted	Baixar
`special_tokens_map.json`	132 bytes	`3c3507f3…b2c94dd6` `3c3507f36dff57bce437223db3b3081d1e2b52ec3e56ee55438193ecb2c94dd6`	Hosted	Baixar
`tokenizer.json`	742.1 KB	`ffb28886…f8a0545a` `ffb28886478b9b17a8c06f4fe6741b970d5dd3de13330ccc3b9f686df8a0545a`	Hosted	Baixar
`tokenizer_config.json`	327 bytes	`a8d9d4c2…2624eaf6` `a8d9d4c2a46f426c4cee05d174902a2b3796896375314f1c32a9c4fc2624eaf6`	Hosted	Baixar
`vocab.txt`	262 KB	`b49e8087…eef3fe0f` `b49e80874c5efbc7f4cde245a812673b05ef1360ced56b8bc8c750eaeef3fe0f`	Hosted	Baixar
Docs
`README.md`	70.3 KB	`a1bb989b…5133f8cb` `a1bb989bba25a4ad7a3fd12578a5c61dcfaa78bc240c05a7ed56c86f5133f8cb`	Hosted	Baixar
`.gitattributes`	0 bytes	—	Upstream only	File metadata

Verificar um download

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.

e5basev2

Verificar um download

Cookies