sciembed-full safetensors download (596 MB) | Hugging Bay

Q: What is this model?

anon-nlp/sciembed-full is an embedding model for text embeddings published by anon-nlp, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: anon-nlp/sciembed-full

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, 599.7 MB. The full repository size is not recorded. The recommended download, model.safetensors, is 596.1 MB.

Q: What can I download here?

Hosted here: 10 files, 599.7 MB. Full repo upstream: unknown. The original release is at https://huggingface.co/anon-nlp/sciembed-full.

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-anon-nlp-sciembed-full/safety on Hugging Bay.

Q: Will anon-nlp/sciembed-full 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.

anon-nlp

sciembed-full

anon-nlp/sciembed-full

text embeddingsLicense: mitHashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face: anon-nlp/sciembed-full

View as JSON →

10 hosted of 11 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	596.1 MB	`894d09af…2b829f31` `894d09af19a6e2dff36a924c114ad46c354d7399adbf0bb7a49a7e612b829f31`	Hosted	Herunterladen
Tokenizer & config
`1_Pooling/config.json`	312 bytes	`35bbd47d…cc8ebcc6` `35bbd47d7fdf1e378db6130bcc668b09d1aa67a7bbf7c8f89a9c71f4cc8ebcc6`	Hosted	Herunterladen
`config.json`	1.21 KB	`f295786e…0f70a9dd` `f295786e36cabd2023fd17bbf048f355926bb80a9ced63d22826f3310f70a9dd`	Hosted	Herunterladen
`config_sentence_transformers.json`	283 bytes	`4e30d5e9…52e4ca66` `4e30d5e9800534a1d1511c69f7d29a0136604b7eec257a8290e552af52e4ca66`	Hosted	Herunterladen
`modules.json`	229 bytes	`8f4b264b…b3145460` `8f4b264b80206c830bebbdcae377e137925650a433b689343a63bdc9b3145460`	Hosted	Herunterladen
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	Herunterladen
`special_tokens_map.json`	694 bytes	`ea97ecdb…1be81049` `ea97ecdbcc73713039d8d64dbb05e3689495c96657fbd9a18f5bed381be81049`	Hosted	Herunterladen
`tokenizer.json`	3.58 MB	`3703d011…28f8f09e` `3703d011b3ee259e00b59b60772f8fd54998d79e8fa5a1388d507eff28f8f09e`	Hosted	Herunterladen
`tokenizer_config.json`	20.8 KB	`c5a7dfd4…e0ff1c17` `c5a7dfd44d93c5d7ed9b2ddcd7a6018e935ec7d53f1de45910ea9868e0ff1c17`	Hosted	Herunterladen
Docs
`README.md`	1.4 KB	`344d20cc…8794ac06` `344d20cc61f0bd903b2e491bf93836f8986ed1eb6066b7b38e840a668794ac06`	Hosted	Herunterladen
`.gitattributes`	0 bytes	—	Upstream only	File metadata

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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.

sciembed-full

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