herbert safetensors download (409 MB) | Hugging Bay

Q: What is this model?

Chengfengke/herbert is an open-weights language model for masked-language modeling published by Chengfengke, added to Hugging Bay Sep 24, 2026. Model from Hugging Face for fill mask: Chengfengke/herbert · unknown

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 6 listed files; full count and size unknown. Full repo upstream: 409.3 MB. The recommended download, model.safetensors, is 409.2 MB.

Q: What can I download here?

Hosted here: at least 6 listed files; full count and size unknown. Full repo upstream: 409.3 MB. The original release is at https://huggingface.co/Chengfengke/herbert.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 6 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-chengfengke-herbert/safety on Hugging Bay.

Q: Will Chengfengke/herbert 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.

Chengfengke

herbert

Chengfengke/herbert

masked-language modelingLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face for fill mask: Chengfengke/herbert

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Machine-readable artifact endpoints

Agent metadata JSON
Card JSON
Card Markdown
Distribution API
Reviewed peer fallbacks API
Files API
Reviews API
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herbert

Machine-readable artifact endpoints

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