esm2_t30_150M_UR50D safetensors download | Hugging Bay

Q: What is this model?

facebook/esm2_t30_150M_UR50D is an open-weights language model for masked-language modeling published by facebook, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for fill mask: facebook/esm2_t30_150M_UR50D · 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?

facebook/esm2_t30_150M_UR50D has 150M parameters. Hosted here: 8 files, 1.78 GB. Full repo upstream: 1.78 GB. The recommended download, model.safetensors, is 595.3 MB.

Q: What can I download here?

Hosted here: 8 files, 1.78 GB. Full repo upstream: 1.78 GB. The original release is at https://huggingface.co/facebook/esm2_t30_150M_UR50D.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-facebook-esm2-t30-150m-ur50d/safety on Hugging Bay.

Q: Will facebook/esm2_t30_150M_UR50D 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.

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esm2_t30_150M_UR50D

facebook/esm2_t30_150M_UR50D

masked-language modelingLicense: mitHashes recordedsafetensors · BIN · H5

Content controls: not assessed.

Model from Hugging Face for fill mask: facebook/esm2_t30_150M_UR50D · transformers

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esm2_t30_150M_UR50D

Machine-readable artifact endpoints

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