Open-Reasoner-Zero-7B safetensors download | Hugging Bay

Q: What is this model?

Open-Reasoner-Zero/Open-Reasoner-Zero-7B is an open-weights language model for reinforcement learning published by Open-Reasoner-Zero, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for reinforcement learning: Open-Reasoner-Zero/Open-Reasoner-Zero-7B · 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?

Open-Reasoner-Zero/Open-Reasoner-Zero-7B has 7B parameters. Hosted here: 15 files, 15.2 GB. Full repo upstream: 15.2 GB. The recommended download, a 4-file weight set, is 15.2 GB.

Q: What can I download here?

Hosted here: 15 files, 15.2 GB. Full repo upstream: 15.2 GB. The original release is at https://huggingface.co/Open-Reasoner-Zero/Open-Reasoner-Zero-7B.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 15 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-open-reasoner-zero-open-reasoner-zero-7b/safety on Hugging Bay.

Q: Will Open-Reasoner-Zero/Open-Reasoner-Zero-7B 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.

Open-Reasoner-Zero

Open-Reasoner-Zero-7B

Open-Reasoner-Zero/Open-Reasoner-Zero-7B

Model details

reinforcement learningLicense: mitSHA-256 recorded for 18 of 19 filessafetensors

Content controls: not assessed.

Listed for generating text; for developers building text generation tools. Catalog sources: license, cardMetadata.license, tags.

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