tiny-random-olmo-hf safetensors download | Hugging Bay

Q: What is this model?

optimum-intel-internal-testing/tiny-random-olmo-hf is an open-weights language model for general published by optimum-intel-internal-testing, added to Hugging Bay Sep 21, 2026. Model from Hugging Face for llm: optimum-intel-internal-testing/tiny-random-olmo-hf · unknown

Q: Can I use it commercially?

License: unknown. Check the upstream license text or ask the model author before commercial use.

Q: How big is it?

Hosted here: 6 files, 28.3 MB. Full repo upstream: 28.3 MB. The recommended download, model.safetensors, is 26.2 MB.

Q: What can I download here?

Hosted here: 6 files, 28.3 MB. Full repo upstream: 28.3 MB.

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-optimum-intel-internal-testing-tiny-random-olmo-hf/safety on Hugging Bay.

Q: Will optimum-intel-internal-testing/tiny-random-olmo-hf 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.

optimum-intel-internal-testing

tiny-random-olmo-hf

optimum-intel-internal-testing/tiny-random-olmo-hf

Model details

generalLicense: unknownSHA-256 recorded for 6 of 7 filessafetensors

Content controls: not assessed.

Not enough information to say what this model is for or who should use it. Catalog source: unknown.

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-optimum-intel-internal-testing-tiny-random-olmo-hf/model.safetensors",
    "model.safetensors",
)

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6 hosted of 7 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors26 MB · 1 file Download · 26 MB (1 file)

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Content controls: not assessed.

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