tiny-random-bitnet safetensors download | Hugging Bay

Q: What is this model?

optimum-intel-internal-testing/tiny-random-bitnet is an open-weights language model for general published by optimum-intel-internal-testing, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for llm: optimum-intel-internal-testing/tiny-random-bitnet · 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: 7 files, 546.2 MB. Full repo upstream: 546.2 MB. The recommended download, model.safetensors, is 529 MB.

Q: What can I download here?

Hosted here: 7 files, 546.2 MB. Full repo upstream: 546.2 MB. The original release is at https://huggingface.co/optimum-intel-internal-testing/tiny-random-bitnet.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 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-bitnet/safety on Hugging Bay.

Q: Will optimum-intel-internal-testing/tiny-random-bitnet 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-bitnet

optimum-intel-internal-testing/tiny-random-bitnet

generalLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face for llm: optimum-intel-internal-testing/tiny-random-bitnet

View as JSON →

7 hosted of 9 listed

Hashes recorded. Date not recorded.

File	Tamaño	SHA-256	Origen	Descargar
Weights
`model.safetensors` Default	529 MB	`62aea7d9…29580c12` `62aea7d94b167b5a328341fc63a5ff1cb16eb5ae796cdeef801bf7fa29580c12`	Hosted	Descargar
Tokenizer & config
`chat_template.jinja`	250 bytes	`dae57a01…ba26fc1b` `dae57a011117d68afc11906cd5bfe7124df8027a2fcfe5134a7184aaba26fc1b`	Hosted	Descargar
`config.json`	734 bytes	`70820181…79c3f272` `7082018161caf09cdebcb15dd876728b02107dd886f8337f9215b3ef79c3f272`	Hosted	Descargar
`generation_config.json`	121 bytes	`5b0129da…61414e08` `5b0129daf193cd606236d3aa9aaa933429c9fc2d5e5bdf32d32aa6b361414e08`	Hosted	Descargar
`special_tokens_map.json`	296 bytes	`6f38c737…28d9a8ec` `6f38c73729248f6c127296386e3cdde96e254636cc58b4169d3fd32328d9a8ec`	Hosted	Descargar
`tokenizer.json`	17.2 MB	`3c5cf440…0bf87393` `3c5cf44023714fb39b05e71e425f8d7b92805ff73f7988b083b8c87f0bf87393`	Hosted	Descargar
`tokenizer_config.json`	50.6 KB	`408a4ae7…bb800697` `408a4ae795361a94e75fe0fde2b719011bfd123c703ffd228cff2d1bbb800697`	Hosted	Descargar
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	31 bytes	—	Upstream only	File metadata

Comprobar una descarga

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.

tiny-random-bitnet

Comprobar una descarga

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