tiny-random-granite-moe safetensors download | Hugging Bay

Q: What is this model?

optimum-intel-internal-testing/tiny-random-granite-moe 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-granite-moe · 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: 7 files, 16.7 MB. Full repo upstream: 17.9 MB. The recommended download, model.safetensors, is 13.2 MB.

Q: What can I download here?

Hosted here: 7 files, 16.7 MB. Full repo upstream: 17.9 MB.

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-granite-moe/safety on Hugging Bay.

Q: Will optimum-intel-internal-testing/tiny-random-granite-moe 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-granite-moe

optimum-intel-internal-testing/tiny-random-granite-moe

Model details

generalLicense: unknownSHA-256 recorded for 7 of 10 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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Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

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

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerApp links support one GGUF file.

7 hosted of 10 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors13 MB · 1 file Download · 13 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

Compare your file’s SHA-256 with the recorded hash.

7 hosted of 10 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	13.2 MB	`4610003c…7de4d504` `4610003ca4e11290b1658d314b889ae46932fd55cce303e15dc3ac877de4d504`	Hosted	Baixar
Tokenizer & config
`added_tokens.json`	87 bytes	`081bdeaf…0754f96c` `081bdeaf76fc5463cc2e20fbadf17ad9eb569bb5343b120cc64b98840754f96c`	Hosted	Baixar
`config.json`	940 bytes	`480cc580…0265c1df` `480cc580b12042cb9c688a0be3cf3c501a3f8a8a56ee005be043c27f0265c1df`	Hosted	Baixar
`generation_config.json`	132 bytes	`0ce468b8…d20b767e` `0ce468b89d2064b04e726c5c85677ce29ca0d591a4b00f6cb8df78e7d20b767e`	Hosted	Baixar
`merges.txt`	441.8 KB	—	Upstream only	File metadata
`special_tokens_map.json`	701 bytes	`596d752b…1ca40369` `596d752bf46f5cace1f6826b52ed7d913347a4eea0ecce8ab2f869471ca40369`	Hosted	Baixar
`tokenizer.json`	3.48 MB	`ed944c0b…c1bf5654` `ed944c0b3d71e2d651a5ba0f8e7b350faff30031c8e3353de70b12b9c1bf5654`	Hosted	Baixar
`tokenizer_config.json`	5.64 KB	`9aab4714…37e2b69b` `9aab47148a9468bacde5b86b69af3cc2e0d7e1fe55c23c0d07d3179f37e2b69b`	Hosted	Baixar
`vocab.json`	777 KB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata

Verificar um download

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-granite-moe

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