tiny-random-gemma4-moe safetensors download | Hugging Bay

Q: What is this model?

optimum-intel-internal-testing/tiny-random-gemma4-moe 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-gemma4-moe · 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: at least 7 listed files; full count and size unknown. Full repo upstream: 66.5 MB. The recommended download, model.safetensors, is 34.2 MB.

Q: What can I download here?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 66.5 MB. The original release is at https://huggingface.co/optimum-intel-internal-testing/tiny-random-gemma4-moe.

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-gemma4-moe/safety on Hugging Bay.

Q: Will optimum-intel-internal-testing/tiny-random-gemma4-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-gemma4-moe

optimum-intel-internal-testing/tiny-random-gemma4-moe

Model details

generalLicense: apache-2.0SHA-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 sources: license, cardMetadata.license.

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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-gemma4-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.safetensors34 MB · 1 file Download · 34 MB (1 file)

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Content controls: not assessed.

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