tiny-mixtral safetensors download (988 MB) | Hugging Bay

Q: What is this model?

TitanML/tiny-mixtral is an open-weights language model for text generation published by TitanML, added to Hugging Bay Sep 21, 2026. Model from Hugging Face for text generation: TitanML/tiny-mixtral · transformers

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: at least 6 listed files; full count and size unknown. Full repo upstream: 990.1 MB. The recommended download, model.safetensors, is 987.9 MB.

Q: What can I download here?

Hosted here: at least 6 listed files; full count and size unknown. Full repo upstream: 990.1 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-titanml-tiny-mixtral/safety on Hugging Bay.

Q: Will TitanML/tiny-mixtral 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.

TitanML

tiny-mixtral

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TitanML/tiny-mixtral

Model details

text generationLicense: unknownSHA-256 recorded for 7 of 9 filessafetensors

Content controls: not assessed.

The catalog lists this model for generating text. Catalog sources: task, cardMetadata.pipelineTag.

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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-titanml-tiny-mixtral/model.safetensors",
    "model.safetensors",
)

Other ways

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6 hosted of 9 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors988 MB · 1 file Download · 988 MB (1 file)

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Content controls: not assessed.

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