functiongemma-mobileactions download | Hugging Bay

Q: What is this model?

Guilherme34/functiongemma-mobileactions is an open-weights language model for text generation published by Guilherme34, added to Hugging Bay Sep 19, 2026. Model from Hugging Face for text generation: Guilherme34/functiongemma-mobileactions · transformers

Q: Can I use it commercially?

It is released under the gemma license. Commercial use is allowed with conditions. Commercial use is permitted with obligations: Gemma terms: commercial use allowed subject to Google's prohibited-use policy.

Q: How big is it?

Hosted here: 8 files, 570.8 MB. Full repo upstream: 575.5 MB. The recommended download, model.safetensors, is 536.2 MB.

Q: What can I download here?

Hosted here: 8 files, 570.8 MB. Full repo upstream: 575.5 MB. The original release is at https://huggingface.co/Guilherme34/functiongemma-mobileactions.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-guilherme34-functiongemma-mobileactions/safety on Hugging Bay.

Q: Will Guilherme34/functiongemma-mobileactions 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.

Guilherme34

functiongemma-mobileactions

Guilherme34/functiongemma-mobileactions

Model details

text generationLicense: gemmaSHA-256 recorded for 9 of 11 filessafetensors

Content controls: not assessed.

Listed for chat; for developers building conversational tools. Catalog sources: license, cardMetadata.license, tags, task, cardMetadata.pipelineTag.

View as JSON →

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-guilherme34-functiongemma-mobileactions/model.safetensors",
    "model.safetensors",
)

Other ways

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

8 hosted of 11 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors536 MB · 1 file Download · 536 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

8 hosted of 11 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	536.2 MB	`39a1b5ab…e359340a` `39a1b5aba3f75e6291cc5f4ad8ccce119e7e9f92bea526781f152159e359340a`	Hosted	Download
Tokenizer & config
`added_tokens.json`	63 bytes	`52233b28…51d97153` `52233b287bd11f2f03d19fb9823e15698d9d55a811e2cce8f02bae2551d97153`	Hosted	Download
`chat_template.jinja`	13.9 KB	`0dbaf708…b9dd604a` `0dbaf70819c970c9bacd7125be8e9db46b7bc0e6ed3bc303d92bd58fb9dd604a`	Hosted	Download
`config.json`	1.35 KB	`3c217da4…19040b1e` `3c217da4fc6bbd324d9d22f62dbb3437e63c6c0fb74d14e38b33cb5c19040b1e`	Hosted	Download
`generation_config.json`	205 bytes	`5295fb81…4ad4d576` `5295fb81d766f06f13793c96dae4f1c41c7f5a3ffa2837f0498d43a84ad4d576`	Hosted	Download
`special_tokens_map.json`	714 bytes	`8108fc6f…84df3c13` `8108fc6fd7cfcd699c376de8ec30d0e117a915f6a03f20e04a4c3b6a84df3c13`	Hosted	Download
`tokenizer.json`	33.4 MB	`b6b09a0b…27d41fb2` `b6b09a0b4a803ad453063ca4bb49a784540e8120004e2450e025df2b27d41fb2`	Hosted	Download
`tokenizer.model`	4.69 MB	`aa009fcb…7a50ceb3` `aa009fcbc3589a9904d30d04834094fea4653c2ac6d2de2cd1262d4f7a50ceb3`	Upstream only	File metadata
`tokenizer_config.json`	1.17 MB	`757e9d67…b7dd058b` `757e9d67df2bc27d9eeaff0734a766ee3d8865b2ea62891ce12b7e9eb7dd058b`	Hosted	Download
Docs
`.gitattributes`	1.63 KB	—	Upstream only	File metadata
`README.md`	214 bytes	—	Upstream only	File metadata

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In the folder where you saved model.safetensors, run:

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shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

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functiongemma-mobileactions

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