llama3-functioncall safetensors download | Hugging Bay

Q: What is this model?

mudler/llama3-functioncall is an open-weights language model for text generation published by mudler, added to Hugging Bay Sep 20, 2026. Model from Hugging Face for text generation: mudler/llama3-functioncall · 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: 15 files, 16.1 GB. Full repo upstream: 16.1 GB. The recommended download, a 9-file weight set, is 16.1 GB.

Q: What can I download here?

Hosted here: 15 files, 16.1 GB. Full repo upstream: 16.1 GB.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 15 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-mudler-llama3-functioncall/safety on Hugging Bay.

Q: Will mudler/llama3-functioncall 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.

mudler

llama3-functioncall

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mudler/llama3-functioncall

Model details

text generationLicense: unknownSHA-256 recorded for 15 of 17 filessafetensors

Content controls: not assessed.

The catalog lists this model for having conversations. Catalog sources: tags, task, cardMetadata.pipelineTag.

View as JSON →

15 hosted of 17 listed

Hashes recorded. Date not recorded.

File	Taille	SHA-256	Source	Télécharger
Weights
`model-00001-of-00009.safetensors`	1.97 GB	`54fa49f1…c37cd2c0` `54fa49f1cac6b579c9d0046d0954cd0fcd2309494d99ab88bf0ae71ec37cd2c0`	Hosted	Télécharger
`model-00002-of-00009.safetensors`	1.9 GB	`3292a8a0…fabfcd1a` `3292a8a0abbc029c5fdcaa8f74ff08115b1b27364f75b4521093588bfabfcd1a`	Hosted	Télécharger
`model-00003-of-00009.safetensors`	1.98 GB	`cd4705e4…6adb2a48` `cd4705e4a7d9d0c59bd15867ddca551d28349ea2de964b879ad6de6d6adb2a48`	Hosted	Télécharger
`model-00004-of-00009.safetensors`	1.95 GB	`05eda094…f9c517ca` `05eda094759446c687d47b296d7e17137500300a0af4766e8849f0fbf9c517ca`	Hosted	Télécharger
`model-00005-of-00009.safetensors`	1.98 GB	`632a8687…25a9391a` `632a86878e5c665d287b35b6d3e8741abb1d7204dfa2698c92fe5d0b25a9391a`	Hosted	Télécharger
`model-00006-of-00009.safetensors`	1.95 GB	`d2808e7b…984c7358` `d2808e7ba961a52269c42680e5c1a3f6af0ed8641f6e2f987e686641984c7358`	Hosted	Télécharger
`model-00007-of-00009.safetensors`	1.98 GB	`6ee2c32f…6f0571fc` `6ee2c32f756137b62ef6cbf7a46501d57a8130f9e732a138bd132a8e6f0571fc`	Hosted	Télécharger
`model-00008-of-00009.safetensors`	1.31 GB	`66bf5ba5…be0786f0` `66bf5ba5d6ed9a0a9649dd87f2c413161429c5117e4b0679fdf248ebbe0786f0`	Hosted	Télécharger
`model-00009-of-00009.safetensors`	1.05 GB	`674610ad…a7bd0d04` `674610adfedb7f19d21475a7280d6b34774894e654f1d50f4c24444ba7bd0d04`	Hosted	Télécharger
Tokenizer & config
`config.json`	707 bytes	`9f8048b2…b28e85b4` `9f8048b28648218733fecc41278268a4139d5ae0ccdf9467ff4ab6ecb28e85b4`	Hosted	Télécharger
`generation_config.json`	194 bytes	`6ab1fcda…35d7fce4` `6ab1fcda0b7b1cb3bed0e46c18199c74325096182d97a6eca8b05e6a35d7fce4`	Hosted	Télécharger
`model.safetensors.index.json`	23.9 KB	`b4cb280d…e2394dad` `b4cb280d78275bc6f30d4fec01827aa9ceab9a488d44f41621fba956e2394dad`	Hosted	Télécharger
`special_tokens_map.json`	325 bytes	`1b1835ca…e1e40ff8` `1b1835caa5b4d70acaa210fa222b0036f1882f9525c4660fd4810fb3e1e40ff8`	Hosted	Télécharger
`tokenizer.json`	9.09 MB	`e134af98…b2d06cc7` `e134af98b985517b4f068e3755ae90d4e9cd2d45d328325dc503f1c6b2d06cc7`	Hosted	Télécharger
`tokenizer_config.json`	51.3 KB	`3bdb818d…bc4e1a86` `3bdb818d0148fe9342b677ff304f9380f244bd2f6aa02d3c1a9cdd22bc4e1a86`	Hosted	Télécharger
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	5.19 KB	—	Upstream only	File metadata

Vérifier un téléchargement

In the folder where you saved config.json, run:

macOS

shasum -a 256 -- 'config.json'

Linux

sha256sum -- 'config.json'

Windows

Get-FileHash -LiteralPath 'config.json' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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