tinyllama-coder-py-4bit-v3 GGUF download | Hugging Bay

Q: What is this model?

Ramikan-BR/tinyllama-coder-py-4bit-v3 is an open-weights language model for text generation published by Ramikan-BR, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: Ramikan-BR/tinyllama-coder-py-4bit-v3 · transformers

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 8 listed files; full count and size unknown. Full repo upstream: 7.77 GB. The recommended download, model.safetensors, is 2.2 GB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 7.77 GB. The original release is at https://huggingface.co/Ramikan-BR/tinyllama-coder-py-4bit-v3.

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-ramikan-br-tinyllama-coder-py-4bit-v3/safety on Hugging Bay.

Q: Will Ramikan-BR/tinyllama-coder-py-4bit-v3 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.

Ramikan-BR

tinyllama-coder-py-4bit-v3

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Ramikan-BR/tinyllama-coder-py-4bit-v3

Model details

text generationLicense: apache-2.0SHA-256 recorded for 11 of 12 filessafetensors · BIN · GGUF

Content controls: not assessed.

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

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-ramikan-br-tinyllama-coder-py-4bit-v3/model.safetensors",
    "model.safetensors",
)

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8 hosted of 12 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors2.2 GB · 1 file Download · 2.2 GB (1 file)

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

8 hosted of 12 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	2.2 GB	`838e8a10…0dd2bf10` `838e8a10cf9ca2c25f55a967980ca38fa8eaab61399af6f761275a720dd2bf10`	Hosted	Download
`pytorch_model.bin`	2.2 GB	`d92143fa…564e1b55` `d92143fad3f17334914a3789938391a11b94ea3cedb06df88dcf4de8564e1b55`	Upstream only	File metadata
`tinyllama-coder-py-4bit-v3-unsloth.F16.gguf`	2.2 GB	`e98ad7e8…c3becd6c` `e98ad7e8134550b31c145f4dd712f84c532323cbc4da98e0d7e6f526c3becd6c`	Upstream only	File metadata
`tinyllama-coder-py-4bit-v3-unsloth.Q8_0.gguf`	1.17 GB	`23d9588f…ee11eee6` `23d9588fd22890e93ea1b3263d9d6ea710df34864a6b547f63fa04d2ee11eee6`	Upstream only	File metadata
Tokenizer & config
`config.json`	802 bytes	`8127a72b…863db95f` `8127a72b876ddeb509b4ad9441ddd808d7b459bd89f1bbe9ab44d555863db95f`	Hosted	Download
`generation_config.json`	124 bytes	`8a161693…a5632ba9` `8a1616936da2f7a3e13eb391f7713023265eedd69c14b4274aee4053a5632ba9`	Hosted	Download
`special_tokens_map.json`	552 bytes	`4859e5db…b2166e7f` `4859e5dbde90e059988a0a2136d8df3f2773d4d2fc4c4543690028f0b2166e7f`	Hosted	Download
`tokenizer.model`	499.7 KB	`9e556afd…1818d347` `9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347`	Hosted	Download
`tokenizer_config.json`	1.34 KB	`6b5225bd…1e738839` `6b5225bd760be939d04d4586eb0bf8fd24b1084ab65e43a055db94651e738839`	Hosted	Download
`tokenizer.json`	1.84 MB	`bf467c9e…b205df83` `bf467c9e0f536bda271283c6ef85eb1a943e3196b621c8a912d64953b205df83`	Hosted	Download
Docs
`.gitattributes`	1.68 KB	—	Upstream only	File metadata
`README.md`	591 bytes	`d5b3dbba…47979aaf` `d5b3dbba2620fdbaa10a3d6d5b3ad459d7967f54e47f6962a441fa3947979aaf`	Hosted	Download

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tinyllama-coder-py-4bit-v3

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