tinyllama-coder-py-4bit-v7 GGUF download | Hugging Bay

tinyllama-coder-py-4bit-v7

Can I run tinyllama-coder-py-4bit-v7 on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 8 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

tinyllama-coder-py-4bit-v7 is an open-weights language model for general. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on 2026-10-21.

Recorded SHA-256 for model.safetensors: b0fb321f7aee9600127536dee8185ee1dfbb7086654a44926c9bc666c5afb9a0. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated 2026-10-21 · Page text: As of 2026-10-21 · Content revision

Model metadata: As of 2026-09-04 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-21.

Ramikan-BR/tinyllama-coder-py-4bit-v7

Model details

generalLicense: apache-2.0SHA-256 recorded for 12 of 13 filessafetensors · BIN · GGUF

Content controls: not assessed.

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

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-ramikan-br-tinyllama-coder-py-4bit-v7/model.safetensors",
    "model.safetensors",
)

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8 hosted of 13 listed · Hashes recorded. Date not recorded.

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

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Datos del modelo

tinyllama-coder-py-4bit-v7 is an open-weights language model for general. The primary file is model.safetensors (2.2 GB). The primary file needs about 4 GB free for the selected file (file plus room to run it). License: Apache 2.0. The SHA-256 prefix is b0fb321f7aee. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.

Qué incluye

8 hosted of 13 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

Acerca de este modelo

External Hugging Face catalog record for Ramikan-BR/tinyllama-coder-py-4bit-v7. Library: transformers. Languages: en. Base model: unsloth/tinyllama-chat-bnb-4bit. Popularity signal at import: 45 downloads and 0 likes.

Datos básicos

Hosted here: 8 hosted of 13 listed
Full repo upstream: 8.44 GB
Recommended file: 2.2 GB · model.safetensors
Languages: en
Format: safetensors · BIN · GGUF
File hashes: Hashes recorded. Date not recorded.

Licencia y origen

License: apache-2.0

8 hosted of 13 listed

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Upstream source →

See the JSON record →

License: Apache 2.0. Free to use and share, keep the credit notice
Task: general
Hosted here: at least 8 listed files; full count and size unknown
Full repo upstream: 8.44 GB
Recommended file: 2.2 GB · model.safetensors
Files: 8 hosted of 13 listed
Download: Download here (8 hosted files)
Added to Hugging Bay: Jun 30, 2026
Updated at source: Sep 4, 2026
Source: Ramikan-BR/tinyllama-coder-py-4bit-v7

FAQ

What is this model?

Ramikan-BR/tinyllama-coder-py-4bit-v7 is an open-weights language model for general published by Ramikan-BR, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for llm: Ramikan-BR/tinyllama-coder-py-4bit-v7 · transformers

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.

How big is it?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 8.44 GB. The recommended download, model.safetensors, is 2.2 GB.

What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 8.44 GB. The original release is at https://huggingface.co/Ramikan-BR/tinyllama-coder-py-4bit-v7.

File checks and computer fit

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-v7/safety on Hugging Bay.

Will Ramikan-BR/tinyllama-coder-py-4bit-v7 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.

Repack of unsloth/tinyllama-chat-bnb-4bit (from the publisher card on Hugging Face). This does not mean the files match the original weights.

1 other repack declare this base on their cards. The base model page shows up to 2 examples.