Coding-Monkey-Gemma-GGUF GGUF download | Hugging Bay

Coding-Monkey-Gemma-GGUF

Can I run Coding-Monkey-Gemma-GGUF on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 1 hosted file; 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.

Coding-Monkey-Gemma-GGUF is an open-weights language model for text generation. 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 2026-10-22.

Recorded SHA-256 for gemma-coder-Q4_K_M.gguf: f6ed4f8a9c851cd8b96832fb4831fe790f0c9580665bf0ca5833d151bfeb9057. 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 2026-09-16 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

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TheOneWhoWill/Coding-Monkey-Gemma-GGUF

Model details

text generationLicense: apache-2.0SHA-256 recorded for 5 of 7 filesGGUF

Content controls: not assessed.

The catalog lists this model as an add-on for generating code. Catalog sources: license, cardMetadata.license, baseModel, tags, cardMetadata.libraryName, task, cardMetadata.pipelineTag.

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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-theonewhowill-coding-monkey-gemma-gguf/gemma-coder-Q4_K_M.gguf",
    "gemma-coder-Q4_K_M.gguf",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerMac (Apple silicon) and Linux x86_64 installs are listed on the download page. Windows and Intel Mac are not yet. The app checks this model before you choose to download.

1 hosted of 7 listed · Hashes recorded. Date not recorded.

Selected downloadgemma-coder-Q4_K_M.gguf7.38 GB · 1 file Download · 7.38 GB (1 file)

Open-file help

Content controls: not assessed.

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