MathCoder2-CodeLlama-7B-GGUF GGUF download | Hugging Bay

Q: What is this model?

QuantFactory/MathCoder2-CodeLlama-7B-GGUF is an open-weights language model for text generation published by QuantFactory, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: QuantFactory/MathCoder2-CodeLlama-7B-GGUF · unknown

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?

QuantFactory/MathCoder2-CodeLlama-7B-GGUF has 7B parameters. Hosted here: 1 file, 4.08 GB. Full repo upstream: 60.2 GB. The recommended download, MathCoder2-CodeLlama-7B.Q4_K_M.gguf (Q4_K_M), is 4.08 GB.

Q: What can I download here?

Hosted here: 1 file, 4.08 GB. Full repo upstream: 60.2 GB. The original release is at https://huggingface.co/QuantFactory/MathCoder2-CodeLlama-7B-GGUF.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 1 hosted file carries a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-quantfactory-mathcoder2-codellama-7b-gguf/safety on Hugging Bay.

Q: Will QuantFactory/MathCoder2-CodeLlama-7B-GGUF 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.

QuantFactory

MathCoder2-CodeLlama-7B-GGUF

QuantFactory/MathCoder2-CodeLlama-7B-GGUF

Model details

text generationLicense: apache-2.0Hashes recordedGGUF

Content controls: not assessed.

Listed for generating text; for developers building text generation tools. Catalog sources: license, cardMetadata.license, 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-quantfactory-mathcoder2-codellama-7b-gguf/MathCoder2-CodeLlama-7B.Q4_K_M.gguf",
    "MathCoder2-CodeLlama-7B.Q4_K_M.gguf",
)

Other ways

1 hosted of 16 listed · Hashes recorded. Date not recorded.

Selected downloadMathCoder2-CodeLlama-7B.Q4_K_M.gguf4.08 GB · 1 file Download · 4.08 GB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

Machine-readable artifact endpoints

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MathCoder2-CodeLlama-7B-GGUF

Machine-readable artifact endpoints

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