AMD-Llama-135m-code-GGUF GGUF download (86 MB) | Hugging Bay

Q: What is this model?

QuantFactory/AMD-Llama-135m-code-GGUF is an open-weights language model for general published by QuantFactory, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for llm: QuantFactory/AMD-Llama-135m-code-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/AMD-Llama-135m-code-GGUF has 135M parameters. Hosted here: 1 file, 85.9 MB. Full repo upstream: 1.27 GB. The recommended download, AMD-Llama-135m-code.Q4_K_M.gguf (Q4_K_M), is 85.9 MB.

Q: What can I download here?

Hosted here: 1 file, 85.9 MB. Full repo upstream: 1.27 GB. The original release is at https://huggingface.co/QuantFactory/AMD-Llama-135m-code-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-amd-llama-135m-code-gguf/safety on Hugging Bay.

Q: Will QuantFactory/AMD-Llama-135m-code-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

AMD-Llama-135m-code-GGUF

QuantFactory/AMD-Llama-135m-code-GGUF

Model details

generalLicense: apache-2.0Hashes recordedGGUF

Content controls: not assessed.

Not enough information to say what this model is for or who should use it. Catalog sources: license, cardMetadata.license.

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-amd-llama-135m-code-gguf/AMD-Llama-135m-code.Q4_K_M.gguf",
    "AMD-Llama-135m-code.Q4_K_M.gguf",
)

Other ways

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

Selected downloadAMD-Llama-135m-code.Q4_K_M.gguf86 MB · 1 file Download · 86 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

1 hosted of 16 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`AMD-Llama-135m-code.Q4_K_M.gguf` Default	85.9 MB	`66f3f58d…e4f405ea` `66f3f58d7e2fae2aa54053104d9a3455dc020385d4f0152be2112056e4f405ea`	Hosted	Download
`AMD-Llama-135m-code.Q2_K.gguf`	60.3 MB	`b7a897c1…0ed0f2c6` `b7a897c113a93bc238e392613fe73d764f4e53fe24e03722e99dc59b0ed0f2c6`	Upstream only	File metadata
`AMD-Llama-135m-code.Q3_K_L.gguf`	76.5 MB	`93ca6d15…677a5ca6` `93ca6d15fe5024b2ed9fafb0ef8fb4e6edba2fe03459077b39041873677a5ca6`	Upstream only	File metadata
`AMD-Llama-135m-code.Q3_K_M.gguf`	72.6 MB	`ca016fa5…236fd04f` `ca016fa57f41fbd8b1ec0b3f7cd6d96a04134669283b1e34cf91f544236fd04f`	Upstream only	File metadata
`AMD-Llama-135m-code.Q3_K_S.gguf`	68 MB	`9b2f41e8…6fa2bacf` `9b2f41e83b21884c5749de346da248a469383746d700b1a2f932c3a86fa2bacf`	Upstream only	File metadata
`AMD-Llama-135m-code.Q4_0.gguf`	82.6 MB	`aa673e9d…46d8ba41` `aa673e9d737374ef254a584da24a34eb41508476eff76f3efe45c45346d8ba41`	Upstream only	File metadata
`AMD-Llama-135m-code.Q4_1.gguf`	89.4 MB	`494c7f55…07b807b4` `494c7f55b451efbf28a1293bbb423235444cbc8fef9f9cbd6a2d363d07b807b4`	Upstream only	File metadata
`AMD-Llama-135m-code.Q4_K_S.gguf`	83.1 MB	`7bdce718…24dc06dd` `7bdce718eb767762508942eb6ef6b34189b6ffe742ddab452a7ee09a24dc06dd`	Upstream only	File metadata
`AMD-Llama-135m-code.Q5_0.gguf`	96.3 MB	`fa72188b…f2cdbe0d` `fa72188bfc0f95f647e75ffdc11e10abccae95d541a2068fed137fc0f2cdbe0d`	Upstream only	File metadata
`AMD-Llama-135m-code.Q5_1.gguf`	103.1 MB	`e7b54357…73bf50cf` `e7b5435704c18755a5e8cc8a8d4050c0b23c0246eec6b52e456b8a8473bf50cf`	Upstream only	File metadata
`AMD-Llama-135m-code.Q5_K_M.gguf`	98 MB	`4e90a374…5fb9c21e` `4e90a374ca5fe290d7fe6d2e48c44f3d8fb1d0a58a50d668477cf7af5fb9c21e`	Upstream only	File metadata
`AMD-Llama-135m-code.Q5_K_S.gguf`	96.3 MB	`0e5e9d0b…fda87f19` `0e5e9d0bc3ac2dcd146861ece298bfc3347ff70c9c1dc0fcadf15f8cfda87f19`	Upstream only	File metadata
`AMD-Llama-135m-code.Q6_K.gguf`	110.8 MB	`88193298…5f001cb3` `881932985aff9101a504373d5251349264f0182d9ea05d416a70875d5f001cb3`	Upstream only	File metadata
`AMD-Llama-135m-code.Q8_0.gguf`	143.3 MB	`775376e7…353e9ce5` `775376e7686cfafa343e26f195164ecca977fc0532d748b91fac94ca353e9ce5`	Upstream only	File metadata
Docs
`.gitattributes`	2.46 KB	—	Upstream only	File metadata
`README.md`	10.6 KB	—	Upstream only	File metadata

Check a download

In the folder where you saved AMD-Llama-135m-code.Q4_K_M.gguf, run:

macOS

shasum -a 256 -- 'AMD-Llama-135m-code.Q4_K_M.gguf'

Linux

sha256sum -- 'AMD-Llama-135m-code.Q4_K_M.gguf'

Windows

Get-FileHash -LiteralPath 'AMD-Llama-135m-code.Q4_K_M.gguf' -Algorithm SHA256

Compare the result with the recorded SHA-256.

AMD-Llama-135m-code-GGUF

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