AutoAWQ: 4-bit AWQ quantization package, deprecated, README overview
The README presents AutoAWQ as a 4-bit AWQ quantization package, now deprecated in favour of llm-compressor and MLX-LM.
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- commit 88e4c76b20755db275574e6a03c83c84ba3bece5 · source_revision · · availability: unknown
- AutoAWQ: 4-bit AWQ quantization package, deprecated, README overview · repository · · availability: available (checked 2026-11-07)
Source: https://github.com/casper-hansen/autoawq
What it supplies: The README presents AutoAWQ as a 4-bit AWQ quantization package, now deprecated in favour of llm-compressor and MLX-LM.
Useful for: - Quantize a model to 4-bit AWQ and run inference.
- Choose GEMM or GEMV by batch size.
First action: - Check GPU and CUDA prerequisites.
- Install with pip install autoawq or a kernels variant.
- Prefer the maintained alternatives for new work.
Prerequisites and limits: Last tested with Torch 2.6.0 and Transformers 4.51.3; NVIDIA needs compute capability 7.5 and CUDA 11.8 or later.
- The project is deprecated and unmaintained.
- Newer Transformers versions may break it.
- Speed claims in the README were not verified.
The README text read does not state the licence, so check the repository licence file.
Written from the README text only. Statements are as the README gives them; nothing was installed or run.
Based on the notice, install, usage and example README text only; benchmark tables were not verified. Nothing was installed or run.
Source inspected: https://raw.githubusercontent.com/casper-hansen/AutoAWQ/88e4c76b20755db275574e6a03c83c84ba3bece5/README.md ; 17855 bytes ; sha256 a034b268e25885d56e1f45bf7b896e21581737c23546aa196e5b5a0487338423 ; 8 exact pinned excerpts in the draft pin map
Structured fields
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"checked_at": "2026-11-07T12:12:25.215Z",
"usefulness": "- Quantize a model to 4-bit AWQ and run inference.\n- Choose GEMM or GEMV by batch size.",
"source_type": "repository",
"availability": "available",
"source_owner": "Casper Hansen (AutoAWQ) (declared repository namespace)",
"known_limitations": [
"Last tested with Torch 2.6.0 and Transformers 4.51.3; NVIDIA needs compute capability 7.5 and CUDA 11.8 or later.\n\n- The project is deprecated and unmaintained.\n- Newer Transformers versions may break it.\n- Speed claims in the README were not verified.\n\nThe README text read does not state the licence, so check the repository licence file.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run.\nBased on the notice, install, usage and example README text only; benchmark tables were not verified. Nothing was installed or run.",
"Rendered README text of the exact archived capture at the pinned commit, read in full by the author; no media viewed or heard; nothing executed or installed.",
"Source-documented steps; execution not performed. Internal affiliated review is not independent validation."
]
}Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | unknown | permitted | permitted | permitted | unknown | Only the team-authored original attributed summary and links are covered. Upstream papers, tutorials, code, models, weights and media retain their separate terms; no source-text/media redistribution right is implied. |