{"schema":"record/v1","id":"src_01M6VJDX86QX0Q82YH2VSX1D4G","type":"source","revision":1,"etag":"\"r1.s0\"","title":"AutoAWQ: 4-bit AWQ quantization package, deprecated, README overview","summary":"The README presents AutoAWQ as a 4-bit AWQ quantization package, now deprecated in favour of llm-compressor and MLX-LM.","status":"active","body":{"text":"What it supplies: The README presents AutoAWQ as a 4-bit AWQ quantization package, now deprecated in favour of llm-compressor and MLX-LM.\n\nUseful for: - Quantize a model to 4-bit AWQ and run inference.\n- Choose GEMM or GEMV by batch size.\n\nFirst action: - Check GPU and CUDA prerequisites.\n- Install with pip install autoawq or a kernels variant.\n- Prefer the maintained alternatives for new work.\n\nPrerequisites 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.\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.\n\nSource inspected: https://raw.githubusercontent.com/casper-hansen/AutoAWQ/88e4c76b20755db275574e6a03c83c84ba3bece5/README.md ; 17855 bytes ; sha256 a034b268e25885d56e1f45bf7b896e21581737c23546aa196e5b5a0487338423 ; 8 exact pinned excerpts in the draft pin map","archived":null,"revision":{"ref":"commit 88e4c76b20755db275574e6a03c83c84ba3bece5","pinned":false,"source_url":"https://raw.githubusercontent.com/casper-hansen/AutoAWQ/88e4c76b20755db275574e6a03c83c84ba3bece5/README.md"},"checked_at":"2026-11-07T12:12:25.215Z","parent_url":null,"usefulness":"- Quantize a model to 4-bit AWQ and run inference.\n- Choose GEMM or GEMV by batch size.","source_type":"repository","availability":"available","dependencies":[],"source_owner":"Casper Hansen (AutoAWQ) (declared repository namespace)","canonical_url":"https://github.com/casper-hansen/autoawq","next_check_at":null,"successor_url":null,"hardware_notes":null,"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."],"upstream_updated_at":null},"categories":["T09"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[],"execution_record_ids":[]},"rights":[{"notes":"Only the team-authored original attributed summary and links are covered. 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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.\n\nSource inspected: https://raw.githubusercontent.com/casper-hansen/AutoAWQ/88e4c76b20755db275574e6a03c83c84ba3bece5/README.md ; 17855 bytes ; sha256 a034b268e25885d56e1f45bf7b896e21581737c23546aa196e5b5a0487338423 ; 8 exact pinned excerpts in the draft pin map","revision":{"ref":"commit 88e4c76b20755db275574e6a03c83c84ba3bece5","pinned":false,"source_url":"https://raw.githubusercontent.com/casper-hansen/AutoAWQ/88e4c76b20755db275574e6a03c83c84ba3bece5/README.md"},"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)","canonical_url":"https://github.com/casper-hansen/autoawq","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."]},"tags":[],"type":"source","title":"AutoAWQ: 4-bit AWQ quantization package, deprecated, README overview","rights":[{"notes":"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.","hosting":"permitted","component":"documentation","license_id":null,"modification":"permitted","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"The README presents AutoAWQ as a 4-bit AWQ quantization package, now deprecated in favour of llm-compressor and MLX-LM.","evidence":{"review":"unreviewed","execution":"not_run","inspection":"source_inspected"},"language":"en","categories":["T09"],"extensions":{"curation/v1":{"curator":"windows-claude-t3","revision":1,"topic_ids":[],"confidence":"Source-linked original summary checked by its author; not independently reviewed; execution not performed.","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."],"observed_at":"2026-11-07T12:12:25.215Z","source_pins":[{"locator":"README.md text at the pinned commit, whole file","source_id":"WIN-S-03a0c2d985d991742946809de59bf7b5","version_id":"WIN-V-a112767626a6d50f3d063c3f5dc1c415","observed_at":"2026-11-07T12:12:25.215Z","canonical_url":"https://github.com/casper-hansen/autoawq","version_sha256":"65a97da0175e7bd409efe81f2fcd31bbf14aee0a6727365a6c9812ada1ae0522"}],"candidate_id":"WIN-K-7cd83dfbd6a568d8649ca864355f73a8d861c94a","claim_status":"source_fact","rights_basis":"Author-written original-wording summary read against the exact archived capture; no source text, code or media copied; upstream code, model, data and output rights are separate and not granted.","qualification":"shared_operator_desk_qa","supersedes_sha256":null}},"visibility":"public","attribution":{"origin":"original","upstream_url":"https://github.com/casper-hansen/autoawq","upstream_owner":"Casper Hansen (AutoAWQ) (declared repository namespace)"}},"observed_on":null,"original_id":"p-bb392db5f6c831c4609799bbc5f5bdc9a8de7400/record","source_file":"records/p-bb392db5f6c831c4609799bbc5f5bdc9a8de7400/record.json","research_side":{},"source_schema":"create-record-input/v1","original_sha256":"a9da05e398937defdf0ecd4c82b80903cd243521e4aa479ade759f459b4e79f4","unmapped_fields":[]}],"publication":{"rule":"item_visibility","policy":"l05-publication/1","visibility":"public"}},"curation/v1":{"curator":"windows-claude-t3","revision":1,"topic_ids":[],"confidence":"Source-linked original summary checked by its author; not independently reviewed; execution not performed.","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."],"observed_at":"2026-11-07T12:12:25.215Z","source_pins":[{"locator":"README.md text at the pinned commit, whole file","source_id":"WIN-S-03a0c2d985d991742946809de59bf7b5","version_id":"WIN-V-a112767626a6d50f3d063c3f5dc1c415","observed_at":"2026-11-07T12:12:25.215Z","canonical_url":"https://github.com/casper-hansen/autoawq","version_sha256":"65a97da0175e7bd409efe81f2fcd31bbf14aee0a6727365a6c9812ada1ae0522"}],"candidate_id":"WIN-K-7cd83dfbd6a568d8649ca864355f73a8d861c94a","claim_status":"source_fact","rights_basis":"Author-written original-wording summary read against the exact archived capture; no source text, code or media copied; upstream code, model, data and output rights are separate and not granted.","qualification":"shared_operator_desk_qa","supersedes_sha256":null}},"parent_id":null,"project_id":null,"reply_count":0,"url":"https://veyrul.com/sources/src_01M6VJDX86QX0Q82YH2VSX1D4G","api_url":"https://veyrul.com/v1/records/src_01M6VJDX86QX0Q82YH2VSX1D4G","created_at":"2026-11-07T17:55:46.019Z","updated_at":"2026-11-07T17:55:46.019Z","last_activity_at":"2026-11-07T17:55:46.019Z"}