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@wenhuach21 wenhuach21 changed the title refine code refine AutoScheme readme/code Oct 29, 2025
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Pull Request Overview

This pull request refactors the AutoScheme functionality by moving it to a dedicated module structure and updating documentation. The changes improve code organization by separating concerns and enhance the README with better examples and parameter documentation.

  • Moved AutoScheme class from schemes.py to a dedicated auto_scheme module with proper registration system
  • Updated import statements across multiple files to reflect the new module structure
  • Enhanced README documentation with AutoScheme usage examples and reorganized hyperparameter descriptions

Reviewed Changes

Copilot reviewed 9 out of 10 changed files in this pull request and generated 2 comments.

Show a summary per file
File Description
docs/step_by_step.md Added GGUF quantization scheme documentation and removed redundant torch compile recommendation
auto_round/schemes.py Removed AutoScheme class and related imports, updated all exports
auto_round/compressors/base.py Updated imports and moved parameters to function signature
auto_round/autoround.py Updated AutoScheme import to use new module location
auto_round/auto_scheme/register.py New registration system for auto scheme methods
auto_round/auto_scheme/gen_auto_scheme.py New home for AutoScheme class definition
auto_round/auto_scheme/init.py Module initialization with simplified imports
auto_round/init.py Updated AutoScheme import path
README.md Enhanced documentation with AutoScheme examples and reorganized parameter descriptions

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@wenhuach21 wenhuach21 merged commit 8ac82a4 into main Oct 29, 2025
16 of 22 checks passed
@wenhuach21 wenhuach21 deleted the refine_1129 branch October 29, 2025 14:00
chensuyue added a commit that referenced this pull request Nov 11, 2025
* Fix rtn tuning_device issue (#893)

Signed-off-by: Kaihui-intel <kaihui.tang@intel.com>

* fix vlm gguf ut (#895)

Signed-off-by: n1ck-guo <heng.guo@intel.com>

* update alg_ext.abi3.so with python compatible version (#894)

* move ste from quant to round for nvfp4 (#889)

Signed-off-by: He, Xin3 <xin3.he@intel.com>

* Add GPT-OSS quant support (#887)

* better help printing information (#883)

* better help printing information

Signed-off-by: n1ck-guo <heng.guo@intel.com>

* speedup quant and evaluation, fix recompile issue (#897)

* rewrite the implementation for ease-of-maintain

Signed-off-by: He, Xin3 <xin3.he@intel.com>

* fix bug

Signed-off-by: He, Xin3 <xin3.he@intel.com>

* fix quant performance

Signed-off-by: He, Xin3 <xin3.he@intel.com>

* Update auto_round/compressors/base.py

---------

Signed-off-by: He, Xin3 <xin3.he@intel.com>

* fix nvfp act quantization bug (#891)

* fix nvfp act quantization bug

Signed-off-by: Zhang, Weiwei1 <weiwei1.zhang@intel.com>

* add cuda ut for moe nvfp quantize

Signed-off-by: Zhang, Weiwei1 <weiwei1.zhang@intel.com>

* add cpu UT, refine cuda UT

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* fix ut typo

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* fix cpu ut

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* enhance experts amax match, refine UT

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* support automatic mixed bits assignment (#851)

* try to fix gguf issue (#886)

* remove numba from requirments (#905)

Signed-off-by: yiliu30 <yi4.liu@intel.com>

* Extend mxfp loading dtypes (#907)

* block dataset logger info (#908)

Signed-off-by: n1ck-guo <heng.guo@intel.com>

* fix torch compile issue in AutoScheme (#909)

* Revert "Extend mxfp loading dtypes (#907)" (#915)

This reverts commit 0c2619c.

* support disable_opt_rtn in auto-scheme (#913)

* fix llama 4 ut (#896)

* fix ut of llama 4

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* add numba for cpu lib (#919)

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* Loosen the packing restrictions for mxfp&nvfp (#911)

* Loosen the packing restrictions for mxfp&nvfp, enable Qwen1.5-MoE-A2.7B quantize

Signed-off-by: Zhang, Weiwei1 <weiwei1.zhang@intel.com>

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* fix UT

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* refine mxfp&nvfp layer checker

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* fix pylint

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* Extend mxfp loading dtypes (#916)

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* Fix act config exporting for mixed schemes (#903)

* fp8 exporting bugfix

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* fix act related config saving

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* add ut for act_config check

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* refine extra_config saving, add UTs

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* fix ut typo

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* fix ut typo

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* fixtypo

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* fix CI

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* fix scan issue

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* fix scan issue

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* rm global variable

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* rerun ut

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* refine ut

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* optimize rtn for int woq (#924)

* fix bug of gguf and support for LiquidAI/LFM2-1.2B (#927)

Signed-off-by: n1ck-guo <heng.guo@intel.com>

* remove numpy<2.0 limitation (#921)

* enable regex quantization config saving for mixed bits (#825)

* enable dynamic quantization config saving

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* fixtypo

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* rebase code, refine config saving

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* refine ut

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* enable hf loading for regex, add UTs

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* refine export, enhance gptq UT

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* Fix Flux tuning issue (#936)

Signed-off-by: Mengni Wang <mengni.wang@intel.com>

* gguf support for inclusionAI/Ling-flash-2.0 (#940)

* remove low_cpu_mem (#934)

* Add compatibility test (#918)

* Add commit hash to version (#941)

Signed-off-by: Sun, Xuehao <xuehao.sun@intel.com>

* gguf weight type align with original, output.weight, token_embed (#900)

* support attention mask in user's dataset (#930)

* Add diffusion README (#923)

* update readme (#949)

* refactor utils file (#943)

* refact utils

Signed-off-by: n1ck-guo <heng.guo@intel.com>

* update readme for sglang support (#953)

* update readme for sglang support

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* refine doc

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* Update README.md

---------

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Co-authored-by: Wenhua Cheng <wenhua.cheng@intel.com>

* update gguf and support for CompressedLinear (#950)

* Reduce AutoSchem VRAM usage by up to 10X (#944)

* add self attribution and fix avg_bits error (#956)

* add self attribution and fix avg_bits error
---------

Signed-off-by: He, Xin3 <xin3.he@intel.com>
Co-authored-by: Wenhua Cheng <wenhua.cheng@intel.com>

* add logo (#960)

* refine AutoScheme readme/code (#958)

* update readme (#962)

* fix critic disable_opt_rtn regression (#963)

* [1/N] Initial vllm-ext evaluation support (MXFP4 MOE) (#935)

Signed-off-by: yiliu30 <yi4.liu@intel.com>

* fix bug of imatrix contains 0 (#955)

* fix rtn bug (#966)

* enhance flux doc (#967)

* clean code (#968)

* support for model scope  (#957)

* support for model scope

Signed-off-by: n1ck-guo <heng.guo@intel.com>

* merge main branch to alg_ext (#970)

* fix cuda CI backend issue, fixtypo (#974)

* disable compile packing by default (#975)

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* enhance auto device map and support XPU  (#961)

* enhance auto device map and support XPU
---------

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* refine readme (#978)

* cli support for positional arguments model (#979)

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* update bits (#986)

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* fix guff scheme and device_map bug (#969)

* add support for Magistral-Small (#980)

* support model_dtype and fix bug of scheme contains quotes, mllm eval (#985)

---------

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