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@yiliu30 yiliu30 commented Oct 23, 2025

Usage

source apply_ext.sh 
VLLM_ENABLE_AR_EXT=1 vllm serve ...

Initial support for out-of-tree AutoRound integration with vLLM, verified on Qwen3-15B-A2B-Base.

  • Added AutoRoundExtensionConfig
  • Monkey patching support
  • Added AutoRoundMoEMethod and AutoRoundMoEMethodMXFp4Impl
  • UT

There are three paths for MXFP4

  • VLLM_ENABLE_STATIC_MOE=1: static MOE + unpack the weight on the fly, very slow, for correctness check
  • VLLM_ENABLE_STATIC_MOE=1 + VLLM_MXFP4_PRE_UNPACK_WEIGHTS=1, static MOE + unpack the weight to FP8 before inference, still slow but acceptable
  • VLLM_AR_MXFP4_MODULAR_MOE=1 + VLLM_MXFP4_PRE_UNPACK_WEIGHTS=1, unpack the weight to BF16 + FP32 group gemm, fast but requires the same mem as BF16 models, WIP, support it in the next PR

Signed-off-by: yiliu30 <yi4.liu@intel.com>
@yiliu30 yiliu30 changed the title init moe support [1/N] Initial vllm-ext evaluation support (MXFP4 MOE) Oct 23, 2025
Signed-off-by: yiliu30 <yi4.liu@intel.com>
@yiliu30 yiliu30 requested a review from Copilot October 23, 2025 02:42
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Pull Request Overview

This PR introduces initial support for out-of-tree AutoRound integration with vLLM, specifically for MXFP4 MOE quantization. The implementation adds extension configuration, MOE quantization methods, and utilities for FP4/MXFP4 quantization and dequantization operations.

Key changes:

  • Added AutoRoundExtensionConfig to extend AutoRound's quantization support with MXFP4 MOE capabilities
  • Implemented AutoRoundMoEMethod and AutoRoundMoEMethodMXFp4Impl for handling MOE layers with MXFP4 quantization
  • Created utility modules for MXFP4 quantization/dequantization, FP4 conversions, and environment variable extensions

Reviewed Changes

Copilot reviewed 11 out of 11 changed files in this pull request and generated 3 comments.

Show a summary per file
File Description
auto_round/experimental/vllm_ext/utils.py MXFP4 scale derivation and quantization utilities for E8M0 exponent handling
auto_round/experimental/vllm_ext/tests/test_mxfp4_moe.py Basic test validating AutoRound MXFP4 model inference
auto_round/experimental/vllm_ext/tests/conftest.py Test fixtures and runners copied from vLLM
auto_round/experimental/vllm_ext/sitecustomize.py Bootstrap script for enabling AutoRound extension via environment variable
auto_round/experimental/vllm_ext/quant_method_moe.py MOE quantization method dispatcher for AutoRound
auto_round/experimental/vllm_ext/mxfp4_qdq_utils.py MXFP4 quantization/dequantization implementation
auto_round/experimental/vllm_ext/moe_impl_mxfp4.py MXFP4 MOE layer implementation with weight processing
auto_round/experimental/vllm_ext/fp4_utils.py FP4 E2M1 format packing/unpacking utilities
auto_round/experimental/vllm_ext/envs_ext.py Extension environment variables for MXFP4 configuration
auto_round/experimental/vllm_ext/auto_round_ext.py AutoRound extension configuration class
auto_round/experimental/vllm_ext/init.py Extension application entry point

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Signed-off-by: yiliu30 <yi4.liu@intel.com>
Signed-off-by: yiliu30 <yi4.liu@intel.com>
Signed-off-by: yiliu30 <yi4.liu@intel.com>
Signed-off-by: yiliu30 <yi4.liu@intel.com>
@yiliu30 yiliu30 marked this pull request as ready for review October 23, 2025 03:05
@yiliu30 yiliu30 mentioned this pull request Oct 23, 2025
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Signed-off-by: yiliu30 <yi4.liu@intel.com>
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Signed-off-by: yiliu30 <yi4.liu@intel.com>
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I’m not very familiar with this part. @mengniwang95 @n1ck-guo, could you please review it again and approve the PR if everything looks good?

Signed-off-by: yiliu30 <yi4.liu@intel.com>
@yiliu30 yiliu30 merged commit e8bc353 into main Oct 30, 2025
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@yiliu30 yiliu30 deleted the vllm-ext branch October 30, 2025 07:22
chensuyue added a commit that referenced this pull request Nov 11, 2025
* Fix rtn tuning_device issue (#893)

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* Add compatibility test (#918)

* Add commit hash to version (#941)

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

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---------

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