---
id: pr-vllm-29066
repo: vllm-project/vllm
pr: 29066
title: '[MoE][Refactor] Remove most arguments to FusedMoEMethodBase.apply'
author: bnellnm
date: '2025-12-09'
url: https://github.com/vllm-project/vllm/pull/29066
source_category: upstream-code
architectures:
- sm100
tags: []
techniques: []
hardware_features: []
kernel_types: []
languages: []
captured_at: '2026-05-16'
status: merged
merge_sha: 00e5cbb96789fd9d083b4015cdcff318e4de3808
inclusion_reason: defer
changed_paths:
- vllm/model_executor/layers/fused_moe/__init__.py
- vllm/model_executor/layers/fused_moe/fused_moe_method_base.py
- vllm/model_executor/layers/fused_moe/fused_moe_modular_method.py
- vllm/model_executor/layers/fused_moe/layer.py
- vllm/model_executor/layers/fused_moe/unquantized_fused_moe_method.py
- vllm/model_executor/layers/quantization/awq_marlin.py
- vllm/model_executor/layers/quantization/bitsandbytes.py
- vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe.py
- vllm/model_executor/layers/quantization/experts_int8.py
- vllm/model_executor/layers/quantization/fp8.py
- vllm/model_executor/layers/quantization/gguf.py
- vllm/model_executor/layers/quantization/gptq_marlin.py
- vllm/model_executor/layers/quantization/ipex_quant.py
- vllm/model_executor/layers/quantization/modelopt.py
- vllm/model_executor/layers/quantization/moe_wna16.py
- vllm/model_executor/layers/quantization/mxfp4.py
- vllm/model_executor/layers/quantization/quark/quark_moe.py
- vllm/model_executor/layers/quantization/rtn.py
artifact_dir: evidence/pull-bundles/vllm/gh-29066
head_ref_oid: 09af5d718af67a1f708e4b2ac89d662f239711b9
---
# [MoE][Refactor] Remove most arguments to FusedMoEMethodBase.apply

- Repository: `vllm-project/vllm`
- PR: [29066](https://github.com/vllm-project/vllm/pull/29066)
- Decision: `defer`
- Reason: defer

## Changed Paths

- `vllm/model_executor/layers/fused_moe/__init__.py`
- `vllm/model_executor/layers/fused_moe/fused_moe_method_base.py`
- `vllm/model_executor/layers/fused_moe/fused_moe_modular_method.py`
- `vllm/model_executor/layers/fused_moe/layer.py`
- `vllm/model_executor/layers/fused_moe/unquantized_fused_moe_method.py`
- `vllm/model_executor/layers/quantization/awq_marlin.py`
- `vllm/model_executor/layers/quantization/bitsandbytes.py`
- `vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe.py`
- `vllm/model_executor/layers/quantization/experts_int8.py`
- `vllm/model_executor/layers/quantization/fp8.py`
- `vllm/model_executor/layers/quantization/gguf.py`
- `vllm/model_executor/layers/quantization/gptq_marlin.py`
- `vllm/model_executor/layers/quantization/ipex_quant.py`
- `vllm/model_executor/layers/quantization/modelopt.py`
- `vllm/model_executor/layers/quantization/moe_wna16.py`
- `vllm/model_executor/layers/quantization/mxfp4.py`
- `vllm/model_executor/layers/quantization/quark/quark_moe.py`
- `vllm/model_executor/layers/quantization/rtn.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-29066`
