---
id: pr-vllm-23125
repo: vllm-project/vllm
pr: 23125
title: '[Bugfix] Fix accuracy issue when using flashinfer cutlass moe, TP=1 and modelopt.'
author: bnellnm
date: '2025-08-19'
url: https://github.com/vllm-project/vllm/pull/23125
source_category: upstream-code
architectures:
- sm100
tags:
- kernel-fusion
- moe
- quantization
techniques:
- kernel-fusion
hardware_features: []
kernel_types:
- moe
- quantization
languages:
- python
captured_at: '2026-04-27'
status: merged
merge_sha: b94faf9d50360217659f5605fce45a562dde6834
inclusion_reason: kernel file changes
changed_paths:
- vllm/model_executor/layers/fused_moe/flashinfer_cutlass_moe.py
- vllm/model_executor/layers/fused_moe/layer.py
- vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe.py
- vllm/model_executor/layers/quantization/modelopt.py
head_ref_oid: a903fba1b72628bc8e0b7eab06ce6b05fc0012e4
artifact_dir: evidence/pull-bundles/vllm/gh-23125
---
# [Bugfix] Fix accuracy issue when using flashinfer cutlass moe, TP=1 and modelopt.

- Repository: `vllm-project/vllm`
- PR: [23125](https://github.com/vllm-project/vllm/pull/23125)
- Decision: `kernel file changes`
- Reason: kernel file changes

## Changed Paths

- `vllm/model_executor/layers/fused_moe/flashinfer_cutlass_moe.py`
- `vllm/model_executor/layers/fused_moe/layer.py`
- `vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe.py`
- `vllm/model_executor/layers/quantization/modelopt.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-23125`
