---
id: pr-vllm-12185
repo: vllm-project/vllm
pr: 12185
title: '[Kernel] add triton fused moe kernel for gptq/awq'
author: jinzhen-lin
date: '2025-01-29'
url: https://github.com/vllm-project/vllm/pull/12185
source_category: upstream-code
architectures:
- sm100
tags:
- kernel-fusion
- moe
- quantization
techniques:
- kernel-fusion
hardware_features: []
kernel_types:
- moe
- quantization
languages:
- triton
captured_at: '2026-04-27'
status: merged
merge_sha: 27b78c73cad00f5c7bb3b2431f02dc680f7034bc
inclusion_reason: kernel file changes
changed_paths:
- tests/kernels/test_moe.py
- vllm/model_executor/layers/fused_moe/fused_moe.py
- vllm/model_executor/layers/quantization/__init__.py
- vllm/model_executor/layers/quantization/moe_wna16.py
head_ref_oid: ea3970282137f8dcc04d3265680a3366408494fe
artifact_dir: evidence/pull-bundles/vllm/gh-12185
---
# [Kernel] add triton fused moe kernel for gptq/awq

- Repository: `vllm-project/vllm`
- PR: [12185](https://github.com/vllm-project/vllm/pull/12185)
- Decision: `kernel file changes`
- Reason: kernel file changes

## Changed Paths

- `tests/kernels/test_moe.py`
- `vllm/model_executor/layers/fused_moe/fused_moe.py`
- `vllm/model_executor/layers/quantization/__init__.py`
- `vllm/model_executor/layers/quantization/moe_wna16.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-12185`
