---
id: pr-vllm-13236
repo: vllm-project/vllm
pr: 13236
title: '[Quant][Perf] Use moe_wna16 kernel by default for MoEs with many experts'
author: mgoin
date: '2025-02-14'
url: https://github.com/vllm-project/vllm/pull/13236
source_category: upstream-code
architectures:
- sm100
tags:
- moe
- quantization
techniques: []
hardware_features: []
kernel_types:
- moe
- quantization
languages:
- python
captured_at: '2026-04-27'
status: merged
merge_sha: 5e5c8e091eacc16672a0a8265eb5cb0ece85d24b
inclusion_reason: kernel file changes
changed_paths:
- tests/weight_loading/test_weight_loading.py
- vllm/model_executor/layers/quantization/awq_marlin.py
- vllm/model_executor/layers/quantization/gptq_marlin.py
- vllm/model_executor/layers/quantization/moe_wna16.py
head_ref_oid: c13deb590a1eed6dd54e4866f2dc58c708bb145a
artifact_dir: evidence/pull-bundles/vllm/gh-13236
---
# [Quant][Perf] Use moe_wna16 kernel by default for MoEs with many experts

- Repository: `vllm-project/vllm`
- PR: [13236](https://github.com/vllm-project/vllm/pull/13236)
- Decision: `kernel file changes`
- Reason: kernel file changes

## Changed Paths

- `tests/weight_loading/test_weight_loading.py`
- `vllm/model_executor/layers/quantization/awq_marlin.py`
- `vllm/model_executor/layers/quantization/gptq_marlin.py`
- `vllm/model_executor/layers/quantization/moe_wna16.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-13236`
