---
id: pr-vllm-16038
repo: vllm-project/vllm
pr: 16038
title: '[Kernel] Use moe_wna16 kernel for compressed tensors wna16 moe models'
author: mgoin
date: '2025-04-10'
url: https://github.com/vllm-project/vllm/pull/16038
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: c70cf0fe061dc92a5608a67adbd12f82c52f8d9c
inclusion_reason: kernel file changes
changed_paths:
- .buildkite/lm-eval-harness/configs/Qwen1.5-MoE-W4A16-compressed-tensors.yaml
- .buildkite/lm-eval-harness/configs/models-small.txt
- vllm/model_executor/layers/fused_moe/layer.py
- vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors.py
- vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe.py
head_ref_oid: 6956753edf3cc33c3548692a6598311e67248559
artifact_dir: evidence/pull-bundles/vllm/gh-16038
---
# [Kernel] Use moe_wna16 kernel for compressed tensors wna16 moe models

- Repository: `vllm-project/vllm`
- PR: [16038](https://github.com/vllm-project/vllm/pull/16038)
- Decision: `kernel file changes`
- Reason: kernel file changes

## Changed Paths

- `.buildkite/lm-eval-harness/configs/Qwen1.5-MoE-W4A16-compressed-tensors.yaml`
- `.buildkite/lm-eval-harness/configs/models-small.txt`
- `vllm/model_executor/layers/fused_moe/layer.py`
- `vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors.py`
- `vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-16038`
