---
id: pr-vllm-25968
repo: vllm-project/vllm
pr: 25968
title: '[Quantization/NVFP4] Speed up TRTLLM NVFP4 MOE weight loading and fix K/V scale loading for MLA Attn'
author: pavanimajety
date: '2025-10-03'
url: https://github.com/vllm-project/vllm/pull/25968
source_category: upstream-code
architectures:
- sm100
tags:
- fp4
- mla
- moe
- nvfp4
- quantization
techniques: []
hardware_features:
- fp4
- nvfp4
kernel_types:
- mla
- moe
- quantization
languages:
- python
captured_at: '2026-04-27'
status: merged
merge_sha: a26917332fabf5fee6544f2215e211f59d27a774
inclusion_reason: kernel file changes
changed_paths:
- vllm/model_executor/layers/quantization/kv_cache.py
- vllm/model_executor/layers/quantization/modelopt.py
- vllm/model_executor/model_loader/weight_utils.py
head_ref_oid: 165b8ded6a8ce091e713b17a497de53e0d18de41
artifact_dir: evidence/pull-bundles/vllm/gh-25968
---
# [Quantization/NVFP4] Speed up TRTLLM NVFP4 MOE weight loading and fix K/V scale loading for MLA Attn

- Repository: `vllm-project/vllm`
- PR: [25968](https://github.com/vllm-project/vllm/pull/25968)
- Decision: `kernel file changes`
- Reason: kernel file changes

## Changed Paths

- `vllm/model_executor/layers/quantization/kv_cache.py`
- `vllm/model_executor/layers/quantization/modelopt.py`
- `vllm/model_executor/model_loader/weight_utils.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-25968`
