---
id: pr-vllm-33076
repo: vllm-project/vllm
pr: 33076
title: Support compress-tensors with nvfp4 or fp8 weights and modelopt with nvfp4 weights on Turing
author: ir1ka
date: '2026-01-27'
url: https://github.com/vllm-project/vllm/pull/33076
source_category: upstream-code
architectures:
- sm100
tags:
- fp4
- fp8
- nvfp4
- quantization
techniques: []
hardware_features:
- fp4
- fp8
- nvfp4
kernel_types:
- quantization
languages:
- python
captured_at: '2026-04-27'
status: merged
merge_sha: 66e601ef795c27b43025ec7f4f864cac561c322e
inclusion_reason: kernel file changes
changed_paths:
- vllm/model_executor/layers/quantization/compressed_tensors/schemes/compressed_tensors_w4a16_nvfp4.py
- vllm/model_executor/layers/quantization/compressed_tensors/schemes/compressed_tensors_w8a16_fp8.py
- vllm/model_executor/layers/quantization/modelopt.py
head_ref_oid: d6ac935d6195e749a8ff91b4cc3d114551c427ce
artifact_dir: evidence/pull-bundles/vllm/gh-33076
---
# Support compress-tensors with nvfp4 or fp8 weights and modelopt with nvfp4 weights on Turing

- Repository: `vllm-project/vllm`
- PR: [33076](https://github.com/vllm-project/vllm/pull/33076)
- Decision: `kernel file changes`
- Reason: kernel file changes

## Changed Paths

- `vllm/model_executor/layers/quantization/compressed_tensors/schemes/compressed_tensors_w4a16_nvfp4.py`
- `vllm/model_executor/layers/quantization/compressed_tensors/schemes/compressed_tensors_w8a16_fp8.py`
- `vllm/model_executor/layers/quantization/modelopt.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-33076`
