---
id: pr-vllm-30141
repo: vllm-project/vllm
pr: 30141
title: Add llmcompressor fp8 kv-cache quant (per-tensor and per-attn_head)
author: eldarkurtic
date: '2026-01-22'
url: https://github.com/vllm-project/vllm/pull/30141
source_category: upstream-code
architectures:
- sm100
tags:
- attention
- fp8
- quantization
techniques: []
hardware_features:
- fp8
kernel_types:
- attention
- quantization
languages:
- cuda-cpp
captured_at: '2026-04-27'
status: merged
merge_sha: 44f08af3a75edcd64e525ac619ebb3b52b99a9c5
inclusion_reason: kernel file changes
changed_paths:
- csrc/cache_kernels.cu
- docs/features/quantization/quantized_kvcache.md
- tests/kernels/attention/test_cache.py
- tests/quantization/test_compressed_tensors.py
- vllm/attention/layer.py
- vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors.py
- vllm/model_executor/layers/quantization/input_quant_fp8.py
- vllm/model_executor/layers/quantization/utils/quant_utils.py
- vllm/model_executor/model_loader/weight_utils.py
- vllm/model_executor/models/apertus.py
- vllm/model_executor/models/arcee.py
- vllm/model_executor/models/llama.py
- vllm/model_executor/models/llama_eagle.py
- vllm/model_executor/models/llama_eagle3.py
- vllm/model_executor/models/nemotron_h.py
- vllm/model_executor/models/nemotron_nas.py
- vllm/v1/attention/backend.py
- vllm/v1/attention/backends/flash_attn.py
head_ref_oid: cf5c84807d00ca2fe0b308dcb19b014d88d1df56
artifact_dir: evidence/pull-bundles/vllm/gh-30141
---
# Add llmcompressor fp8 kv-cache quant (per-tensor and per-attn_head)

- Repository: `vllm-project/vllm`
- PR: [30141](https://github.com/vllm-project/vllm/pull/30141)
- Decision: `kernel file changes`
- Reason: kernel file changes

## Changed Paths

- `csrc/cache_kernels.cu`
- `docs/features/quantization/quantized_kvcache.md`
- `tests/kernels/attention/test_cache.py`
- `tests/quantization/test_compressed_tensors.py`
- `vllm/attention/layer.py`
- `vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors.py`
- `vllm/model_executor/layers/quantization/input_quant_fp8.py`
- `vllm/model_executor/layers/quantization/utils/quant_utils.py`
- `vllm/model_executor/model_loader/weight_utils.py`
- `vllm/model_executor/models/apertus.py`
- `vllm/model_executor/models/arcee.py`
- `vllm/model_executor/models/llama.py`
- `vllm/model_executor/models/llama_eagle.py`
- `vllm/model_executor/models/llama_eagle3.py`
- `vllm/model_executor/models/nemotron_h.py`
- `vllm/model_executor/models/nemotron_nas.py`
- `vllm/v1/attention/backend.py`
- `vllm/v1/attention/backends/flash_attn.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-30141`
