Harry Mellor 2eb673a088 Add flake8-implicit-str-concat rules to Ruff (#33191) ...

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

2026-01-28 04:56:10 +00:00

..

compressed_tensors

Support compress-tensors with nvfp4 or fp8 weights and modelopt with nvfp4 weights on Turing (#33076)

2026-01-27 11:04:05 -05:00

kernels

Add flake8-implicit-str-concat rules to Ruff (#33191)

2026-01-28 04:56:10 +00:00

quark

[5/N][Attention] Finish eliminating vllm/attention folder (#32064)

2026-01-27 10:02:51 -05:00

utils

[AMD][QWEN3-NEXT] FP8 Tunings (#32042)

2026-01-27 09:34:13 +00:00

__init__.py

[Quantization][Deprecation] Remove RTN (#32697)

2026-01-21 16:34:42 +00:00

awq_marlin.py

[MoE Refactor] Move select_experts from FusedMoEQuantMethod -> FusedMoE (#31996)

2026-01-22 18:21:35 -05:00

awq_triton.py

Convert formatting to use ruff instead of yapf + isort (#26247)

2025-10-05 07:06:22 -07:00

awq.py

[Bugfix] Fix missing is_layer_skipped check for FusedMoE in AWQConfig (#32935)

2026-01-23 17:19:56 -05:00

base_config.py

Update Optional[x] -> x | None and Union[x, y] to x | y (#26633)

2025-10-12 09:51:31 -07:00

bitblas.py

Update Optional[x] -> x | None and Union[x, y] to x | y (#26633)

2025-10-12 09:51:31 -07:00

bitsandbytes.py

[MoE Refactor] Move select_experts from FusedMoEQuantMethod -> FusedMoE (#31996)

2026-01-22 18:21:35 -05:00

cpu_wna16.py

[Quantization][Refactor] Move CPU GPTQ kernel into MP linear (#31801)

2026-01-06 19:10:18 +00:00

experts_int8.py

[MoE Refactor] Move select_experts from FusedMoEQuantMethod -> FusedMoE (#31996)

2026-01-22 18:21:35 -05:00

fbgemm_fp8.py

[Refactor] Make FP8 Linear Ops use kernel abstraction (#27814)

2026-01-20 14:48:20 +08:00

fp8.py

[5/N][Attention] Finish eliminating vllm/attention folder (#32064)

2026-01-27 10:02:51 -05:00

fp_quant.py

"refactor: refactor_repeated_interfaces" (#32486)

2026-01-18 22:07:01 +08:00

gguf.py

[MoE Refactor] Move select_experts from FusedMoEQuantMethod -> FusedMoE (#31996)

2026-01-22 18:21:35 -05:00

gptq_bitblas.py

Update Optional[x] -> x | None and Union[x, y] to x | y (#26633)

2025-10-12 09:51:31 -07:00

gptq_marlin_24.py

Update Optional[x] -> x | None and Union[x, y] to x | y (#26633)

2025-10-12 09:51:31 -07:00

gptq_marlin.py

[MoE Refactor] Move select_experts from FusedMoEQuantMethod -> FusedMoE (#31996)

2026-01-22 18:21:35 -05:00

gptq.py

[Kernel] Add GPTQv2 format support for low-bit or asymmetric quantization, by adapting gptq_gemm (#26092)

2025-10-23 23:26:13 -04:00

inc.py

Consolidate Intel Quantization Toolkit Integration in vLLM (#31716)

2026-01-14 07:11:30 +00:00

input_quant_fp8.py

[torch.compile] Compile CustomOp.forward_native for SiluAndMul and QuantFP8 to avoid raw torch ops inside opaque custom ops (#32806)

2026-01-22 19:52:26 -08:00

ipex_quant.py

[MoE Refactor] Move select_experts from FusedMoEQuantMethod -> FusedMoE (#31996)

2026-01-22 18:21:35 -05:00

kv_cache.py

[Bugfix][Attention] Explicitly report support for kv_cache_dtype bfloat16 (#32795)

2026-01-22 19:05:18 +00:00

modelopt.py

Support compress-tensors with nvfp4 or fp8 weights and modelopt with nvfp4 weights on Turing (#33076)

2026-01-27 11:04:05 -05:00

moe_wna16.py

[MoE Refactor] Move select_experts from FusedMoEQuantMethod -> FusedMoE (#31996)

2026-01-22 18:21:35 -05:00

mxfp4.py

[5/N][Attention] Finish eliminating vllm/attention folder (#32064)

2026-01-27 10:02:51 -05:00

petit.py

[5/N][Attention] Finish eliminating vllm/attention folder (#32064)

2026-01-27 10:02:51 -05:00

ptpc_fp8.py

[5/N][Attention] Finish eliminating vllm/attention folder (#32064)

2026-01-27 10:02:51 -05:00

qutlass_utils.py

"refactor: refactor_repeated_interfaces" (#32486)

2026-01-18 22:07:01 +08:00

schema.py

Update Optional[x] -> x | None and Union[x, y] to x | y (#26633)

2025-10-12 09:51:31 -07:00

torchao.py

Support using Int4PreshuffledTensor after loading (#26066)

2025-11-04 06:00:57 -05:00