vLLM/vllm/model_executor/layers/quantization at 37c9859fab60bbc346be20a662387479eb0760de - vLLM

compressed_tensors

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

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

kernels

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

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

quark

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

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

utils

[Refactor] Clean up unused variables & func (#32692 )

2026-01-23 17:04:25 -05:00

__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

[Kernel][Quantization] add w4a8 support for marlin kernel (#24722 )

2025-11-29 07:19:33 -08:00

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

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

2026-01-22 18:21:35 -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

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

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

moe_wna16.py

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

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

mxfp4.py

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

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

petit.py

[Attention] Update attention imports (#29540 )

2025-11-27 11:19:09 -05:00

ptpc_fp8.py

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

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

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