vLLM/vllm/model_executor/layers/quantization at a7adbc6c6b4bcdef5cfffdcd06edf86fcbfb7c69 - vLLM

compressed_tensors

[Feature] Add env var VLLM_MOE_USE_DEEP_GEMM (#28422 )

2025-11-11 02:29:48 +00:00

kernels

[RFC][ROCm][AITER] Keep all AITER kernels in _aiter_ops class like _custom_ops and _ipex_ops (#24490 )

2025-11-10 08:20:53 -08:00

quark

[RFC][ROCm][AITER] Keep all AITER kernels in _aiter_ops class like _custom_ops and _ipex_ops (#24490 )

2025-11-10 08:20:53 -08:00

utils

[ROCm] Add missing gemm_a8w8_blockscale import (#28378 )

2025-11-10 23:13:36 +00:00

__init__.py

[Transform] [Quantization] Add QuTLASS support to vLLM (#24440 )

2025-10-10 09:43:40 -07:00

auto_round.py

[Feature][Quantization] auto_round support for mixed bits quantization (#23812 )

2025-10-20 22:23:30 +00:00

awq_marlin.py

[Kernels] Isolate modular kernel code from FusedMoEMethodBase subclasses. (#27123 )

2025-11-04 21:59:45 +08:00

awq_triton.py

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

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

awq.py

[Quantization] Automatically infer AWQ modules_to_not_convert field (#26909 )

2025-10-21 01:49:28 +00:00

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

[Kernels] Isolate modular kernel code from FusedMoEMethodBase subclasses. (#27123 )

2025-11-04 21:59:45 +08:00

deepspeedfp.py

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

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

experts_int8.py

[Kernels] Isolate modular kernel code from FusedMoEMethodBase subclasses. (#27123 )

2025-11-04 21:59:45 +08:00

fbgemm_fp8.py

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

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

fp8.py

[Feature] Add env var VLLM_MOE_USE_DEEP_GEMM (#28422 )

2025-11-11 02:29:48 +00:00

fp_quant.py

[Chore] Clean up pytorch helper functions in vllm.utils (#26908 )

2025-10-18 09:48:22 -07:00

gguf.py

[Kernels] Isolate modular kernel code from FusedMoEMethodBase subclasses. (#27123 )

2025-11-04 21:59:45 +08:00

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

[Kernels] Isolate modular kernel code from FusedMoEMethodBase subclasses. (#27123 )

2025-11-04 21:59:45 +08:00

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

hqq_marlin.py

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

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

inc.py

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

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

input_quant_fp8.py

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

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

ipex_quant.py

[XPU] Enable Expert parallel for MoE models (#28263 )

2025-11-08 00:33:11 +00:00

kv_cache.py

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

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

modelopt.py

[Bugfix] Use latency MOE backend as default for Flashinfer and other misc fixes (#27439 )

2025-11-07 04:18:39 -08:00

moe_wna16.py

[Kernels] Isolate modular kernel code from FusedMoEMethodBase subclasses. (#27123 )

2025-11-04 21:59:45 +08:00

mxfp4.py

[XPU] Enable Expert parallel for MoE models (#28263 )

2025-11-08 00:33:11 +00:00

petit.py

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

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

ptpc_fp8.py

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

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

qutlass_utils.py

[MISC] fix import violations for re and triton modules (#26654 )

2025-10-16 03:38:27 -07:00

rtn.py

[Kernels] Isolate modular kernel code from FusedMoEMethodBase subclasses. (#27123 )

2025-11-04 21:59:45 +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

tpu_int8.py

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

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