vLLM/vllm/model_executor/layers/quantization at 3168285fcaaee09bc93dce7bc9ae6ee823c71652 - vLLM

compressed_tensors

[Feature] EPLB on Qwen3VLMoe and CompressedTensorsWNA16MoEMethod (#28849 )

2025-11-19 18:30:08 -05:00

kernels

[ROCM] Fix ROCm warnings, environment flag access, and GEMM kernel naming for consistency in _aiter_ops.py (#28464 )

2025-11-12 21:46:57 +00:00

quark

[ROCm][Quantization] add apply_vllm_mapper in quark config for models like gpt-oss (#28638 )

2025-11-18 11:16:45 +08:00

utils

[MoE] Nvfp4 Masked Gemm: Add flashinfer grouped_gemm_nt_masked (#25990 )

2025-11-19 13:29:06 -08:00

__init__.py

[CPU] Refactor CPU WNA16 (#28826 )

2025-11-19 10:32:00 +08:00

auto_round.py

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

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

awq_marlin.py

[Bugfix] Disable shared expert overlap if Marlin MoE is used (#28410 )

2025-11-11 23:16:12 +00:00

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

cpu_wna16.py

[CPU] Refactor CPU WNA16 (#28826 )

2025-11-19 10:32:00 +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

[Feat][Perf] Enable deepep-low-latency with round-robin expert placement. (#28449 )

2025-11-19 13:46:24 +01:00

fp_quant.py

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

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

gguf.py

[Model] Add Gemma3 GGUF multimodal support (#27772 )

2025-11-18 08:56:29 -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

[Bugfix] Disable shared expert overlap if Marlin MoE is used (#28410 )

2025-11-11 23:16:12 +00:00

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

[CPU] Refactor CPU WNA16 (#28826 )

2025-11-19 10:32:00 +08:00

kv_cache.py

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

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

modelopt.py

[Refactor] Optimize select_experts (#28069 )

2025-11-19 18:53:15 -05:00

moe_wna16.py

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

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

mxfp4.py

[Bugfix] Fix FusedMoEModularKernel for triton backend (#28913 )

2025-11-19 13:05:22 +08:00

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