Zhenzhong Xu 60995c05b4 [Quantization][Autoround][CPU] Add W4A16 Support (#38192) ...

Signed-off-by: Zhenzhong1 <zhenzhong.xu@intel.com>
Signed-off-by: Zhenzhong Xu <zhenzhong.xu@intel.com>

2026-04-15 18:38:31 +08:00

..

compressed_tensors

[Bugfix][CT] Fix KV cache scale handling (#39418)

2026-04-13 10:50:16 -04:00

online

[W8A8 Block Linear Refactor][2/N] Remove W8A8Fp8BlockLinearOp and adopt Fp8 block linear kernel selections. (#33892)

2026-04-09 08:50:39 +08:00

quark

[MoE] Move GPT OSS Triton kernel experts into fused_moe/experts/ (#39007)

2026-04-14 19:27:39 +00:00

turboquant

[Attention Backend] TurboQuant: 2-bit KV cache compression with 4x capacity (#38479)

2026-04-14 19:57:13 -07:00

utils

[Kernel] Support TRTLLM GEN NVFP4 MoE for non-512-aligned hidden dims via weight padding (#39510)

2026-04-14 11:49:56 -07:00

__init__.py

[Quantization] [Refactor] Create special "GptOssMxfp4MoeMethod" (#39604)

2026-04-13 12:53:58 -04:00

awq_marlin.py

[Quantization] [Refactor] Create special "GptOssMxfp4MoeMethod" (#39604)

2026-04-13 12:53:58 -04:00

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 AWQ models batch invariance issues (#38670)

2026-04-03 14:54:15 +00:00

base_config.py

[Quantization] [Refactor] Create special "GptOssMxfp4MoeMethod" (#39604)

2026-04-13 12:53:58 -04:00

bitsandbytes.py

[MoE Refactor] Make SharedExperts class for use with DefaultMoERunner (#35153)

2026-04-01 09:44:08 -04:00

cpu_wna16.py

[Quantization] [Refactor] Create special "GptOssMxfp4MoeMethod" (#39604)

2026-04-13 12:53:58 -04:00

experts_int8.py

[MoE Refactor] Make SharedExperts class for use with DefaultMoERunner (#35153)

2026-04-01 09:44:08 -04:00

fbgemm_fp8.py

[W8A8 Block Linear Refactor][2/N] Remove W8A8Fp8BlockLinearOp and adopt Fp8 block linear kernel selections. (#33892)

2026-04-09 08:50:39 +08:00

fp8.py

[Refactor] Move MXFP8 GEMM management into MxFp8LinearKernel (#39205)

2026-04-10 14:02:03 -07:00

fp_quant.py

"refactor: refactor_repeated_interfaces" (#32486)

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

gguf.py

[Quantization] [Refactor] Create special "GptOssMxfp4MoeMethod" (#39604)

2026-04-13 12:53:58 -04:00

gptq_marlin.py

[Quantization] [Refactor] Create special "GptOssMxfp4MoeMethod" (#39604)

2026-04-13 12:53:58 -04:00

gptq.py

[ROCm][Bugfix] fix exception related to trust_remote_code for MiniMax-M2.1-MXFP4 (#37698)

2026-03-30 15:49:23 +00:00

inc.py

[Quantization][Autoround][CPU] Add W4A16 Support (#38192)

2026-04-15 18:38:31 +08:00

input_quant_fp8.py

[Bugfix] Fix DeepGemm E8M0 accuracy degradation for Qwen3.5 FP8 on Blackwell (#38083)

2026-03-26 01:21:47 -07:00

kv_cache.py

[Feature] KV cache per-token-head INT8/FP8 quantization (#38378)

2026-04-02 08:13:26 -04:00

modelopt.py

[Quantization] [Refactor] Create special "GptOssMxfp4MoeMethod" (#39604)

2026-04-13 12:53:58 -04:00

moe_wna16.py

[Quantization] [Refactor] Create special "GptOssMxfp4MoeMethod" (#39604)

2026-04-13 12:53:58 -04:00

mxfp4.py

[Quantization] [Refactor] Create special "GptOssMxfp4MoeMethod" (#39604)

2026-04-13 12:53:58 -04:00

mxfp8.py

[Refactor] Move MXFP8 GEMM management into MxFp8LinearKernel (#39205)

2026-04-10 14:02:03 -07:00

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

[Bugfix][CI] fix typos (#34934)

2026-03-05 17:05:46 +00:00