elvischenv 16a45b3a28

[NVIDIA] Support SiluMul + NVFP4 quant fusion (#23671) ...

Signed-off-by: jindih <jindih@nvidia.com>
Signed-off-by: elvischenv <219235043+elvischenv@users.noreply.github.com>
Co-authored-by: jindih <jindih@nvidia.com>
Co-authored-by: Michael Goin <mgoin64@gmail.com>
Co-authored-by: Luka Govedic <lgovedic@redhat.com>

2025-08-28 19:36:50 +00:00

..

awq

[Kernel] Fix awq error when n is not divisable by 128 (#13227)

2025-02-13 20:07:05 -08:00

compressed_tensors

[AMD][CI/Build][Bugfix] Guarding CUDA specific functions by ifndef ROCM (#21766)

2025-07-29 03:35:37 +00:00

cutlass_w4a8

[kernel] Support W4A8 on Hopper (#23198)

2025-08-24 06:18:04 +00:00

cutlass_w8a8

[Kernel] CUTLASS MoE FP8: Integrate cuda moe permute/unpermute (#23045)

2025-08-20 10:35:26 -04:00

fp4

[NVIDIA] Support SiluMul + NVFP4 quant fusion (#23671)

2025-08-28 19:36:50 +00:00

fp8

[Feature] Non-contiguous Support for FP8 Quantization (#21961)

2025-08-05 02:36:43 -07:00

fused_kernels

[Perf] Tune scaled_fp8_quant by increasing vectorization (#18844)

2025-06-03 13:48:25 -07:00

gguf

[Bugfix][ROCm] Fix for warp_size uses on host (#21205)

2025-07-24 00:37:19 -07:00

gptq

[MISC] Remove unused variableds in C++ (#19609)

2025-06-15 20:05:28 -07:00

gptq_allspark

[Easy] Eliminate c10::optional usage in vllm/csrc (#17819)

2025-05-08 03:05:10 -07:00

gptq_marlin

[Kernel] [Quantization] Add MXFP4 and bias support for marlin kernel (#22428)

2025-08-14 11:23:22 -07:00

machete

[Kernel/Quant] Remove the original marlin format and qqq (#23204)

2025-08-20 15:13:36 -04:00

marlin/sparse

[Kernel/Quant] Remove the original marlin format and qqq (#23204)

2025-08-20 15:13:36 -04:00

activation_kernels.cu

[Bugfix][ROCm] Fix for warp_size uses on host (#21205)

2025-07-24 00:37:19 -07:00

per_token_group_quant_8bit.h

[Perf] Cuda Kernel for Int8 Per Token Group Quant (#21476)

2025-07-25 17:07:07 -07:00

utils.cuh

[Feature][ROCm]Enable fusion pass for torch.compile on ROCm (#15050)

2025-03-31 04:42:18 -07:00

vectorization_utils.cuh

Make sure that vectorize_with_alignment produced vectorized global loads (#23182)

2025-08-21 20:06:54 +00:00

vectorization.cuh

[Perf] Tune scaled_fp8_quant by increasing vectorization (#18844)

2025-06-03 13:48:25 -07:00