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vLLM/vllm/model_executor/kernels/linear
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AlexHuangClaudeKunshang Jimergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
8d4f54966c fix(quantization): Fix AWQ dequantize on Intel XPU and refactor AutoAWQ config (#42727)
Signed-off-by: Alex <alex.tech.lab@outlook.com>
Signed-off-by: AlexHuang <jihuihuang@tencent.com>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Kunshang Ji <kunshang.ji@intel.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2026-06-18 20:12:28 +08:00
..
mixed_precision
fix(quantization): Fix AWQ dequantize on Intel XPU and refactor AutoAWQ config (#42727)
2026-06-18 20:12:28 +08:00
mxfp4
Fix the E8M0 scale computation in the MXFP4 (W4A4) MOE CUTLASS kernel (#43557)
2026-06-15 06:04:54 -07:00
mxfp8
[ROCm][Quant] mxfp8 moe/linear gfx950 tuning for MiniMax-M3 (#45725)
2026-06-16 18:50:40 +00:00
nvfp4
Add the QuantizedActivation linear-kernel contract (#44260)
2026-06-12 13:48:15 -07:00
scaled_mm
[Bugfix][ROCm] Fix FP8 per-tensor scale rank mismatch causing Inductor assertion failure (#44912)
2026-06-16 20:17:42 -07:00
__init__.py
[Model] Add MiniMax M3 support (#45381)
2026-06-16 01:01:25 +08:00
base.py
Add the QuantizedActivation linear-kernel contract (#44260)
2026-06-12 13:48:15 -07:00
zentorch_utils.py
[CPU][Zen] Route W8A8 and W4A16 linear inference through zentorch on AMD Zen CPUs (#41813)
2026-05-30 14:17:21 -05:00
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