[ROCM] Enable CompressedTensorsWNA16#27187
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yewentao256 merged 2 commits intovllm-project:mainfrom Oct 21, 2025
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Signed-off-by: JartX <sagformas@epdcenter.es>
Signed-off-by: JartX <sagformas@epdcenter.es>
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This pull request correctly enables CompressedTensorsWNA16 on ROCm platforms by preventing the use of the Marlin MoE kernel, which is not supported on ROCm. The change is simple, effective, and consistent with how other parts of the codebase handle ROCm-specific limitations for Marlin kernels. This allows models using this quantization scheme to run on ROCm, which is a valuable improvement.
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LGTM, thanks for the work!
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hi @yewentao256 have passed all test, can merge it? |
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I'm currently using ROCM with RDNA3. I've been trying to use compressed-tensors for a while, and I thought it was only supported on CUDA.
This change simply avoids entering: CompressedTensorsWNA16MarlinMoEMethod for CUDA when using ROCM and allows inference of a model like the following:
jart25/Qwen3-VL-30B-A3B-Instruct-AWQ-8bit
using: CompressedTensorsWNA16MoEMethod and ExllamaLinearKernel
Note that it must be run with:
export VLLM_USE_TRITON_AWQ=1