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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 6, 08:15 UTC

[Bugfix] Reject channelwise quantization (group_size <= 0) in ExllamaLinearKernel (#37331)

Signed-off-by: Matthias Gehre <matthias.gehre@amd.com>

Matthias Gehre committed Mar 20, 2026 at 16:31 UTC 56a62c310cc4840671949488c60c40df5e0e2f1f
1 file changed +7
vllm/model_executor/kernels/linear/mixed_precision/exllama.py
+7
@@ -59,6 +59,13 @@ class ExllamaLinearKernel(MPLinearKernel):
59 f"{cls.SUPPORTED_QUANT_TYPES}",
60 )
61
62 + if c.group_size <= 0:
63 + return (
64 + False,
65 + f"Group size ({c.group_size}) must be positive, "
66 + "Exllama does not support channelwise quantization",
67 + )
68 +
69 if c.full_weight_shape[0] % c.group_size != 0:
70 return (
71 False,