Mistral Large 3 NVFP4 TRTLLM MoE support (#15049)
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@@ -1790,8 +1790,9 @@ class ServerArgs:
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"modelopt_fp4",
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"fp8",
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"modelopt_fp8",
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"compressed-tensors",
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None,
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], f"Invalid quantization '{self.quantization}'. \nFlashInfer TRTLLM MOE supports only: 'modelopt_fp4', 'fp8', 'modelopt_fp8', or bfloat16 (None)."
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], f"Invalid quantization '{self.quantization}'. \nFlashInfer TRTLLM MOE supports only: 'modelopt_fp4', 'fp8', 'modelopt_fp8', 'compressed-tensors', or bfloat16 (None)."
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self.disable_shared_experts_fusion = True
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logger.warning(
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"FlashInfer TRTLLM MoE is enabled. --disable-shared-experts-fusion is automatically set."
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