[FIX] trtllm-moe-fp4-renorm for Qwen series models (#14350)

python/sglang/srt/layers/moe/fused_moe_triton/layer.py

@@ -1126,12 +1126,16 @@ class FlashInferFP4MoE(FusedMoE):
         topk_config = topk_output.topk_config
 
         hs_fp4, hs_scale_linear = self._quantize_hidden_states_fp4(hidden_states)
-        router_logits = router_logits.to(torch.float32)
         routing_method_type = self.routing_method_type
         assert (
             routing_method_type is not None
         ), "flashinfer trtllm moe nvfp4 backend has not been adapted for the current moe layer, you can set routing_method_type (See definition of RoutingMethodType please) for the moe layer explicitly for a quick adaptation."
 
+        # DeepSeekV3 style routing requires float32 router logits,
+        # see this PR for details: https://github.com/flashinfer-ai/flashinfer/commit/d84e1d560da0a27961c19ca788d96c19cb9dcfb6
+        if routing_method_type == RoutingMethodType.DeepSeekV3:
+            router_logits = router_logits.to(torch.float32)
+
         correction_bias = (
             None
             if topk_config.correction_bias is None

python/sglang/srt/server_args.py

@@ -1261,7 +1261,6 @@ class ServerArgs:
                 )
                 self.disable_overlap_schedule = True
             if is_sm100_supported():
-                self.attention_backend = "triton"
                 quantization_config = getattr(hf_config, "quantization_config", None)
                 quant_method = (
                     quantization_config.get("quant_method")