a tiny fix for support deepseek bf16 weights (#12313)

Co-authored-by: gaochang <gaochang@U-19PX2WQ1-0350.local>

python/sglang/srt/models/deepseek_v2.py

@@ -2998,7 +2998,7 @@ class DeepseekV2ForCausalLM(nn.Module):
             disable_reason = "Only Deepseek V3/R1 on NV-platform with capability >= 80 can use shared experts fusion optimization."
         elif get_moe_expert_parallel_world_size() > 1:
             disable_reason = "Deepseek V3/R1 can not use shared experts fusion optimization under expert parallelism."
-        elif self.quant_config.get_name() == "w4afp8":
+        elif self.quant_config and self.quant_config.get_name() == "w4afp8":
             disable_reason = "Deepseek V3/R1 W4AFP8 model uses different quant method for routed experts and shared experts."
 
         if disable_reason is not None: