Fix incorrect default get_hidden_dim logic (#8987)

python/sglang/srt/models/qwen3.py

@@ -330,30 +330,6 @@ class Qwen3ForCausalLM(nn.Module):
     def get_input_embeddings(self, input_ids: torch.Tensor) -> torch.Tensor:
         return self.model.get_input_embeddings(input_ids)
 
-    def get_hidden_dim(self, module_name: str) -> Tuple[int]:
-        # return input_dim, output_dim
-        if module_name in ["q_proj", "qkv_proj"]:
-            return (
-                self.config.hidden_size,
-                self.config.head_dim * self.config.num_attention_heads,
-            )
-        elif module_name in ["o_proj"]:
-            return (
-                self.config.head_dim * self.config.num_attention_heads,
-                self.config.hidden_size,
-            )
-        elif module_name in ["kv_proj"]:
-            return (
-                self.config.hidden_size,
-                self.config.head_dim * self.config.num_key_value_heads,
-            )
-        elif module_name == "gate_up_proj":
-            return self.config.hidden_size, self.config.intermediate_size
-        elif module_name == "down_proj":
-            return self.config.intermediate_size, self.config.hidden_size
-        else:
-            raise NotImplementedError()
-
     @torch.no_grad()
     def forward(
         self,