[Misc][Model][Refactor] Pass the prefix into Linear layers (#31669)

Signed-off-by: Wang Kunpeng <1289706727@qq.com>

vllm/model_executor/models/qwen.py

@@ -56,13 +56,22 @@ class QWenMLP(nn.Module):
         intermediate_size: int,
         hidden_act: str = "silu",
         quant_config: QuantizationConfig | None = None,
+        prefix: str = "",
     ):
         super().__init__()
         self.gate_up_proj = MergedColumnParallelLinear(
-            hidden_size, [intermediate_size] * 2, bias=False, quant_config=quant_config
+            hidden_size,
+            [intermediate_size] * 2,
+            bias=False,
+            quant_config=quant_config,
+            prefix=f"{prefix}.gate_up_proj",
         )
         self.c_proj = RowParallelLinear(
-            intermediate_size, hidden_size, bias=False, quant_config=quant_config
+            intermediate_size,
+            hidden_size,
+            bias=False,
+            quant_config=quant_config,
+            prefix=f"{prefix}.c_proj",
         )
         if hidden_act != "silu":
             raise ValueError(
@@ -163,7 +172,10 @@ class QWenBlock(nn.Module):
         self.ln_2 = RMSNorm(config.hidden_size, eps=config.layer_norm_epsilon)
 
         self.mlp = QWenMLP(
-            config.hidden_size, config.intermediate_size // 2, quant_config=quant_config
+            config.hidden_size,
+            config.intermediate_size // 2,
+            quant_config=quant_config,
+            prefix=f"{prefix}.mlp",
         )
 
     def forward(