[Model] Fix Ernie4.5MoE e_score_correction_bias parameter (#21586)

Signed-off-by: zhouchong <zhouchong03@baidu.com>
Co-authored-by: zhouchong <zhouchong03@baidu.com>

vllm/model_executor/models/ernie45_moe.py

@@ -123,14 +123,19 @@ class Ernie4_5_MoeMoE(nn.Module):
                                      quant_config=None,
                                      prefix=f"{prefix}.gate")
 
-        self.experts = FusedMoE(num_experts=config.moe_num_experts,
+        self.gate.e_score_correction_bias = nn.Parameter(
+            torch.empty(config.moe_num_experts))
+
+        self.experts = FusedMoE(
+            num_experts=config.moe_num_experts,
             top_k=config.moe_k,
             hidden_size=config.hidden_size,
             intermediate_size=config.moe_intermediate_size,
             reduce_results=False,
             renormalize=True,
             quant_config=quant_config,
-                                prefix=f"{prefix}.experts")
+            prefix=f"{prefix}.experts",
+            e_score_correction_bias=self.gate.e_score_correction_bias)
 
         if self.moe_num_shared_experts is not None:
             intermediate_size = (config.moe_intermediate_size *
@@ -459,6 +464,10 @@ class Ernie4_5_MoeModel(nn.Module):
             if "mtp" in name:
                 continue
 
+            if "e_score_correction_bias" in name:
+                name = name.replace("moe_statics", "gate")
+                loaded_weight = loaded_weight.squeeze(0)
+
             for (param_name, weight_name, shard_id) in stacked_params_mapping:
                 # Skip non-stacked layers and experts (experts handled below).
                 if weight_name not in name: