fix: Add speculators weight remapping to llama_eagle model

- Added speculators_name_map to handle fusion_fc -> fc weight remapping
- Also handles transformer.* -> model.layers.0.* prefix remapping
- Fixes KeyError for fusion_fc.weight when loading speculators Eagle models
- Similar to the remapping already added to eagle.py model

Signed-off-by: rtuli@redhat.com

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
Signed-off-by: Rahul Tuli <rtuli@redhat.com>

Author: rahul-tuli

vllm/model_executor/models/llama_eagle.py

@@ -103,7 +103,24 @@ def load_weights(self, weights: Iterable[tuple[str,
         ]
         params_dict = dict(self.named_parameters())
         loaded_params: set[str] = set()
+        
+        # Support for speculators format weights
+        speculators_name_map = {
+            "fusion_fc.weight": "fc.weight",
+            "fusion_fc.bias": "fc.bias",
+            "embedding_layernorm.weight": "enorm.weight",
+            "pre_lm_head_layernorm.weight": "hnorm.weight",
+        }
+        
         for name, loaded_weight in weights:
+            # Handle speculators format weight names
+            if name in speculators_name_map:
+                name = speculators_name_map[name]
+            elif name.startswith("transformer."):
+                # transformer.* -> model.layers.0.*
+                suffix = name[len("transformer."):]
+                name = f"model.layers.0.{suffix}"
+            
             for param_name, weight_name, shard_id in stacked_params_mapping:
                 if weight_name not in name:
                     continue