Fix target matching for fused layers with compressed-tensors

vllm/model_executor/layers/quantization/compressed_tensors/utils.py

@@ -103,7 +103,8 @@ def find_matched_target(layer_name: Optional[str], module: Module,
 
     matched_target = (_find_first_match(layer_name, targets)
                       or _find_first_match(module.__class__.__name__, targets,
-                                           True))
+                                           True)
+                      or _match_fused_layer(layer_name, targets))
 
     if matched_target is None:
         raise ValueError(f"Unable to find matching target for {module} in the "
@@ -152,3 +153,39 @@ def _is_equal_or_regex_match(value: str,
     elif target == value:
         return True
     return False
+
+
+def _match_fused_layer(layer_name: str,
+                       target_layers: Iterable[str]) -> Optional[str]:
+    """
+    Match a fused layer name to its corresponding individual layer in 
+    target_layers.
+
+    Examples:
+        layer_name = "model.layers.0.self_attn.qkv_proj"
+        target_layers = ["model.layers.0.self_attn.q_proj",
+                        "model.layers.0.self_attn.k_proj",
+                        "model.layers.0.self_attn.v_proj"]
+    """
+    # Split into parent path and layer type
+    # e.g., "model.layers.0.self_attn" and "qkv_proj"
+    parent_path = ".".join(layer_name.split(".")[:-1])
+    layer_type = layer_name.split(".")[-1]
+
+    if layer_type not in FUSED_LAYER_NAME_MAPPING:
+        return None
+
+    possible_layer_types = FUSED_LAYER_NAME_MAPPING[layer_type]
+
+    # Look for a target layer that:
+    # 1. Has the same parent path
+    # 2. Ends with one of the possible individual layer types
+    for target in target_layers:
+        is_same_parent = parent_path in target
+        is_matching_type = any(type_suffix in target
+                               for type_suffix in possible_layer_types)
+
+        if is_same_parent and is_matching_type:
+            return target
+
+    return None