fix: support for gemma 4 (#287)

src/heretic/model.py

@@ -169,18 +169,19 @@ class Model:
         # across layers (e.g. "o_proj" on attention layers, "out_proj" on linear attention layers).
         target_modules_set: set[str] = set()
 
-        for layer_index, layer in enumerate(self.get_layers()):
-            module_id_to_leaf_name = {
-                id(module): module_name.split(".")[-1]
-                for module_name, module in layer.named_modules()
+        module_id_to_full_name = {
+            id(module): module_name
+            for module_name, module in self.model.named_modules()
         }
 
+        for layer_index in range(len(self.get_layers())):
             for modules in self.get_layer_modules(layer_index).values():
                 for module in modules:
-                    if id(module) in module_id_to_leaf_name:
-                        target_modules_set.add(module_id_to_leaf_name[id(module)])
+                    full_name = module_id_to_full_name.get(id(module))
+                    if full_name is not None:
+                        target_modules_set.add(full_name)
 
-        target_modules = list(target_modules_set)
+        target_modules = sorted(target_modules_set)
 
         if self.settings.row_normalization != RowNormalization.FULL:
             # Rank 1 is sufficient for directional ablation without renormalization.
@@ -204,7 +205,10 @@ class Model:
         # so the result is a PeftModel rather than a PeftMixedModel.
         self.model = cast(PeftModel, get_peft_model(self.model, self.peft_config))
 
-        print(f"* LoRA adapters initialized (targets: {', '.join(target_modules)})")
+        display_targets = sorted({name.rsplit(".", 1)[-1] for name in target_modules})
+        print(
+            f"* LoRA adapters initialized (target types: {', '.join(display_targets)})"
+        )
 
     def _get_quantization_config(self, dtype: str) -> BitsAndBytesConfig | None:
         """