diff --git a/src/twinkle/model/multi_lora.py b/src/twinkle/model/multi_lora.py
index df60e9f4..d8be4832 100644
--- a/src/twinkle/model/multi_lora.py
+++ b/src/twinkle/model/multi_lora.py
@@ -478,12 +478,15 @@ def _loader(self):
 
     def save_lora_converter(self, name, parameter, adapter_name):
         _lora = self.find_lora(adapter_name)
-        pattern = re.compile(rf'\.lora_\w+\.{adapter_name}\.')
-        pattern_no_adapter = re.compile(r'\.lora_\w+\.weight')
-        if (pattern.search(name) or pattern_no_adapter.search(name)) and self.match_target_modules(
+        # Skip weights belonging to OTHER adapters
+        if re.search(r'\.lora_\w+\.\w+\.', name) and not re.search(rf'\.lora_\w+\.{adapter_name}\.', name):
+            return None
+        if re.search(rf'\.lora_\w+\.({adapter_name}|weight)', name) and self.match_target_modules(
                 name, _lora.tenant_config.target_modules):
             _param = torch_util.to_local_tensor(parameter)
-            if 'embedding_A' in name:
+            if _param is None:
+                pass
+            elif 'embedding_A' in name:
                 _param = _param[:, :_lora.tenant_config.r]
             elif 'embedding_B' in name:
                 _param = _param[:_lora.tenant_config.r, :]