diff --git a/funasr/auto/auto_model.py b/funasr/auto/auto_model.py
index 1abdcea57..a6be69115 100644
--- a/funasr/auto/auto_model.py
+++ b/funasr/auto/auto_model.py
@@ -193,7 +193,7 @@ class AutoModel:
                     path=init_param,
                     ignore_init_mismatch=kwargs.get("ignore_init_mismatch", False),
                     oss_bucket=kwargs.get("oss_bucket", None),
-                    scope_map=kwargs.get("scope_map", "module.,None"),
+                    scope_map=kwargs.get("scope_map", []),
                     excludes=kwargs.get("excludes", None),
                 )
             else:
diff --git a/funasr/bin/train.py b/funasr/bin/train.py
index 6650f0a87..569757a6a 100644
--- a/funasr/bin/train.py
+++ b/funasr/bin/train.py
@@ -105,7 +105,7 @@ def main(**kwargs):
                     path=p,
                     ignore_init_mismatch=kwargs.get("ignore_init_mismatch", True),
                     oss_bucket=kwargs.get("oss_bucket", None),
-                    scope_map=kwargs.get("scope_map", "module.,none"),
+                    scope_map=kwargs.get("scope_map", []),
                     excludes=kwargs.get("excludes", None),
                 )
             else:
diff --git a/funasr/models/llm_asr_nar/model.py b/funasr/models/llm_asr_nar/model.py
index a61190c1d..94dae4d90 100644
--- a/funasr/models/llm_asr_nar/model.py
+++ b/funasr/models/llm_asr_nar/model.py
@@ -315,7 +315,7 @@ class LLMASRNAR(nn.Module):
         model_outputs = self.llm(inputs_embeds=inputs_embeds, attention_mask=attention_mask, labels=None)
         preds = torch.argmax(model_outputs.logits, -1)
         text = tokenizer.batch_decode(preds, add_special_tokens=False, skip_special_tokens=True)
-        text = text.split(': "\n')[-1]
+        text = text.split(': \n')[-1]
         # preds = torch.argmax(model_outputs.logits, -1)
         
         ibest_writer = None
diff --git a/funasr/train_utils/load_pretrained_model.py b/funasr/train_utils/load_pretrained_model.py
index ab022dc9b..7a8c37459 100644
--- a/funasr/train_utils/load_pretrained_model.py
+++ b/funasr/train_utils/load_pretrained_model.py
@@ -45,7 +45,7 @@ def load_pretrained_model(
 	ignore_init_mismatch: bool=True,
 	map_location: str = "cpu",
 	oss_bucket=None,
-	scope_map="module.:none",
+	scope_map=[],
 	excludes=None,
 	ignore_mismatch=False,
 	**kwargs,
@@ -75,6 +75,7 @@ def load_pretrained_model(
 	
 	if isinstance(scope_map, str):
 		scope_map = scope_map.split(",")
+	scope_map += ["module.", "None"]
 	
 	for k in dst_state.keys():
 		
@@ -86,9 +87,12 @@ def load_pretrained_model(
 			for i in range(0, len(scope_map), 2):
 				src_prefix = scope_map[i] if scope_map[i].lower() != "none" else ""
 				dst_prefix = scope_map[i+1] if scope_map[i+1].lower() != "none" else ""
-
-				if k.startswith(dst_prefix) and k.replace(dst_prefix, src_prefix) in src_state.keys():
-					k_src = k.replace(dst_prefix, src_prefix)
+				
+				if dst_prefix == "" and (src_prefix + k) in src_state.keys():
+					k_src = src_prefix + k
+					print(f"init param, map: {k} from {k_src} in ckpt")
+				elif k.startswith(dst_prefix) and k.replace(dst_prefix, src_prefix, 1) in src_state.keys():
+					k_src = k.replace(dst_prefix, src_prefix, 1)
 					print(f"init param, map: {k} from {k_src} in ckpt")
 					
 		if k_src in src_state.keys():