diff --git a/funasr/auto/auto_model.py b/funasr/auto/auto_model.py
index d99fc5613..7a79d63aa 100644
--- a/funasr/auto/auto_model.py
+++ b/funasr/auto/auto_model.py
@@ -174,7 +174,7 @@ def build_model(self, **kwargs):
         # build model
         model_class = tables.model_classes.get(kwargs["model"])
         model = model_class(**kwargs, **kwargs["model_conf"], vocab_size=vocab_size)
-        model.eval()
+        
         model.to(device)
         
         # init_param
@@ -209,6 +209,7 @@ def inference(self, input, input_len=None, model=None, kwargs=None, key=None, **
         kwargs = self.kwargs if kwargs is None else kwargs
         kwargs.update(cfg)
         model = self.model if model is None else model
+        model.eval()
 
         batch_size = kwargs.get("batch_size", 1)
         # if kwargs.get("device", "cpu") == "cpu":
diff --git a/funasr/models/fsmn_vad_streaming/model.py b/funasr/models/fsmn_vad_streaming/model.py
index 5fc6aae2f..4fd18c85f 100644
--- a/funasr/models/fsmn_vad_streaming/model.py
+++ b/funasr/models/fsmn_vad_streaming/model.py
@@ -575,7 +575,8 @@ def inference(self,
 		
 		time1 = time.perf_counter()
 		is_streaming_input = kwargs.get("is_streaming_input", False) if chunk_size >= 15000 else kwargs.get("is_streaming_input", True)
-		cfg = {"is_final": kwargs.get("is_final", False), "is_streaming_input": is_streaming_input}
+		is_final = kwargs.get("is_final", False) if is_streaming_input else kwargs.get("is_final", True)
+		cfg = {"is_final": is_final, "is_streaming_input": is_streaming_input}
 		audio_sample_list = load_audio_text_image_video(data_in,
 		                                                fs=frontend.fs,
 		                                                audio_fs=kwargs.get("fs", 16000),