diff --git a/GPT_SoVITS/TTS_infer_pack/TTS.py b/GPT_SoVITS/TTS_infer_pack/TTS.py
index 694d4a7..61ba7be 100644
--- a/GPT_SoVITS/TTS_infer_pack/TTS.py
+++ b/GPT_SoVITS/TTS_infer_pack/TTS.py
@@ -206,7 +206,7 @@ class TTS:
         self.init_vits_weights(self.configs.vits_weights_path)
         self.init_bert_weights(self.configs.bert_base_path)
         self.init_cnhuhbert_weights(self.configs.cnhuhbert_base_path)
-        self.enable_half_precision(self.configs.is_half)
+        # self.enable_half_precision(self.configs.is_half)
         
         
         
@@ -215,6 +215,8 @@ class TTS:
         self.cnhuhbert_model = CNHubert(base_path)
         self.cnhuhbert_model=self.cnhuhbert_model.eval()
         self.cnhuhbert_model = self.cnhuhbert_model.to(self.configs.device)
+        if self.configs.is_half:
+            self.cnhuhbert_model = self.cnhuhbert_model.half()
         
         
         
@@ -224,6 +226,8 @@ class TTS:
         self.bert_model = AutoModelForMaskedLM.from_pretrained(base_path)
         self.bert_model=self.bert_model.eval()
         self.bert_model = self.bert_model.to(self.configs.device)
+        if self.configs.is_half:
+            self.bert_model = self.bert_model.half()
         
         
 
@@ -255,6 +259,8 @@ class TTS:
         vits_model = vits_model.eval()
         vits_model.load_state_dict(dict_s2["weight"], strict=False)
         self.vits_model = vits_model
+        if self.configs.is_half:
+            self.vits_model = self.vits_model.half()
 
         
     def init_t2s_weights(self, weights_path: str):
@@ -271,6 +277,8 @@ class TTS:
         t2s_model = t2s_model.to(self.configs.device)
         t2s_model = t2s_model.eval()
         self.t2s_model = t2s_model
+        if self.configs.is_half:
+            self.t2s_model = self.t2s_model.half()
         
     def enable_half_precision(self, enable: bool = True):
         '''