diff --git a/src/utils.py b/src/utils.py
index a82285e..22d848d 100755
--- a/src/utils.py
+++ b/src/utils.py
@@ -2087,7 +2087,7 @@ def get_voice_list(dir=get_voice_dir(), append_defaults=False):
 	return res
 
 
-def get_autoregressive_models(dir="./models/finetunes/", prefixed=False):
+def get_autoregressive_models(dir="./models/finetunes/", prefixed=False, auto=False):
 	os.makedirs(dir, exist_ok=True)
 	base = [get_model_path('autoregressive.pth')]
 	halfp = get_halfp_model_path()
@@ -2112,7 +2112,11 @@ def get_autoregressive_models(dir="./models/finetunes/", prefixed=False):
 
 			res[i] = f'[{shorthash}] {path}'
 
-	return ["auto"] + relative_paths(res)
+	paths = relative_paths(res)
+	if auto:
+		paths = ["auto"] + paths 
+
+	return paths
 
 def get_diffusion_models(dir="./models/finetunes/", prefixed=False):
 	return relative_paths([ get_model_path('diffusion_decoder.pth') ])
diff --git a/src/webui.py b/src/webui.py
index 1abed5a..7824d57 100755
--- a/src/webui.py
+++ b/src/webui.py
@@ -610,7 +610,7 @@ def setup_gradio():
 				with gr.Column():
 					# EXEC_SETTINGS['tts_backend'] = gr.Dropdown(TTSES, label="TTS Backend", value=args.tts_backend if args.tts_backend else TTSES[0])
 
-					EXEC_SETTINGS['autoregressive_model'] = gr.Dropdown(choices=autoregressive_models, label="Autoregressive Model", value=args.autoregressive_model if args.autoregressive_model else autoregressive_models[0])
+					EXEC_SETTINGS['autoregressive_model'] = gr.Dropdown(choices=["auto"] + autoregressive_models, label="Autoregressive Model", value=args.autoregressive_model if args.autoregressive_model else "auto")
 					EXEC_SETTINGS['diffusion_model'] = gr.Dropdown(choices=diffusion_models, label="Diffusion Model", value=args.diffusion_model if args.diffusion_model else diffusion_models[0])
 					EXEC_SETTINGS['vocoder_model'] = gr.Dropdown(VOCODERS, label="Vocoder", value=args.vocoder_model if args.vocoder_model else VOCODERS[-1])
 					EXEC_SETTINGS['tokenizer_json'] = gr.Dropdown(tokenizer_jsons, label="Tokenizer JSON Path", value=args.tokenizer_json if args.tokenizer_json else tokenizer_jsons[0])