diff --git a/src/llmtuner/webui/common.py b/src/llmtuner/webui/common.py
index 4e1ea0ae..728fbd6b 100644
--- a/src/llmtuner/webui/common.py
+++ b/src/llmtuner/webui/common.py
@@ -49,11 +49,8 @@ def get_model_path(model_name: str) -> str:
 
 
 def get_template(
-        template: str,
         model_name: str,
 ) -> str:
-    if template and template != "default":
-        return template
     if model_name == "Custom":
         model_name_or_path = get_model_path(model_name)
         # get last dir
diff --git a/src/llmtuner/webui/components/top.py b/src/llmtuner/webui/components/top.py
index 8611e280..caceb1e5 100644
--- a/src/llmtuner/webui/components/top.py
+++ b/src/llmtuner/webui/components/top.py
@@ -4,7 +4,7 @@ import gradio as gr
 
 from llmtuner.extras.constants import METHODS, SUPPORTED_MODELS
 from llmtuner.extras.template import templates
-from llmtuner.webui.common import list_checkpoint, get_model_path, save_config
+from llmtuner.webui.common import list_checkpoint, get_model_path, save_config, get_template
 from llmtuner.webui.utils import can_quantize
 
 if TYPE_CHECKING:
@@ -39,6 +39,7 @@ def create_top() -> Dict[str, "Component"]:
     ) # do not save config since the below line will save
 
     model_path.change(save_config, [lang, model_name, model_path])
+    model_path.change(get_template, [model_name], [template])
 
     finetuning_type.change(
         list_checkpoint, [model_name, finetuning_type], [checkpoints]
diff --git a/src/llmtuner/webui/runner.py b/src/llmtuner/webui/runner.py
index 00918297..07811258 100644
--- a/src/llmtuner/webui/runner.py
+++ b/src/llmtuner/webui/runner.py
@@ -113,7 +113,7 @@ class Runner:
             checkpoint_dir=checkpoint_dir,
             finetuning_type=finetuning_type,
             quantization_bit=int(quantization_bit) if quantization_bit != "None" else None,
-            template=get_template(template, model_name),
+            template=template,
             source_prefix=source_prefix,
             dataset_dir=dataset_dir,
             dataset=",".join(dataset),
@@ -197,7 +197,7 @@ class Runner:
             checkpoint_dir=checkpoint_dir,
             finetuning_type=finetuning_type,
             quantization_bit=int(quantization_bit) if quantization_bit != "None" else None,
-            template=get_template(template, model_name),
+            template=template,
             source_prefix=source_prefix,
             dataset_dir=dataset_dir,
             dataset=",".join(dataset),