finally worked

app.py

@@ -209,7 +209,8 @@ def quantize(model_path, repo_id, quant_method=None):
 
 def create_readme(repo_name, base_model_name, lora_model_name, quant_methods):
     readme_path = os.path.join("output", repo_name, "README.md")
-    readme_template = """---tags:
+    readme_template = """---
+tags:
 - autotrain
 - text-generation-inference
 - text-generation
@@ -284,7 +285,7 @@ def process_model(base_model_name, lora_model_name, repo_name, quant_methods, hf
         
         
         # 量化模型
-        for quant_method in quant_methods:
+        for quant_method in quant_methods[::-1]:
             quantize(output_dir, repo_name, quant_method=quant_method)
             
         create_readme(repo_name, base_model_name, lora_model_name, quant_methods)
@@ -338,7 +339,7 @@ def create_ui():
                 )
                 quant_method = gr.CheckboxGroup(
                     choices=["Q2_K", "Q4_K", "IQ4_NL", "Q5_K_M", "Q6_K", "Q8_0"],
-                    value=["Q4_K", "Q8_0"],
+                    value=["Q2_K", "Q4_K", "IQ4_NL", "Q5_K_M", "Q6_K", "Q8_0"],
                     label="Quantization Method"
                 )
                 hf_token = gr.Textbox(