diff --git a/aikg/python/ai_kernel_generator/core/verifier/adapters/dsl/swft.py b/aikg/python/ai_kernel_generator/core/verifier/adapters/dsl/swft.py
index 649ecab2a65420d5f1689adf5e1f14b11a98be0e..79748935a18101ace682d8b2be3cda386b85fbe3 100644
--- a/aikg/python/ai_kernel_generator/core/verifier/adapters/dsl/swft.py
+++ b/aikg/python/ai_kernel_generator/core/verifier/adapters/dsl/swft.py
@@ -28,7 +28,25 @@ class DSLAdapterSwft(DSLAdapter):
     
     def get_impl_import(self, op_name: str, impl_func_name: str) -> str:
         """Return implementation function import."""
-        return f"from {op_name}_swft import {impl_func_name}\n"
+        return f"from {op_name}_swft import ModelNew\n"
+    
+    def create_impl_module(self, framework: str,
+                          framework_adapter: Any, 
+                          init_params_var: str = "init_params",
+                          device_var: str = "device") -> str:
+        """生成创建 impl_model 的代码（只实例化一次）。
+        
+        Args:
+            framework: Framework name (torch, mindspore, numpy)
+            framework_adapter: Framework adapter instance
+            init_params_var: Variable name for init_params (default: "init_params")
+            device_var: Variable name for device (default: "device")
+            
+        Returns:
+            str: Code string to create impl_model
+        """
+        code = f"impl_model = ModelNew(*{init_params_var})\n"
+        return code
     
     def call_impl(self, impl_func_name: str, inputs: str, device_id: int,
                   framework_adapter: Any, op_name: str, 
@@ -50,7 +68,7 @@ class DSLAdapterSwft(DSLAdapter):
         gen_binary_data({inputs}, {framework_output}, data_dir)
         
         # 运行SWFT实现
-        {impl_func_name}(device_id=int({device_id}))
+        impl_model(*{inputs})
         
         # 加载SWFT输出
         impl_output = load_binary_data(data_dir, {framework_output})
@@ -87,7 +105,7 @@ class DSLAdapterSwft(DSLAdapter):
         import time
         start_time = time.time()
         for _ in range({warmup + runs}):
-            {impl_func_name}(device_id=int({device_id}))
+            impl_model(*{inputs})
         end_time = time.time()
         execution_time_ms = (end_time - start_time) * 1000 / {warmup + runs}  # 转换为毫秒
         method = "traditional_timing"
diff --git a/aikg/python/ai_kernel_generator/resources/templates/kernel_verify_template_refactored.j2 b/aikg/python/ai_kernel_generator/resources/templates/kernel_verify_template_refactored.j2
index 667462011d33a0d2c021f7a866bc8062e48afefe..ef7a90fa484bab0032df01285a594dd3becaab93 100644
--- a/aikg/python/ai_kernel_generator/resources/templates/kernel_verify_template_refactored.j2
+++ b/aikg/python/ai_kernel_generator/resources/templates/kernel_verify_template_refactored.j2
@@ -214,14 +214,14 @@ def verify_implementations():
         {{ line }}
         {% endfor %}
 
+        # 运行原始实现
+        framework_output = framework_model(*inputs_for_framework)
+
         # 运行实现 (generated by DSLAdapter)
         {% for line in call_impl_code %}
         {{ line }}
         {% endfor %}
 
-        # 运行原始实现
-        framework_output = framework_model(*inputs_for_framework)
-
         if not isinstance(framework_output, (list, tuple)):
             framework_output = [framework_output]
         if not isinstance(impl_output, (list, tuple)):