diff --git a/tools/model_convert/README.md b/tools/model_convert/README.md
index af18aec52764662b4061cb53f8d7cc86d22927ef..6689f58d164e50231f1af94269d7e62a8e268c95 100644
--- a/tools/model_convert/README.md
+++ b/tools/model_convert/README.md
@@ -12,7 +12,7 @@
 
 > **tf1**
 <br>
-tensorflow == 1.15.0 <br>
+tensorflow == 1.15.0 / 1.15.4<br>
 numpy == 1.21.6 <br>
 python == 3.7.5 <br>
 
@@ -32,7 +32,7 @@ python == 3.7.5 <br>
 **使用范例：**
 
 示例如下：<br>
-`python3 model_covert.py --input_path=./saved_model --output_path=./saved-model-out --rank_size=8 --estimator=1 --ddr=1`
+`python3 model_convert.py --input_path=./saved_model --output_path=./saved-model-out --rank_size=8 --estimator=1 --ddr=1`
 
 打屏日志输出 `convert model success.` 代表模型成功转换完成。
 
diff --git a/tools/model_convert/model_convert.py b/tools/model_convert/model_convert.py
index 70b26e8e4d373355edbedb9a1c52d94899dafe00..257b3c438337a443d8028795e19fb6c81dc6d409 100644
--- a/tools/model_convert/model_convert.py
+++ b/tools/model_convert/model_convert.py
@@ -48,6 +48,7 @@ class ModelConverter:
             os.makedirs(self._output_path)
         self._build_input_model_list(self._is_estimator)
         self._build_sparse_file_list()
+        self._check_mode()
         self._build_table_info_dict()
 
     def convert(self):
@@ -197,6 +198,16 @@ class ModelConverter:
                 data_shape = emb_attributes.pop(DataAttr.SHAPE.value)
                 self.table_info_dict[table_name] = data_shape[1]
 
+    def _check_mode(self):
+        check_dir = os.path.join(self.sparse_file_list[0], "HashTable")
+        model_dirs = []
+        for _, dirs, _ in os.walk(check_dir):
+            model_dirs.append(dirs)
+        if not self._is_ddr and "DDR" in model_dirs[0]:
+            raise ValueError(f"wrong mode choose! you choose hbm mode, however ddr dir exists. ")
+        if self._is_ddr and "DDR" not in model_dirs[0]:
+            raise ValueError(f"wrong mode choose! you choose ddr mode, however ddr dir not exists. ")
+
 
 def get_attribute_and_data_file(table_path):
     if not os.path.exists(table_path):