diff --git a/doc/INFERENCE_TO_SERVING.md b/doc/INFERENCE_TO_SERVING.md
index 8334159ea255ca65241a2b567e43682a148bb775..e10ee976fb455c8cc49a0d5fa44ed4cc1f300ba9 100644
--- a/doc/INFERENCE_TO_SERVING.md
+++ b/doc/INFERENCE_TO_SERVING.md
@@ -2,6 +2,20 @@
 
 ([简体中文](./INFERENCE_TO_SERVING_CN.md)|English)
 
+We should know something before converting to serving model
+
+**inference_model_dir**：the directory of Paddle inference model
+
+**serving_client_dir**: the directory of server side configuration
+
+**serving_client_dir**: the directory of client side configuration
+
+**model_filename**: this is model description file whose default value is `__model__`, if it's not default name, set `model_filename` explicitly
+
+**params_filename**: during `save_inference_model` every Variable will be save as a single file. If we have the inference model whose params are compressed into one file, please set `params_filename` explicitly
+
+
+
 ## Example
 
 ``` python
@@ -12,3 +26,11 @@ serving_server_dir = "serving_server_dir"
 feed_var_names, fetch_var_names = inference_model_to_serving(
 		inference_model_dir, serving_client_dir, serving_server_dir)
 ```
+
+if your model file and params file are both standalone, please use the following api.
+
+```
+feed_var_names, fetch_var_names = inference_model_to_serving(
+		inference_model_dir, serving_client_dir, serving_server_dir,
+		model_filename="model", params_filename="params")
+```
diff --git a/doc/INFERENCE_TO_SERVING_CN.md b/doc/INFERENCE_TO_SERVING_CN.md
index 94d1def424db467e200020c69fbd6d1599a5ffde..e7e909ac04be3b1a0885b3390d99a153dfbd170e 100644
--- a/doc/INFERENCE_TO_SERVING_CN.md
+++ b/doc/INFERENCE_TO_SERVING_CN.md
@@ -4,6 +4,19 @@
 
 ## 示例
 
+在下列代码中，我们需要知道以下信息。
+
+**模型文件夹**：这个文件夹就是Paddle的inference_model所在的文件夹
+
+**serving_client_dir**: 这个文件夹是inference_model转换成Serving模型后，服务端配置的保存路径
+
+**serving_client_dir**: 这个文件夹是inference_model转换成Serving模型后，客户端配置的保存路径
+
+**模型描述文件**: 模型描述文件也就是`model_filename`默认值为`__model__`,是一个pb2文本文件，如果是别的文件名需要显式指定
+
+**模型参数文件**: 在`save_inference_model`阶段，默认方式是每一个Variable保存一个二进制文件，如果是这种情况就不需要做指定。如果所有参数用压缩成一个文件的形式保存，则需要显式指定`params_filename`
+
+
 ``` python
 from paddle_serving_client.io import inference_model_to_serving
 inference_model_dir = "your_inference_model"
@@ -12,3 +25,9 @@ serving_server_dir = "serving_server_dir"
 feed_var_names, fetch_var_names = inference_model_to_serving(
 		inference_model_dir, serving_client_dir, serving_server_dir)
 ```
+如果模型中有模型描述文件`model_filename` 和 模型参数文件`params_filename`，那么请用
+```
+feed_var_names, fetch_var_names = inference_model_to_serving(
+		inference_model_dir, serving_client_dir, serving_server_dir,
+		 model_filename="model", params_filename="params")
+```