diff --git a/predictor/common/constant.cpp b/predictor/common/constant.cpp
index c1cd1c8b557e8a201089cd03455b0ac0cccefdb8..36519868ab5327093af20e174b5877191695da2a 100644
--- a/predictor/common/constant.cpp
+++ b/predictor/common/constant.cpp
@@ -41,6 +41,9 @@ DEFINE_int32(reload_interval_s, 10, "");
 DEFINE_bool(enable_model_toolkit, false, "enable model toolkit");
 DEFINE_string(enable_protocol_list, "baidu_std", "set protocol list");
 DEFINE_bool(enable_cube, false, "enable cube");
+DEFINE_string(general_model_path, "./conf", "");
+DEFINE_string(general_model_file, "general_model.prototxt", "");
+DEFINE_bool(enable_general_model, false, "enable general model");
 
 const char* START_OP_NAME = "startup_op";
 }  // namespace predictor
diff --git a/predictor/framework/resource.cpp b/predictor/framework/resource.cpp
index c8346ab9817dcf39a136248f2890390b704f50ec..9b6535e666f9c0927746902948d25b8d3a00f723 100644
--- a/predictor/framework/resource.cpp
+++ b/predictor/framework/resource.cpp
@@ -21,7 +21,7 @@ namespace paddle_serving {
 namespace predictor {
 
 using configure::ResourceConf;
-using configure::GeneralModelConf;
+using configure::GeneralModelConfig;
 using configure::Shape;
 using rec::mcube::CubeAPI;
 // __thread bool p_thread_initialized = false;
@@ -104,29 +104,29 @@ int Resource::general_model_initialize(
     return 0;
   }
 
-  GeneralModelConf model_config;
+  GeneralModelConfig model_config;
   if (configure::read_proto_conf(path, file, &model_config) != 0) {
     LOG(ERROR) << "Failed initialize resource from: " << path << "/" << file;
     return -1;
   }
 
   _config.reset(new PaddleGeneralModelConfig());
-  _config->_feed_type.resize(model_config.is_feed_type_size());
+  _config->_feed_type.resize(model_config.feed_type_size());
   _config->_is_lod_feed.resize(model_config.is_lod_feed_size());
   _config->_capacity.resize(model_config.feed_shape_size());
   _config->_feed_shape.resize(model_config.feed_shape_size());
   for (int i = 0; i < model_config.is_lod_feed_size(); ++i) {
-    _config->feed_type[i] = model_config.feed_type(i);
+    _config->_feed_type[i] = model_config.feed_type(i);
     if (model_config.is_lod_feed(i)) {
       _config->_feed_shape[i] = {-1};
       _config->_is_lod_feed[i] = true;
     } else {
-      _config->capacity[i] = 1;
+      _config->_capacity[i] = 1;
       _config->_is_lod_feed[i] = false;
       for (int j = 0; j < model_config.feed_shape(i).shape_size(); ++j) {
-        int dim = model_cnofig.feed_shape(i).shape(j);
+        int dim = model_config.feed_shape(i).shape(j);
         _config->_feed_shape[i].push_back(dim);
-        _config->capacity[i] *= dim;
+        _config->_capacity[i] *= dim;
       }
     }
   }
diff --git a/predictor/framework/resource.h b/predictor/framework/resource.h
index 1384f72ad2ead6f6f6f7c0f62ddc4a94ed0e9d87..600cf2112e6d86d236ae7ca670015fe1ff37f851 100644
--- a/predictor/framework/resource.h
+++ b/predictor/framework/resource.h
@@ -27,11 +27,10 @@ namespace paddle_serving {
 namespace predictor {
 
 class PaddleGeneralModelConfig {
-  PaddleGeneralModelConfig();
-
-  ~PaddleGeneralModelConfig();
+ public:
+  PaddleGeneralModelConfig() {}
 
-  void load_config(std::string);
+  ~PaddleGeneralModelConfig() {}
 
  public:
   
diff --git a/predictor/src/pdserving.cpp b/predictor/src/pdserving.cpp
index 243a0df64a89acff3b6af7d0a2ef6d0067c8e568..c8e15fca3674e9838ba148f64b9b467d73a73d9b 100644
--- a/predictor/src/pdserving.cpp
+++ b/predictor/src/pdserving.cpp
@@ -45,6 +45,8 @@ using baidu::paddle_serving::predictor::FLAGS_logger_path;
 using baidu::paddle_serving::predictor::FLAGS_logger_file;
 using baidu::paddle_serving::predictor::FLAGS_resource_path;
 using baidu::paddle_serving::predictor::FLAGS_resource_file;
+using baidu::paddle_serving::predictor::FLAGS_general_model_path;
+using baidu::paddle_serving::predictor::FLAGS_general_model_file;
 using baidu::paddle_serving::predictor::FLAGS_reload_interval_s;
 using baidu::paddle_serving::predictor::FLAGS_port;
 
@@ -225,7 +227,7 @@ int main(int argc, char** argv) {
     return -1;
   }
 
-  LOG(INFO) << "Succ initialize general model"
+  LOG(INFO) << "Succ initialize general model";
 
   // FATAL messages are output to stderr
   FLAGS_stderrthreshold = 3;