diff --git a/torchy_baselines/common/base_class.py b/torchy_baselines/common/base_class.py
index b2c6056..57c27b0 100644
--- a/torchy_baselines/common/base_class.py
+++ b/torchy_baselines/common/base_class.py
@@ -270,15 +270,6 @@ class BaseRLModel(object):
             raise ValueError("Optimizer Parameters where given but no overloaded load function exists for this class")
         self.policy.load_state_dict(load_dict)
 
-    @abstractmethod
-    def save(self, save_path):
-        """
-        Save the current parameters to file
-
-        :param save_path: (str or file-like object) the save location
-        """
-        raise NotImplementedError()
-
     @classmethod
     def load(cls, load_path, env=None, **kwargs):
         """
@@ -512,15 +503,27 @@ class BaseRLModel(object):
                     with file_.open(file_name + '.pth', mode="w") as opt_param_file:
                         th.save(dict, opt_param_file)
 
-
     def save(self, path):
         """
-        saves all the params from init and pytorch params in a file for continous learning
+        saves all the params from init and pytorch params in a file for continuous learning
 
-        :param path: path to the file where the data should be safed
+        :param path: path to the file where the data should be saved
+        :return:
+        """
+        data = self.__dict__
+        data.pop("replay_buffer")
+        params_to_save = self.get_policy_parameters()
+        opt_params_to_save = self.get_opt_parameters()
+        self._save_to_file_zip(path, data=data, params=params_to_save, opt_params=opt_params_to_save)
+
+    def save_with_replay_buffer(self, path):
+        """
+        saves all the params from init and pytorch params in a file for continuous learning
+
+        :param path: path to the file where the data should be saved
         :return:
         """
         data = self.__dict__
         params_to_save = self.get_policy_parameters()
         opt_params_to_save = self.get_opt_parameters()
-        self._save_to_file_zip(path, data=data, params=params_to_save,opt_params=opt_params_to_save)
+        self._save_to_file_zip(path, data=data, params=params_to_save, opt_params=opt_params_to_save)