diff --git a/codes/models/base_model.py b/codes/models/base_model.py
index f5013921..68959b3d 100644
--- a/codes/models/base_model.py
+++ b/codes/models/base_model.py
@@ -81,6 +81,9 @@ class BaseModel():
         for key, param in state_dict.items():
             state_dict[key] = param.cpu()
         torch.save(state_dict, save_path)
+        # Also save to the 'alt_path' which is useful for caching to Google Drive in colab, for example.
+        if 'alt_path' in self.opt['path'].keys():
+            torch.save(state_dict, os.path.join(self.opt['path']['alt_path'], save_filename))
         return save_path
 
     def load_network(self, load_path, network, strict=True):
@@ -105,6 +108,9 @@ class BaseModel():
         save_filename = '{}.state'.format(iter_step)
         save_path = os.path.join(self.opt['path']['training_state'], save_filename)
         torch.save(state, save_path)
+        # Also save to the 'alt_path' which is useful for caching to Google Drive in colab, for example.
+        if 'alt_path' in self.opt['path'].keys():
+            torch.save(state, os.path.join(self.opt['path']['alt_path'], 'latest.state'))
 
     def resume_training(self, resume_state):
         """Resume the optimizers and schedulers for training"""