diff --git a/examples/manual_model_config.py b/examples/manual_model_config.py
index 7b3434a1..007dd130 100644
--- a/examples/manual_model_config.py
+++ b/examples/manual_model_config.py
@@ -1,5 +1,8 @@
 # TRAINS - Example of manual model configuration
 #
+import os
+from tempfile import gettempdir
+
 import torch
 from trains import Task
 
@@ -25,5 +28,6 @@ task.set_model_label_enumeration({'background': 0, 'cat': 1, 'dog': 2})
 print('Any model stored from this point onwards, will contain both model_config and label_enumeration')
 
 # storing the model, it will have the task network configuration and label enumeration
-torch.save(model, '/tmp/model')
+
+torch.save(model, os.path.join(gettempdir(), "model"))
 print('Model saved')
diff --git a/examples/requirements.txt b/examples/requirements.txt
index 4e8101e5..c63b5e2c 100644
--- a/examples/requirements.txt
+++ b/examples/requirements.txt
@@ -1,7 +1,8 @@
 absl-py>=0.7.1
 Keras>=2.2.4
 joblib>=0.13.2
-matplotlib>=3.1.1
+matplotlib>=3.1.1 ; python_version >= '3.6'
+matplotlib == 3.0.3 ; python_version < '3.6'
 seaborn>=0.9.0
 sklearn>=0.0
 tensorboard>=1.14.0