diff --git a/FashionLabeling_model.pth b/models/FashionLabeling_model.pth
similarity index 100%
rename from FashionLabeling_model.pth
rename to models/FashionLabeling_model.pth
diff --git a/quickStart/FashionLabeler.py b/quickStart/FashionLabeler.py
index a68bcff..4ab856b 100644
--- a/quickStart/FashionLabeler.py
+++ b/quickStart/FashionLabeler.py
@@ -56,7 +56,7 @@ class NeuralNetwork(nn.Module):
         return logits
 
 model = NeuralNetwork()
-model.load_state_dict(torch.load("FashionLabeling_model.pth"))
+model.load_state_dict(torch.load("mdoels/FashionLabeling_model.pth"))
 
 classes = [
     "T-shirt/top",
diff --git a/quickStart/TrainFashionLabeler.py b/quickStart/TrainFashionLabeler.py
index 2f2d135..9c1cbb8 100644
--- a/quickStart/TrainFashionLabeler.py
+++ b/quickStart/TrainFashionLabeler.py
@@ -101,5 +101,5 @@ for t in range(epochs):
 print("Done!")
 
 
-torch.save(model.state_dict(), "model.pth")
+torch.save(model.state_dict(), "models/model.pth")
 print("Saved PyTorch Model State to model.pth")