diff --git a/README.md b/README.md
index c398be5f..212c6d79 100644
--- a/README.md
+++ b/README.md
@@ -156,7 +156,7 @@ pip install tensorflow-gpu==2.0.0 keras==2.3.1 nibabel==3.2.2 matplotlib==3.3.4
 pip install tensorflow-gpu==2.2.0 keras==2.3.1 protobuf==3.20.3 numpy==1.23.5 nibabel==5.0.1 matplotlib==3.6.2
 ```
 
-3. Go to this link [UCL dropbox](https://liveuclac-my.sharepoint.com/:f:/g/personal/rmappmb_ucl_ac_uk/EtlNnulBSUtAvOP6S99KcAIBYzze7jTPsmFk2_iHqKDjEw?e=rBP0RO), and download the missing models. Then simply copy them to [models](models).
+3. Go to this link [MIT sharepoint](https://mitprod-my.sharepoint.com/:u:/g/personal/bbillot_mit_edu/Ebqxo6YgUmBJkOML0m8NSXgBrhaHG7iqClFXRXPinS6FGw?e=DzKf1p), download the zip file and unzip it. Then simply copy the models in the unzipped folder into [models](models).
 
 4. If you wish to run on the GPU, you will also need to install Cuda (10.0 for Python 3.6, 10.1 for Python 3.8), and 
 CUDNN (7.6.5 for both). Note that if you used conda, these were already automatically installed.