diff --git a/docs/Interpret.md b/docs/Interpret.md
index 735628684..5a8e7a3fb 100644
--- a/docs/Interpret.md
+++ b/docs/Interpret.md
@@ -16,7 +16,7 @@ can download them using your navigator or the command line. For example, to get
 the model "Image-based" with a single split type:
 
 ```
-curl -k https://aramislab.paris.inria.fr/clinicadl/files/models/v1.0.5/maps_exp3.tar.gz -o maps_exp3.tar.gz
+curl -k https://aramislab.paris.inria.fr/clinicadl/files/models/v1.1.0/maps_exp3.tar.gz -o maps_exp3.tar.gz
 tar xf model_exp3_splits_1.tar.gz
 ```
 -->
diff --git a/docs/index.md b/docs/index.md
index d8b859b50..ab01238ea 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -58,7 +58,7 @@ We assume that users installing and using ClinicaDL are comfortable using the co
 
 Pretrained models for CNN networks performing classification of subjects for
 Alzheimer disease are proposed in
-[here](https://aramislab.paris.inria.fr/clinicadl/files/models/v1.0.5/) in MAPS
+[here](https://aramislab.paris.inria.fr/clinicadl/files/models/v1.1.0/) in MAPS
 format (ready to use with **ClinicaDL >= 1.0.4**). Models trained with previous
 versions of ClinicaDL are also available. For more details concerning the
 parameters used to create these models please refer to the supplementary