diff --git a/docs/source/pysipfenn.modelsSIPFENN.rst b/docs/source/pysipfenn.modelsSIPFENN.rst
index 6042970..6086a00 100644
--- a/docs/source/pysipfenn.modelsSIPFENN.rst
+++ b/docs/source/pysipfenn.modelsSIPFENN.rst
@@ -1,7 +1,64 @@
 pySIPFENN Models
 ================
 
-Module contents
+All default models for pySIPFENN are stored in the below Zenodo repository, which will be versioned with each release of
+new models:
+
+.. |Zenodo DOI| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.7373089.svg?
+    :target: https://doi.org/10.5281/zenodo.7373089
+    :alt: Zenodo DOI
+
+The model access is governed by the `models.json` file in the `pysipfenn/modelsSIPFENN` directory. For each model, the
+file needs to contain:
+
+* parent dictionary key matching the name of the model file (e.g. `SIPFENN_Krajewski2020_NN20`)
+* `name` filed: string of the full name of the model displayed to the user. It can be anything.
+* `descriptor` field: string of which descriptor / feature vector is taken as input to the model.
+* `URL_ONNX` field: string of the URL to the ONNX model file.
+
+additionally, the `models.json` file can contain the following optional fields:
+
+* `URLjson` and `URLparams` fields: strings of the URL to the JSON and params files of an MxNet model. They are provided
+  for legacy convenience and will be removed in some future release.
+
+.. note:: In near future, the `models.json` file will also include model metadata such as: model version,
+          training data information, model training hyperparameters, and key information about the model predictions
+          including property/properties predicted, units, and range of applicability.
+
+As of pySIPFENN v0.13.0, the `models.json` file contains the following models:
+
+.. code-block:: JSON
+
+    {
+      "SIPFENN_Krajewski2020_NN9": {
+        "name": "SIPFENN_Krajewski2020 Standard Materials Model",
+        "URLjson": "https://zenodo.org/record/4279640/files/SIPFENN_Krajewski2020_NN9.json",
+        "URLparams": "https://zenodo.org/record/4279640/files/SIPFENN_Krajewski2020_NN9.params",
+        "URL_ONNX": "https://zenodo.org/record/7373089/files/SIPFENN_Krajewski2020_NN9.onnx",
+        "descriptor": "Ward2017"
+      },
+      "SIPFENN_Krajewski2020_NN20": {
+        "name": "SIPFENN_Krajewski2020 Novel Materials Model",
+        "URLjson": "https://zenodo.org/record/4279640/files/SIPFENN_Krajewski2020_NN20.json",
+        "URLparams": "https://zenodo.org/record/4279640/files/SIPFENN_Krajewski2020_NN20.params",
+        "URL_ONNX": "https://zenodo.org/record/7373089/files/SIPFENN_Krajewski2020_NN20.onnx",
+        "descriptor": "Ward2017"
+      },
+      "SIPFENN_Krajewski2020_NN24": {
+        "name": "SIPFENN_Krajewski2020 Light Model",
+        "URLjson": "https://zenodo.org/record/4279640/files/SIPFENN_Krajewski2020_NN24.json",
+        "URLparams": "https://zenodo.org/record/4279640/files/SIPFENN_Krajewski2020_NN24.params",
+        "URL_ONNX": "https://zenodo.org/record/7373089/files/SIPFENN_Krajewski2020_NN24.onnx",
+        "descriptor": "Ward2017"
+      },
+      "SIPFENN_Krajewski2022_NN30": {
+        "name": "SIPFENN_Krajewski2022 KS2022 Novel Materials Model",
+        "URL_ONNX": "https://zenodo.org/record/7373089/files/SIPFENN_Krajewski2022_NN30.onnx",
+        "descriptor": "KS2022"
+      }
+    }
+
+Module Contents
 ---------------
 
 .. automodule:: pysipfenn.modelsSIPFENN