diff --git a/website/docs/docs/build/python-models.md b/website/docs/docs/build/python-models.md
index 811379a0d2c..28136f91e9c 100644
--- a/website/docs/docs/build/python-models.md
+++ b/website/docs/docs/build/python-models.md
@@ -660,6 +660,40 @@ models:
 
 **Docs:** ["Developer Guide: Snowpark Python"](https://docs.snowflake.com/en/developer-guide/snowpark/python/index.html)
 
+#### Third-party Snowflake packages
+
+To use a third-party Snowflake package that isn't available in Snowflake Anaconda, upload your package by following [this example](https://docs.snowflake.com/en/developer-guide/udf/python/udf-python-packages#importing-packages-through-a-snowflake-stage), and then configure the `imports` setting in the dbt Python model to reference to the zip file in your Snowflake staging.
+
+Here’s a complete example configuration using a zip file, including using `imports` in a Python model:
+
+```python
+
+def model(dbt, session):
+    # Configure the model
+    dbt.config(
+        materialized="table",
+        imports=["@mystage/mycustompackage.zip"],  # Specify the external package location
+    )
+    
+    # Example data transformation using the imported package
+    # (Assuming `some_external_package` has a function we can call)
+    data = {
+        "name": ["Alice", "Bob", "Charlie"],
+        "score": [85, 90, 88]
+    }
+    df = pd.DataFrame(data)
+
+    # Process data with the external package
+    df["adjusted_score"] = df["score"].apply(lambda x: some_external_package.adjust_score(x))
+    
+    # Return the DataFrame as the model output
+    return df
+
+```
+
+For more information on using this configuration, refer to [Snowflake's documentation](https://community.snowflake.com/s/article/how-to-use-other-python-packages-in-snowpark) on uploading and using other python packages in Snowpark not published on Snowflake's Anaconda channel.
+
+
 </div>
 
 <div warehouse="Databricks">