diff --git a/serverless/endpoints/model-caching.mdx b/serverless/endpoints/model-caching.mdx
index 6ca8ef0c..93eb94d7 100644
--- a/serverless/endpoints/model-caching.mdx
+++ b/serverless/endpoints/model-caching.mdx
@@ -179,7 +179,7 @@ else:
 
 The following sample applications demonstrate how you can integrate cached models into your custom workers:
 
-- [Cached models + LLMs](https://github.com/runpod/model-store-cache-example): A custom worker that uses cached models to serve LLMs.
+- [Cached models + LLMs](https://github.com/runpod-workers/model-store-cache-example): A custom worker that uses cached models to serve LLMs.
 
 ## Current limitations
 
diff --git a/tutorials/serverless/model-caching-text.mdx b/tutorials/serverless/model-caching-text.mdx
index caccbbf1..33f3fc8c 100644
--- a/tutorials/serverless/model-caching-text.mdx
+++ b/tutorials/serverless/model-caching-text.mdx
@@ -6,7 +6,7 @@ tag: "NEW"
 ---
 
 <Tip>
-You can download the finished code for this tutorial [on GitHub](https://github.com/runpod/model-store-cache-example).
+You can download the finished code for this tutorial [on GitHub](https://github.com/runpod-workers/model-store-cache-example).
 </Tip>
 
 This tutorial demonstrates how to build a custom Serverless worker that leverages Runpod's [cached model](/serverless/endpoints/model-caching) feature to serve the Phi-3 language model. You'll learn how to create a handler function that locates and loads cached models in offline mode, which can significantly reduce costs and cold start times.