diff --git a/notebook/open_source_language_model_example.ipynb b/notebook/open_source_language_model_example.ipynb
index d5d010e4f..45d96bc1b 100644
--- a/notebook/open_source_language_model_example.ipynb
+++ b/notebook/open_source_language_model_example.ipynb
@@ -10,7 +10,9 @@
     "AutoGen is compatible with the OpenAI API library in Python for executing language models. Consequently, it can work with any models employing a similar API without the necessity to modify your AutoGen code.\n",
     "\n",
     "\n",
-    "In this guide, we will utilize the  [modelz-llm](https://github.com/tensorchord/modelz-llm) package to illustrate how to locally serve a model and integrate AutoGen with the served model.\n"
+    "In this guide, we will utilize the  [modelz-llm](https://github.com/tensorchord/modelz-llm) package to illustrate how to locally serve a model and integrate AutoGen with the served model.\n",
+    "Actually there are multiple ways to serve the local model in Open AI API compatible way. At this point in time [modelz-llm](https://github.com/tensorchord/modelz-llm) is not usable on Unix.\n",
+    "For Windows, [LM Studio](https://lmstudio.ai/) works. It allows downloading, checking and serving the local Open Source models. More details of how to use are [here](https://medium.com/p/97cba96b0f75).\n"
    ]
   },
   {