diff --git a/docs/zero_to_hero_guide/00_Inference101.ipynb b/docs/zero_to_hero_guide/00_Inference101.ipynb
index 8619de97e..37c53cc3e 100644
--- a/docs/zero_to_hero_guide/00_Inference101.ipynb
+++ b/docs/zero_to_hero_guide/00_Inference101.ipynb
@@ -7,7 +7,7 @@
    "source": [
     "# Llama Stack Inference Guide\n",
     "\n",
-    "This document provides instructions on how to use Llama Stack's `chat_completion` function for generating text using the `Llama3.2-11B-Vision-Instruct` model. \n",
+    "This document provides instructions on how to use Llama Stack's `chat_completion` function for generating text using the `Llama3.1-8B-Instruct` model. \n",
     "\n",
     "Before you begin, please ensure Llama Stack is installed and set up by following the [Getting Started Guide](https://llama-stack.readthedocs.io/en/latest/getting_started/index.html).\n",
     "\n",
@@ -105,7 +105,7 @@
     "        SystemMessage(content='You are a friendly assistant.', role='system'),\n",
     "        UserMessage(content='Write a two-sentence poem about llama.', role='user')\n",
     "    ],\n",
-    "    model='Llama3.2-11B-Vision-Instruct',\n",
+    "    model='Llama3.1-8B-Instruct',\n",
     ")\n",
     "\n",
     "print(response.completion_message.content)"
@@ -149,7 +149,7 @@
     "        SystemMessage(content='You are shakespeare.', role='system'),\n",
     "        UserMessage(content='Write a two-sentence poem about llama.', role='user')\n",
     "    ],\n",
-    "    model='Llama3.2-11B-Vision-Instruct',\n",
+    "    model='Llama3.1-8B-Instruct',\n",
     ")\n",
     "\n",
     "print(response.completion_message.content)"
@@ -220,7 +220,7 @@
     "        message = UserMessage(content=user_input, role='user')\n",
     "        response = client.inference.chat_completion(\n",
     "            messages=[message],\n",
-    "            model='Llama3.2-11B-Vision-Instruct',\n",
+    "            model='Llama3.1-8B-Instruct',\n",
     "        )\n",
     "        cprint(f'> Response: {response.completion_message.content}', 'cyan')\n",
     "\n",
@@ -319,7 +319,7 @@
     "\n",
     "        response = client.inference.chat_completion(\n",
     "            messages=conversation_history,\n",
-    "            model='Llama3.2-11B-Vision-Instruct',\n",
+    "            model='Llama3.1-8B-Instruct',\n",
     "        )\n",
     "        cprint(f'> Response: {response.completion_message.content}', 'cyan')\n",
     "\n",
@@ -378,7 +378,7 @@
     "\n",
     "    response = client.inference.chat_completion(\n",
     "        messages=[message],\n",
-    "        model='Llama3.2-11B-Vision-Instruct',\n",
+    "        model='Llama3.1-8B-Instruct',\n",
     "        stream=stream,\n",
     "    )\n",
     "\n",
diff --git a/docs/zero_to_hero_guide/00_Local_Cloud_Inference101.ipynb b/docs/zero_to_hero_guide/00_Local_Cloud_Inference101.ipynb
index 35f41d9d7..8adde082a 100644
--- a/docs/zero_to_hero_guide/00_Local_Cloud_Inference101.ipynb
+++ b/docs/zero_to_hero_guide/00_Local_Cloud_Inference101.ipynb
@@ -91,10 +91,10 @@
     "async def select_client(use_local: bool) -> LlamaStackClient:\n",
     "    \"\"\"\n",
     "    Selects the client based on the use_local flag.\n",
-    "    \n",
+    "\n",
     "    Parameters:\n",
     "    - use_local: bool, True to try the local client, False to use the cloud client.\n",
-    "    \n",
+    "\n",
     "    Returns:\n",
     "    - LlamaStackClient: the selected client instance.\n",
     "    \"\"\"\n",
@@ -143,7 +143,7 @@
     "\n",
     "    response = client.inference.chat_completion(\n",
     "        messages=[message],\n",
-    "        model='Llama3.2-11B-Vision-Instruct',\n",
+    "        model='Llama3.1-8B-Instruct',\n",
     "        stream=stream,\n",
     "    )\n",
     "\n",
diff --git a/docs/zero_to_hero_guide/01_Prompt_Engineering101.ipynb b/docs/zero_to_hero_guide/01_Prompt_Engineering101.ipynb
index 0221a7f3a..3b6530c78 100644
--- a/docs/zero_to_hero_guide/01_Prompt_Engineering101.ipynb
+++ b/docs/zero_to_hero_guide/01_Prompt_Engineering101.ipynb
@@ -154,7 +154,7 @@
    "outputs": [],
    "source": [
     "response = client.inference.chat_completion(\n",
-    "    messages=few_shot_examples, model='Llama3.2-11B-Vision-Instruct'\n",
+    "    messages=few_shot_examples, model='Llama3.1-8B-Instruct'\n",
     ")"
    ]
   },
diff --git a/docs/zero_to_hero_guide/quickstart.md b/docs/zero_to_hero_guide/quickstart.md
index 4b53812f9..0d8dd1357 100644
--- a/docs/zero_to_hero_guide/quickstart.md
+++ b/docs/zero_to_hero_guide/quickstart.md
@@ -1,6 +1,6 @@
 # Llama Stack Quickstart Guide
 
-This guide will walk you through setting up an end-to-end workflow with Llama Stack, enabling you to perform text generation using the `Llama3.2-11B-Vision-Instruct` model. Follow these steps to get started quickly.
+This guide will walk you through setting up an end-to-end workflow with Llama Stack, enabling you to perform text generation using the `Llama3.1-8B-Instruct` model. Follow these steps to get started quickly.
 
 If you're looking for more specific topics like tool calling or agent setup, we have a [Zero to Hero Guide](#next-steps) that covers everything from Tool Calling to Agents in detail. Feel free to skip to the end to explore the advanced topics you're interested in.
 
@@ -42,7 +42,7 @@ pip install llama-stack
 Download the necessary Llama model checkpoints using the `llama` CLI:
 
 ```bash
-llama download --model-id Llama3.2-11B-Vision-Instruct
+llama download --model-id Llama3.1-8B-Instruct
 ```
 
 *Follow the CLI prompts to complete the download. You may need to accept a license agreement. Obtain an instant license [here](https://www.llama.com/llama-downloads/).*