diff --git a/README.md b/README.md
index 126c901..0721c19 100644
--- a/README.md
+++ b/README.md
@@ -10,6 +10,8 @@ Please note that this started recently as just a fun weekend project: I took my
 
 ## feel the magic
 
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/karpathy/llama2.c/blob/master/run.ipynb)
+
 First, navigate to the folder when you keep your projects and clone this repository to this folder:
 
 ```bash
diff --git a/run.ipynb b/run.ipynb
new file mode 100644
index 0000000..95c5b0f
--- /dev/null
+++ b/run.ipynb
@@ -0,0 +1,109 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "HLdoj4cz-xal"
+      },
+      "source": [
+        "# Run.c\n",
+        "\n",
+        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/karpathy/llama2.c/blob/master/run.ipynb)\n",
+        "\n",
+        "More details can be found in the [README.md](README.md) ."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "Une3Ozlnu1B7"
+      },
+      "outputs": [],
+      "source": [
+        "#@title Clone Project\n",
+        "\n",
+        "!git clone https://github.com/karpathy/llama2.c.git\n",
+        "%cd llama2.c"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "#@title Build\n",
+        "\n",
+        "!make run"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "thm0ZBrtSgoC"
+      },
+      "outputs": [],
+      "source": [
+        "#@title Pick Your Model\n",
+        "\n",
+        "#@markdown Choose model\n",
+        "model = \"stories15M\" #@param [\"stories15M\", \"stories42M\", \"stories110M\"]\n",
+        "\n",
+        "download_url = \"\"\n",
+        "\n",
+        "if(model == \"stories15M\"):\n",
+        "  download_url = \"https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.bin\"\n",
+        "if(model == \"stories42M\"):\n",
+        "  download_url = \"https://huggingface.co/karpathy/tinyllamas/resolve/main/stories42M.bin\"\n",
+        "if(model == \"stories110M\"):\n",
+        "  download_url = \"https://huggingface.co/karpathy/tinyllamas/resolve/main/stories110M.bin\"\n",
+        "\n",
+        "print(f\"download_url: {download_url}\")\n",
+        "\n",
+        "!wget $download_url\n",
+        "\n",
+        "model_file = model + \".bin\""
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "OgAc3KjuT-NM"
+      },
+      "outputs": [],
+      "source": [
+        "#@title Generate Stories\n",
+        "\n",
+        "# Generate args\n",
+        "max_token = 256 #@param {type:\"slider\", min:32, max:1024, step:32}\n",
+        "temperature = 0.8 #@param {type:\"slider\", min:0.0, max:1, step:0.05}\n",
+        "top_p = 0.9 #@param {type:\"slider\", min:0.0, max:1.0, step:0.05}\n",
+        "prompt = \"One day, Lily met a Shoggoth\" #@param {type:\"string\"}\n",
+        "\n",
+        "print(f\"model: {model_file}, max_token: {max_token}, temperature: {temperature}, top_p: {top_p}, prompt: {prompt}\")\n",
+        "print(f\"----------------------------\\n\")\n",
+        "\n",
+        "cmd = f'./run {model_file} -t {temperature} -p {top_p} -n {max_token} -i \"{prompt}\"'\n",
+        "!{cmd}"
+      ]
+    }
+  ],
+  "metadata": {
+    "colab": {
+      "private_outputs": true,
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}