Delete quick-start.ipynb

quick-start.ipynb

-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4ac805ba-ce88-423f-bf3a-d8b2e0ef3a71",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Quick Start Guide for Dynamo in Jupyter Notebook\n",
-    "\n",
-    "# ## Installation\n",
-    "\n",
-    "# The following steps will install necessary system packages, \n",
-    "# set up a virtual environment using `uv`, and install the `abc` package.\n",
-    "\n",
-    "import os\n",
-    "\n",
-    "# Install system-level dependencies\n",
-    "print(\"Updating package lists and installing required system packages...\")\n",
-    "os.system(\"apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -yq python3-dev curl libucx0\")\n",
-    "\n",
-    "# Install uv package manager\n",
-    "print(\"Installing uv package manager...\")\n",
-    "os.system(\"curl -LsSf https://astral.sh/uv/install.sh | sh\")\n",
-    "os.system(\"source $HOME/.local/bin/env\")\n",
-    "\n",
-    "# Create and activate a virtual environment for ABC\n",
-    "print(\"Setting up virtual environment...\")\n",
-    "os.system(\"uv venv dynamo-venv\")\n",
-    "os.system(\"source dynamo-venv/bin/activate\")\n",
-    "\n",
-    "# Install the Dynamo package with all dependencies\n",
-    "print(\"Installing Dynamo package...\")\n",
-    "os.system(\"uv pip install ai-dynamo[all]\")\n",
-    "\n",
-    "# ## Running and Interacting with an LLM Locally\n",
-    "\n",
-    "# To run a model and interact with it locally, we use `dynamo run` with a Hugging Face model.\n",
-    "# Dynamo supports several backends, including: mistralrs, sglang, vllm, and tensorrtllm.\n",
-    "\n",
-    "# Example command to run a model\n",
-    "model_name = \"deepseek-ai/DeepSeek-R1-Distill-Llama-8B\"\n",
-    "backend = \"vllm\"\n",
-    "command = f\"dynamo run out={backend} {model_name}\"\n",
-    "\n",
-    "print(f\"Running the model with: {command}\")\n",
-    "os.system(command)\n",
-    "\n",
-    "# Once launched, you'll be able to chat directly with the model from the command line.\n",
-    "\n",
-    "\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}