How To Run Local AI as a Beginner (Complete Tutorial)

In this video I show you exactly how to run AI completely locally on your own computer for free, no subscription, no internet connection and no data leaving your machine. Email: [email protected] Related videos: How to Run Gemma 4 With Claude Code for Free: https://youtu.be/TcuAkA8cv8E How to Install Claude Code on Mac: https://youtu.be/Bkgffn0TH4w I Built the Cheapest PC for Local AI: https://youtu.be/dkYDGAZ24RA Commands used in this video: Download Gemma 4: ollama pull gemma4:e4b Run Gemma 4: ollama run gemma4:e4b Install Ollama here: https://ollama.com/ Recommended models based on your hardware: 6GB VRAM gaming GPU: Llama 3.2 3B or Phi 3 Mini 8GB unified memory Mac: Gemma 4 E2B or Llama 3.2 3B 16GB unified memory Mac: Gemma 4 E4B (recommended for most people) 24GB VRAM gaming GPU: Gemma 4 26B 6GB VRAM gaming GPU or other models 48GB+ unified memory Mac or high end GPU: Llama 4 Scout or Gemma 4 31B For coding specifically: Qwen2.5 Coder 3B (fast and surprisingly capable for its size) 16GB+ Qwen2.5 Coder 7B or DeepSeek Coder V2 Lite (strong coding performance) 24GB+ Qwen2.5 Coder 32B (genuinely competitive with cloud models for coding tasks) Local AI has gone from something that required a server rack to something you can run on a MacBook Air in under ten minutes. In this beginner guide I break down everything you need to know to get started, even if you have never touched a terminal before. Local AI is not perfect yet but it is already good enough to be genuinely useful today and it is improving at an insane pace. The best time to start is right now since the people learning how to use these tools now are going to have a real head start. This video gets you started in ten minutes. Subscribe for more local AI tutorials Claude Code guides and AI tool videos every week! Timestamps: 00:00-00:53 Introduction to Local AI 00:53-01:58 Local AI Explained 01:58-03:48 Use Cases with Local AI 03:48-05:40 RAM, VRAM & Unified Memory Explained 05:40-06:33 How to Install Ollama 06:33-09:08 What Local AI model Should You Run? 09:08-11:06 How to Download & Run Local AI 11:06-12:50 Local AI vs Cloud based AI What is covered in this video: What local AI actually is and how it differs from ChatGPT and Claude Why local AI is a game changer for running AI agents like OpenClaw completely for free How to use local AI with Claude Code or OpenCode to code for free with no API costs Why your data stays private and never gets sent to any server The difference between VRAM RAM and unified memory explained simply Why a MacBook Air beats a gaming PC for local AI and what unified memory actually means How to install Ollama on Mac in under one minute How to read model sizes like 3B 7B 14B and pick the right one for your hardware A simple cheat sheet for which model to run based on how much memory you have How to download and run Gemma 4 E4B step by step An honest comparison of when to use local AI versus cloud AI like Claude or ChatGPT