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Summary: Running a large language model on your own computer sounds like the kind of thing that requires a computer science degree and a spare weekend. It doesn't. In this video I walk you through exactly how to get a local AI model running on your machine today, from downloading LM Studio to picking the right model for your hardware. We cover how to figure out what your device can actually run (RAM is the main thing), what quantization means and why it's not as scary as it sounds, and why Gemma 4 is the sensible starting point for almost everyone.

There are real limitations to local models and I'm not going to pretend otherwise. But for general chat, for working offline, for keeping your data off someone else's servers, they're genuinely good and getting better fast. By the end of this you'll have a working local LLM and a decent handle on where this whole space is heading.

—— Time Stamps ——

0:00 Intro: How to Run AI on Your Device
2:11 What Is a Local Large Language Model?
3:53 4 Reasons to Run AI Locally (Privacy, Cost, Offline, Learning)
6:35 LM Studio vs Ollama: Best Tool to Start
8:49 Finding Local AI Models on Hugging Face
10:25 Best First Model for Beginners: Gemma 4
11:35 How Much RAM Do You Need? The Parameter Rule
15:36 Quantization Explained: Compressing AI Models
17:08 Picking Your Model Inside LM Studio
19:08 Edge AI: Run AI on Your iPhone or Android
21:06 Hobbyist vs Production: When Local AI Makes Sense
22:45 Outro & Free Resources

— Useful Resources ——

Find everything else at https://aiwithkyle.com/