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This book is a complete, practical guide to running large language models entirely on your own Mac. If you have an M1, M2, or M3 MacBook and want to deploy open-source LLMs locally for privacy, cost savings, or independence from cloud APIs, this book takes you from zero to mastery. You will learn the hardware architecture that makes Apple Silicon uniquely suited for this work, master every major inference framework (llama.cpp, Ollama, MLX, and Hugging Face Transformers), understand quantization strategies that fit billion-parameter models into your unified memory, and build real applications with local AI. Every technique described is fully open-source, reproducible on macOS, and grounded in real benchmarks and working code.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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