If you have an M1/M2/M3/M4 Mac, you can run real LLMs entirely on-device — no API keys, no cloud...
If you have an M1/M2/M3/M4 Mac, you can run real LLMs entirely on-device — no API keys, no cloud bills, and no prompts leaving your machine. Two tools dominate on Apple Silicon: MLX (Apple's own ML framework) and llama.cpp (the portable C++ engine). Here's how to get MLX running in five minutes, and when to pick which.
Why run local on a Mac?
Privacy: your prompts never leave the laptop.
Cost: $0 per token after the hardware you already own.
Offline: works on a plane, in a cabin, anywhere.
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Run real language models on Apple Silicon, fully on-device. No cloud, no account, no monthly bill. Free and open source.
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