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Experimenting with local LLMs on macOS

Experimenting with local LLMs on macOS

Running **open-weight LLMs locally on macOS**? This post breaks it down clean. It compares **llama.cpp**—great for tweaking things—to **LM Studio**, which trades control for simplicity. Covers what fits in memory, which quantized models to grab (hint: 4-bit GGUF), and what’s coming down the pipe: **reasoning**, **tool use**, and **Mixture-of-Experts (MoE)**. **Bigger picture:** Local runtimes with tool calling and MoE point to where AI’s headed: cheaper, private, and piecemeal—running right on your laptop.


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The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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