My local model setup on an M4 Pro Mac Mini

The author runs a local LLM server on an M4 Pro Mac mini with 48GB RAM to avoid cloud API costs, pricing changes, and data privacy concerns, using models like Qwen and Gemma through the oMLX inference server. Key advantages include cost predictability, lower latency, offline capability, and no rate limits, with the setup accessible across devices via Tailscale and used for both agent workflows and quick chat queries.