Experimenting with Local LLMs on macOS
2 days ago
- #macOS
- #AI
- #LLMs
- Author experiments with local LLMs on macOS despite skepticism.
- LLMs are complex but not sentient; useful for summarizing and brainstorming.
- Local LLMs offer privacy, avoid corporate data misuse, and reduce environmental impact.
- Two recommended tools: llama.cpp (open-source) and LM Studio (user-friendly).
- Consider model size, runtime, quantization, and capabilities (vision, reasoning, tool use) when choosing an LLM.
- Popular models include Gemma 3, Qwen3, GPT-OSS, and Phi-4.
- Local LLMs provide utility and a learning experience despite limitations.