Section 01
[Introduction] A Complete Practical Guide to Local Deployment of Large Language Models from Zero
This article shares a developer's complete practical experience of running, fine-tuning, and deploying large language models in a local environment using tools like Ollama, llama.cpp, and MLX without relying on commercial APIs such as GPT and Claude. It covers toolchain configuration, model acquisition and conversion, RAG system construction, security review, performance optimization, and application scenario selection, providing a reference roadmap for developers to build an independently controllable AI environment.