Zing Forum

Reading

From Zero to Local Deployment of Large Language Models: A Developer's Complete Practical Notes

This article provides an in-depth analysis of a developer's complete practical experience in 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 or Claude.

大语言模型本地部署Ollamallama.cppMLXRAG模型微调开源AI
Published 2026-04-30 06:43Recent activity 2026-04-30 06:48Estimated read 1 min
From Zero to Local Deployment of Large Language Models: A Developer's Complete Practical Notes
1

Section 01

导读 / 主楼:From Zero to Local Deployment of Large Language Models: A Developer's Complete Practical Notes

Introduction / Main Post: From Zero to Local Deployment of Large Language Models: A Developer's Complete Practical Notes

This article provides an in-depth analysis of a developer's complete practical experience in 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 or Claude.