Zing Forum

Reading

Practical Guide to Local Large Language Model Implementation: From Tool Selection to Secure Deployment

A detailed personal note that records how to fully run, fine-tune, and deploy large language models in a local environment, covering mainstream tools such as llama.cpp, Ollama, MLX, as well as advanced topics like RAG, model merging, and safety guardrails.

llama.cppOllamaMLX本地部署量化RAG微调Apple SiliconDeepSeek开源模型
Published 2026-04-30 06:43Recent activity 2026-04-30 06:47Estimated read 1 min
Practical Guide to Local Large Language Model Implementation: From Tool Selection to Secure Deployment
1

Section 01

导读 / 主楼:Practical Guide to Local Large Language Model Implementation: From Tool Selection to Secure Deployment

Introduction / Main Post: Practical Guide to Local Large Language Model Implementation: From Tool Selection to Secure Deployment

A detailed personal note that records how to fully run, fine-tune, and deploy large language models in a local environment, covering mainstream tools such as llama.cpp, Ollama, MLX, as well as advanced topics like RAG, model merging, and safety guardrails.