datawhalechina/handy-ollama

动手学Ollama,CPU玩转大模型部署,在线阅读地址:https://datawhalechina.github.io/handy-ollama/

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Established

This project provides a tutorial for deploying large language models (LLMs) locally on your personal computer, even without a powerful graphics card (GPU). It guides you through installing Ollama, importing various LLM formats, and using them for applications like local chatbots or AI assistants. This is for developers, researchers, or enthusiasts who want to experiment with or build applications using LLMs without relying on cloud services or high-end hardware.

2,277 stars.

Use this if you want to run and manage large language models on your local machine using your computer's CPU, avoiding cloud costs or GPU limitations.

Not ideal if you require extremely high performance for complex, large-scale LLM training or inference that inherently demands specialized GPU hardware.

local LLM deployment AI application development natural language processing CPU-based inference personal AI assistant
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

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2,277

Forks

287

Language

Jupyter Notebook

License

Last pushed

Jan 15, 2026

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