GH Repository · 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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Jupyter Notebookggufagenttutorialllamaindexollamallmagent-appraglangchainlarge-language-models
handy-ollama is a Chinese-language tutorial repository from Datawhale that teaches how to deploy large language models locally using Ollama, even on CPU-only machines. It is structured as an online book (available at datawhalechina.github.io/handy-ollama) with Jupyter Notebook content covering Ollama basics plus LLM application topics like LangChain, LlamaIndex, RAG, and agents.
Use it if you want a structured, hands-on tutorial for running LLMs locally with Ollama without needing a GPU.
Use it to
- Learn Ollama fundamentals from scratch
- Deploy large models on CPU-only hardware
- Build RAG applications with LangChain or LlamaIndex
- Follow along with notebook-based exercises
- Explore building agents on local models
For Chinese-speaking learners new to local LLM deployment
- Role
- agent-app
- Language
- Jupyter Notebook
- Licence
- custom (licence file present)
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- 319
- Open issues
- 4
- Last push
- 2026-01-15
topicsollamatutoriallarge-language-modelsraglangchaindeployment