Master Local Large Models: Official Ollama Learning Guide Released
Released by the Datawhale Team 🚀
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Open Source Contribution: Datawhale Handy-Ollama Team
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🎉 Ollama’s Only Officially Approved Tutorial
On November 6, the Datawhale Handy-Ollama open-source tutorial was officially included by Ollama — making it the only currently designated official learning tutorial.
📌 Official listing:
https://github.com/ollama/ollama#tutorial
> 💬 Readers who wish to join the discussion group can leave a comment at the end of this article.
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Why We Open-Sourced Handy-Ollama
Mission: Make Large Model Technology Accessible to Everyone
Large models are transforming industries, with countless open-source options now available.
However, many learners and developers face barriers:
- 💸 High hardware costs
- 📦 GPU requirements
The question becomes: How can we bring large model technology to anyone’s computer — affordably and easily — while enabling AI exploration and app creation without steep requirements?
Ollama as the Solution
Ollama is a lightweight local deployment tool that can run mainstream large models directly on CPU hardware, drastically reducing the entry threshold.
The challenge? Few comprehensive, hands-on tutorials exist.
That’s where our project comes in.
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Introducing Handy-Ollama
Handy-Ollama is an open-source tutorial offering systematic learning resources plus practical guides, enabling anyone to:
- Deploy large models locally
- Explore application development workflow
- Experience AI technology firsthand
- Contribute to making AI accessible across industries and households
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📚 Project Overview
Handy-Ollama — Your hands-on guide to using Ollama.
In This Tutorial, You’ll Learn:
- 🔍 Install & configure Ollama step-by-step
- 🏗 Load and customize your own models
- 🛠 Use Ollama’s REST API
- ⚙ Integrate Ollama with LangChain in detail
- 🚀 Deploy visual interfaces & example AI applications
📂 Open-source repo:
https://github.com/datawhalechina/handy-ollama
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🎯 Target Audience
Perfect for learners who:
- ✅ Want to run large models locally without GPU requirements
- ✅ Want effective inference on consumer-grade hardware
- ✅ Need local deployment for app development
- ✅ Seek secure and reliable model management
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🙏 Special Thanks
We thank all contributors who made this tutorial possible.
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💡 How to Support
If you find Handy-Ollama useful:
- ⭐ Give us a star
- 👀 Click watch on GitHub
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📢 AI Creation Ecosystem: Handy-Ollama + AiToEarn
For creators exploring AI deployment and publishing, Handy-Ollama fits naturally into broader AI creative workflows.
Platforms like AiToEarn官网 empower developers and content creators to:
- Generate AI-powered content
- Publish simultaneously to major channels (Douyin, Kwai, WeChat, Bilibili, Rednote, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X/Twitter)
- Monetize creativity with analytics and ranking tools
Together, Handy-Ollama and AiToEarn help you deploy models locally and share AI creations globally.
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