Run a Local Chatbot With Gemma 4

you own this product
prerequisites
Intermediate command line • Basic Linux administration (Linux path only) • Basics of LLMs
skills learned
Survey open weights models and estimate hardware needs • install Docker Model Runner • pull and chat with a local model • launch an Open WebUI chatbot against a local model
Michael Yuan and Tony Yuan
1 week · 4-6 hours per week · BEGINNER
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Look inside

Socratic liveProjects pair you with an AI tutor to help you learn by doing, in real time.

In this liveProject, you’ll take on the role of an IT engineer helping a midsize company reduce its dependence on costly cloud AI services and keep sensitive data in-house. Your goal is to build a proof-of-concept private alternative to ChatGPT using open-weight models running on local hardware. You’ll survey models and hardware options, set up the cross-platform Docker Model Runner, and run Google’s Gemma 4 E4B model on your own computer. You’ll first interact with the model from the command line, then deploy it through Open WebUI to create a browser-based chatbot that can be demonstrated to management and made available to non-technical colleagues.

This project is a part of the series Open LLMs on Your Own Computer.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

prerequisites

This liveProject is for software developers and IT professionals who are interested in building LLM applications in their own domains. To begin this liveProject, you will need to know the following:

TOOLS
  • Basics of Linux
  • Basics of GitHub
TECHNIQUES
  • Basics of CLI usage
  • Basics of LLMs

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  • choose twelve free products per year
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