# your_offline_ai: Easy access to an open-weight local model for my friend in a remote area > Source: > Published: 2026-10-05 14:45:10+00:00 *This is a submission for the [Hacktoberfest Weekend Challenge: Build for a Friend](https://dev.to/challenges/hacktoberfest-weekend-2026-10-01)* People living in urban areas have good tower connectivity. It helps us surf the internet and access LLMs, agentic AI and much more. At the core, it comes down to stable connectivity, which we often take for granted. My friend lives in a rural place where getting signal is not easy. He is eager to use and learn about AI, and that is why this idea came to me. This open-weight model runs locally on his laptop, thus eliminating dependency on the internet after the initial setup. This is an interactive, terminal-based system. Why not a web app or deployment on Vercel? Because of the main problem: unstable internet connectivity. I think this is one of the best and most efficient ways for my friend to access this open-weight model. This is a chatbot that runs without internet! Phi-3 Mini - open-weight model from Microsoft, very lightweight - works well even on 4GB RAM. Install Ollama from [http://ollama.com](http://ollama.com) Run: `ollama run phi3:mini` in terminal Install Python module: `pip install ollama` Then run `main.py` — that's it! How it works?: Your question -> Python -> Local model -> Answer First, I installed Ollama and ran the Phi-3 Mini model, which is one of the lightest models and works even on 4GB RAM. Second, I built a small terminal-based interactive session between the user and the model, coded entirely in Python. Finally, I added an option to terminate the interaction. My project's core is an open-weight model. This project is simple, but it solves a real problem in my friend's life. Open innovation matters because closed models need internet, API keys and payments. Open-weight models run locally, free and private, and give access to people who don't have stable connectivity.