How do I install GitHub Copilot CLI with LM Studio?

Grab Copilot CLI via GitHub docs, install LM Studio, set env vars like COPILOT_PROVIDER_BASE_URL to localhost:1234/v1, pick a model, set OFFLINE true. Test with copilot --banner.

What are the best local models for Copilot CLI?

Start with qwen/qwen3-coder-30b or nemotron-3-nano-4b on laptops; scale to Qwen3 Code on GPUs. Match hardware—small for speed, big for smarts.

Is GitHub Copilot CLI with local models fast enough for daily use?

Depends: seconds on strong rigs with tiny models, minutes otherwise. Great for privacy/offline, but cloud faster for speed demons.

🤖 AI & Machine Learning

Hacking GitHub Copilot CLI to Run Fully Local on Your Rig

Tired of Copilot phoning home with your code? Hack it to run local models on your machine. It's clunky, but reveals AI's raw underbelly.

theAIcatchup Apr 10, 2026 3 min read

Terminal screenshot of GitHub Copilot CLI outputting code suggestions from local LM Studio model

⚡ Key Takeaways

Local Copilot CLI via LM Studio gives total data control, ideal for sensitive code. 𝕏
Env vars are key: base URL to localhost, specify model, force offline. 𝕏
Trade speed for sovereignty — great for learning AI limits, poor for production. 𝕏

Published by

theAIcatchup

Community-driven. Code-first.

#GitHub Copilot CLI #LM Studio #Offline AI Coding #developer tools #local AI models #local LLMs #offline coding

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Originally reported by Dev.to

⚡ Key Takeaways

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