How do I set up GitHub Copilot CLI with LM Studio?

Install Copilot CLI, auth with GitHub, run LM Studio, load a model, start its server. Set env vars: COPILOT_PROVIDER_BASE_URL="http://localhost:1234/v1", COPILOT_MODEL="your/model", COPILOT_OFFLINE="true". Run copilot in your project.

What are the best local models for Copilot CLI?

Qwen2.5-Coder-7B or nemotron-3-nano-4B for laptops; scale to 30B on GPUs. Prioritize code-tuned ones under your param limit.

Is local Copilot CLI slower than cloud?

Yes, 5-60x depending on hardware. Fine for simple tasks; bail for complex ones.

🚀 New Releases

GitHub Copilot CLI Meets Local LLMs: Control at a Cost

Tired of cloud AI slurping your code? GitHub Copilot CLI now runs local LLMs — if you hack it right. But is the control worth the slowdown?

theAIcatchup Apr 09, 2026 3 min read

Terminal screenshot of GitHub Copilot CLI querying local LM Studio model

⚡ Key Takeaways

Local Copilot CLI via LM Studio gives total data control but sacrifices speed and smarts. 𝕏
Ideal for privacy-sensitive or offline work; cloud wins for production accuracy. 𝕏
Hackish setup foreshadows enterprise shift to hybrid AI amid rising regs. 𝕏

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theAIcatchup

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#BYOK models #GitHub Copilot CLI #LM Studio #Offline Coding #local AI models #local LLMs

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Originally reported by dev.to

⚡ Key Takeaways

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