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Microsoft Foundry Local runs Qwen3.8-27B locally with GitHub Copilot on Nvidia GPUs

Microsoft released Foundry Local CLI 0.13.0, which runs the Qwen3.8-27B model on Nvidia GPUs and connects it to GitHub Copilot via Bring Your Own Key. The 4-bit quantized model needs about 18 GB VRAM, so it fits on consumer cards with 24 GB or more. On a GeForce RTX 5090 with 32 GB VRAM, Foundry Local showed higher token generation speed than llama.cpp at every prompt length tested, with the gap…

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Key points

  • Foundry Local CLI 0.13.0 runs Qwen3.8-27B locally and plugs into GitHub Copilot BYOK
  • 4-bit model needs ~18 GB VRAM; 24 GB cards support 64K context, 32 GB cards support 262K
  • Microsoft benchmarks show faster generation than llama.cpp on RTX 5090, especially past 131K tokens
Full story from devblogs.microsoft.com · by Baiju Meswani · via Reddit AI communitiesOpen source ↗

Bring Agentic Coding On-Device with Foundry Local

devblogs.microsoft.com · 6 November 2026

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This text was published by devblogs.microsoft.com and written by Baiju Meswani. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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