backburner
Backburner uses a USB-C-connected iPhone to help a Mac run Qwen3.8-27B locally, reducing prompt-processing waits and extending context for local LLM sessions.
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Share on XLicense: MIT
Overview
Backburner is a local inference setup that combines a Mac and a connected iPhone to run Qwen3.8-27B. Its llama.cpp-based engine splits prompt processing across the devices, and uses the iPhone to hold older context and compute attention when the Mac's memory limits long sessions. This can reduce prompt-reading waits and keep more context at 8-bit precision. Reported results are from tested Apple devices and do not guarantee the same performance on other setups.
Key features
- Splits prompt-processing layers between the Mac and iPhone.
- Uses iPhone memory and compute for older context to extend usable context.
- Includes Mac-side kernels and DFlash2 speculative decoding in its llama.cpp fork.
Best for
Mac users who want to run Qwen3.8-27B locally and have a compatible iPhone and USB-C connection. It is especially relevant for sessions that process long prompts or need more context.
- Upstream
- StayLameBro/backburner
- Fork on GitHub
- Guo-astro/backburner
- Upstream stars
- 1.2k
- Category
- AI agents and LLM tools
- Language
- Python
- License
- MIT
- Forked
- 2026-10-05
- Sync status
- In syncLast synced 2026-11-08
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