27B Model Compressed to Run on iPhone
xiaohu · x · 2026-07-15
PrismML applied model compression to Qwen3.6-27B, shrinking the original 54GB model down to 3.9–5.9GB to enable local execution on smartphones.
They compared the compressed versions against the original across 15 tests under an "intense thinking mode":
- Ternary version (5.9GB, desktop): Retains about 95% of original capabilities
- 1-bit version (3.9GB, mobile): Retains roughly 90% of capabilities
Regarding performance, the author claims speeds up to 163 token/s on an RTX 5090 and 87 token/s on an Apple M5 Max.
Related event: Bonsai 27B: The first 27B model that runs on phones(15 posts)→
More from Infra
- Engram shows how agent memory can keep, rewrite, or delete facts asynchronously — philipvollet · 2026-07-21
- Lightning AI’s LitLogger captures training metrics, artifacts, commands, and environment data — LightningAI · 2026-07-21
- Moonshot pauses Kimi K3 signups five days after launch as GPU demand surges — eyishazyer · 2026-07-21
- Microsoft expands Mistral models across Azure, Foundry, Copilot Studio and Azure Local — arthurmensch · 2026-07-21
- SmolVM is pitched as a lighter in-house sandbox for agent runtimes — aniketmaurya · 2026-07-21
- Three-part PyTorch profiling series explains torch.profiler for accelerator debugging — RisingSayak · 2026-07-21