27B Model Compressed to 3.8GB
victormustar · x · 2026-07-15
It was shared that Bonsai 27B utilizes 1-bit quantization to shrink its size from 54GB to 3.8GB, reportedly retaining 90% of its intelligence.
The post also notes that, powered by custom WebGPU kernels written using Fable 5 and GPT 5.6 Sol, the model can now run locally directly in the browser.
Related event: Bonsai 27B: The first 27B model that runs on phones(15 posts)→
More from Infra
- 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
- AMD shows Ryzen AI Halo as a 100% local AI platform for on-device workflows — Sam Witteveen · 2026-07-21