⌨ What if you could start voice typing, open a new chat, and fire off a prompt — without ever leaving your keyboard?
@Gokuntk built the Vibe Pad, a 4-button Bluetooth macro pad on our XIAO nRF52840 for coding with AI assistants.
Pairs as a standard BLE keyboard — no software. Fully customizable keys.
Check it out on @instructables 👉 https://t.co/zzFo467gys
Today, we’re announcing Bonsai 27B: the first 27B-class model to run on a phone.
Bonsai 27B is the new multimodal flagship of the Bonsai family. Based on Qwen3.6 27B, it brings a new capability tier to local AI: multi-step reasoning, structured tool use, long-context workflows, and coherent agentic loops.
Until now, models in this class have been impractical to deploy locally. A 27B model occupies roughly 54 GB in 16-bit precision, and even a strong 4-bit build is around 18GB - too large for a phone and for most laptops.
Bonsai 27B changes that.
It comes in two variants:
• Ternary Bonsai 27B: 5.9 GB, 1.71 effective bits per weight, optimized for laptop-class quality.
• 1-bit Bonsai 27B: 3.9 GB, 1.125 effective bits per weight, optimized for phone-class footprint.
Everything is open-sourced today under the Apache 2.0 license.