27B模型能塞进手机，3.9GB就跑得动，还完全开源。手机党不用再羡慕桌机了。
PrismML今天推出Bonsai 27B，首个能在手机上运行的27B参数多模态模型。基于Qwen3.6 27B，提供两个变体：三元版5.9GB（1.71位/权重）和1-bit版3.9GB（1.125位/权重）。该模型支持多步推理、结构化工具使用和长上下文智能体循环。全部代码和权重已开源（Apache 2.0），此前运行类似模型需要千美元级电脑。
Absolute game changer Anyone can now run a 27B model on a phone 🔥 - Multimodal - Perfect for age...
Absolute game changer Anyone can now run a 27B model on a phone 🔥 - Multimodal - Perfect for agents - 100% open source Yesterday it would have required a thousand dollars computer. Bullish on open source Bullish on local models PrismML @PrismML 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. 🔗 View Quoted Tweet 💬 2 🔄 3 ❤️ 8 👀 2965 📊 4 ⚡