Bonsai 27B
### TL;DR
Bonsai 27B is a multimodal, 27-billion-parameter language model optimized for extreme on-device efficiency using 1-bit and ternary weight compression. It enables complex agentic workflows, multi-step reasoning, and tool use on consumer hardware like smartphones and laptops without requiring cloud connectivity.
Key Insights & Metrics
Key Features
- 1-bit and Ternary weight compression achieving a 3.9GB-5.9GB footprint
- Multimodal capabilities supporting vision tasks like screenshots, documents, and camera input
- Full 262K-token context window
- Optimized for on-device agentic loops and autonomous tool-calling
- Supports speculative-decoding for accelerated token generation
- End-to-end local execution via Apple MLX and NVIDIA CUDA
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