Image-aware chat with a smaller desktop download
Multimodal · Ternary
by PrismML
Bonsai 2.
The small-tree idea made literal: ternary weights squeeze a vision-and-reasoning family into downloads that leave more of your device free for the rest of your day.
Built for a real local rhythm.
These are good-fit starting points—not promises of benchmark performance. Choose the smallest listed option that comfortably covers your work.
Longer private reasoning on capable Macs
A compact Mac vision assistant
Configured variants, by device.
The formats below are the downloads currently represented in LocalEngine’s model catalogs. GGUF runs through the llama.cpp-based runtime; MLX options use the Apple Silicon MLX runtime.
macOS
27B
- Formats
- Ternary Q2_0 GGUF + Q8_0 vision projector
- Local note
- The 27B build is about 7.6 GB and needs a Mac with 16 GB of memory or more.
Model identity, task category, supported formats, and license are based on the linked Hugging Face Bonsai 2 collection and the LocalEngine macOS/iOS catalogs. Hardware guidance reflects the packaged variants, not a universal system requirement.