#0001
PrismML ships `Bonsai Image 4B` as 1-bit and ternary image models
60radar
Bonsai Image 4BImage generation model — 1-bit/ternary browser runtime
A text-to-image model small enough for browser-side WebGPU changes the demo and prototyping surface. Worth testing for local-first image features; quality still needs validation.
- Weights are about 3GB, versus roughly 16GB for
FLUX.2 Klein 4B; distribution and local demos get much lighter. BinaryandTernaryvariants target extreme quantization, so the real test is prompt quality, latency, and failure modes.- Apache-2.0 licensing lowers commercial friction. Browser-local generation can reduce API cost and privacy concerns for small tools.
- The Hugging Face
WebGPUdemo matters because no backend GPU is required for first-contact testing.
Source: www.reddit.com/r/LocalLLaMA/comments/1togflk/prismml_jusRead original →