PrismML's Bonsai 2 27B Cuts AI Memory Use 9x, Keeps 98% Accuracy
Pasadena, Calif. – September 19, 2026 -- PrismML has released Bonsai 2 27B, a ternary-compressed version of a 27-billion-parameter multimodal model that runs at just 5.9 GB while retaining 98.2% of its full-precision counterpart's benchmark performance.
Ternary compression shrinks memory footprint by more than 9x
Built on Qwen3.8 27B, Bonsai 2 27B reduces the model's memory requirement to 5.9 GB, a reduction of over nine times compared with the full-precision original. The model contains 27.8 billion parameters and was trained using Google v5 TPUs.