Ternary Bonsai 2 27B: 9x smaller than Qwen3.8 27B, keeps 98.2% of performance
TheZachMueller · x · 2026-09-18
- PrismML released Ternary Bonsai 2 27B, a ternary-quantized model based on Qwen3.8 27B that is 9x smaller than its full-precision counterpart at just 5.9 GB, while retaining 98.2% of aggregate benchmark performance.
- Two months after the first Bonsai 27B, the big change is quality: notable gains in agentic coding, multimodal reasoning, and long-horizon tool use.
- Available today under Apache 2.0, targeting local AI deployment.
Related event: PrismML's Ternary Bonsai 2 27B Shrinks to 5.9GB, Retains 98.2% Performance(20 posts)→
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