Ternary Bonsai 2 27B: 9x smaller, 98.2% of full-precision performance, Apache 2.0
cephaloform · x · 2026-09-18
PrismML announced Ternary Bonsai 2 27B, based on Qwen3.8 27B. It is 9x smaller than its full-precision counterpart while retaining 98.2% of aggregate benchmark performance, with strong gains in agentic coding, multimodal reasoning and long-horizon tool use. Footprint stays at 5.9 GB; released under Apache 2.0.
Related event: PrismML's Ternary Bonsai 2 27B Shrinks to 5.9GB, Retains 98.2% Performance(20 posts)→
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