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)→
More from Infra
- Marvell-Lumentum deal signals what it takes to compete with Broadcom — BenBajarin · 2026-11-02
- Sam Altman: AI query energy cost fell 1,000x-100,000x in 3-4 years — rohanpaul_ai · 2026-11-02
- Marvell and Lumentum to merge, targeting $550B AI connectivity market — BenBajarin · 2026-11-02
- Samsung chairman visits Yokohama advanced packaging lab, pledging ¥40B investment over five years — pstAsiatech · 2026-11-02
- Sam Altman meets Samsung executives in Korea to deepen memory chip and AI infrastructure cooperation — pstAsiatech · 2026-11-02
- Simulating 200,000 months: can your home AI rig pay rent at 2026 GPU prices? — LeviTurk · 2026-11-02