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Bonsai 2 27B: 5.9GB Ternary AI Model with 98.2% Capability Retention

September 19, 2026 by GangForCode
Bonsai 2 27B ternary AI model with 5.9GB footprint, 262K context, vision and tool calling

PrismML’s Bonsai 2 27B compresses Qwen3.8 27B into a 5.9GB ternary model. Explore its architecture, benchmarks, 262K context, vision, tool calling, local setup, hardware support, and real-world trade-offs.

Categories GenAI, AI Tags Bonsai 2 27B, local AI, PrismML, quantization, Qwen3.8, Ternary AI models Leave a comment
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