Ternary Bonsai 2 27B

Ternary Bonsai 2 27B is PrismML's ternary-quantized derivative of Qwen3.8-27B (27B dense parameters, Apache 2.0, 256K-token context), compressing weights to roughly 1.7 bits per parameter so the full model fits in under 9 GB while retaining most of the original's benchmark score. It targets coding, math, tool-calling, and image-understanding workloads that need to run locally on a single consumer GPU or high-end laptop rather than in the cloud.