Prism ML · Small Language Models

Bonsai 27B

Ultra-low-bit quantized multimodal LLM based on Qwen3.6 27B, with a ternary {-1,0,+1} variant (1.71 bits/weight, 5.9 GB, ~95% of full-precision performance) and a 1-bit binary variant (1.125 bits/weight, 3.9 GB, ~90% retention). Quantizes end-to-end with no higher-precision escape hatches, keeping 262K context, tool calling, vision, and speculative decoding.