Research & Innovation
A 27-Billion-Parameter Model in 6GB, Keeping 98% of Its Intelligence
PrismML's Ternary-Bonsai-2-27B ships GGUF builds at roughly 1.72 bits per weight, putting a 27B model in 5.95GB against a ~54GB FP16 baseline — a 9x reduction while retaining a claimed 98.2% of FP16 benchmark performance. It entered our tracker at trending rank #4 with 405,609 downloads, and requires PrismML's llama.cpp fork.