Cactus Bonsai compresses 27B model to 3.9GB with 1-bit quantization

Cactus Bonsai uses 1-bit quantization and quantization-aware training to fit a 27-billion-parameter model into 3.9GB, enabling local inference on mobile hardware. At standard FP32 precision, the same model would require over 108GB.