I ran Ternary-Bonsai-27B (2-bit) and Bonsai-27B (1-bit) on Terminal-Bench 2.0, in 8GB VRAM

Explain Like I'm Normal

Independent testing confirms that extremely low-bit quantization (ternary/2-bit) allows hefty 27B parameter models to run on consumer hardware with 8GB VRAM. While performance currently lags behind larger 8-bit models like Qwen, the successful execution and clean tool-calling prove that 'weight-shedding' is a viable path for local AGI.