Quantization Slashes AI Model Size By 75% With Minimal Quality Loss, But 2-Bit Compression Causes Near-Total Collapse
Quantization can slash AI model sizes by 75% with minimal quality loss at 8-bit and 4-bit precision, but pushing compression to 2-bit causes near-total collapse, with 97% of benchmark questions going unanswered and responses devolving into incoherent loops, according to new testing on Qwen3.5 9B.