QuantiBias: Benchmarking Quantization-Induced Bias in LLMs

Researchers found that quantized large language models exhibit increased bias, with around 24-27% of open-ended answers containing stereotypes. QuantiBias, a benchmark, was developed to evaluate this bias. It tested two models, Qwen and Gemma, across eight benchmarks and found that quantization can introduce bias not detected by standard safety checks.