Qing Shao

Benchmark Averages Hide the Failures That Matter: Quantizing ESM-2 for Protein Variant-Effect Prediction

Six numerical precision configurations for ESM-2 protein language models are benchmarked across throughput, memory footprint and predictive accuracy, on two workloads with sharply different characteristics: bulk embedding extraction and deep mutational scanning variant-effect scoring.