Beyond a Single Number: Evaluating Quantized Models for Deployment
Summary
This ByteShape article argues that evaluating quantized language models for deployment requires more than a single proxy metric. It presents a three-part framework focused on fit, downstream quality, and deployment throughput, and summarizes why individual metrics like model size, BPW, perplexity, and KL divergence fail to fully predict real-world performance.