The ‘Q4_K_M’ Illusion: Why KL Divergence and Perplexity Are Your Only Friends in the GGUF Wild West
A data-driven approach to evaluating quantized LLMs reveals that not all Q4_K_M files are created equal. KL Divergence and Perplexity metrics expose the hidden variance in quantization quality, helping you avoid the ‘vibes-based’ selection trap.
