There's an interactive chart and some extra data in the blog post if you're interested. There are plenty of KL-divergence benchmarks for GGUF models, but most of them compare one GGUF quant against another. I wanted to know how those quants stack up against other commonly used formats (especially NVFP4). I tested 16 quantizations of Qwen3.6 27B: GGUF models in llama.cpp and the others in vLLM. At each token in the test set, I compared the quantized model’s next-token probability distribu...