How do you decide what model variant to use? There's a bunch of Quant method variations of Llama-2-13B-chat-GGML [0], how do you know which one to use? Reading the "Explanation of the new k-quant methods" is a bit opaque.
TLDR: Lower quantization means higher perplexity (i.e. how 'confused' the model is when seeing new information). It's a matter of testing it out and choosing a model that fits your available memory. The higher the quantization number, the better (generally).