Comparison of different quantization techniques and their impact on inference time. And how to optimize inference time with quantizations using vllm.

In-depth exploration of common pitfalls when working with open-source Large Language Models. Covers topics like managing expectations, selecting the right model, optimizing resource use, setting up prompt templates, and maximizing model potential.