  Currently, there are many quantization methods appeared for LLM quantization,
yet few are user-friendly and easy to be deployed locally. Packages like
TensorRT and Quantohave many underlying structures and self-invoking internal
functions, which are not conducive to developers' personalized development and
learning for deployment. Therefore, we develop LLMEasyQuant, it is a package
aiming to for easy quantization deployment which is user-friendly and suitable
for beginners' learning.
