Meta Lingua is a lightweight and efficient library for training and inference of large language models (LLMs) designed specifically for research purposes. It utilizes easy-to-modify PyTorch components, enabling researchers to experiment with new architectures, loss functions, and datasets. The library aims to facilitate end-to-end training, inference, and evaluation, providing tools for better understanding the speed and stability of the models. Although Meta Lingua is still under development, it already offers several sample applications demonstrating how to use this repository.