This repository provides a PyTorch implementation of ALBERT (A Lite BERT), a parameter-efficient transformer model designed for self-supervised learning of language representations. It includes pre-trained model downloads, tools to convert TensorFlow checkpoints to PyTorch format, and fine-tuning scripts for downstream NLP tasks. The implementation supports multiple model sizes (base, large, xlarge, xxlarge) and both v1 and v2 releases.