scGPT is a foundation model for single-cell multi-omics built using generative AI techniques. It applies transformer-based architectures similar to GPT to biological single-cell data, enabling tasks such as cell embedding, zero-shot integration, and continual pretraining. The model comes with pretrained checkpoints and integrates with HuggingFace for model loading across PyTorch CPU, GPU, and flash-attention backends.