Infini-Transformer (https://arxiv.org/abs/2404.07143) is a powerful and versatile transformer model designed for a wide range of natural language processing tasks. It leverages state-of-the-art techniques and architectures to achieve exceptional performance and scalability to infinite context lengths.

• Scalable architecture for handling long sequences
• Large-scale pre-training on diverse datasets
• Support for multiple downstream tasks, including text classification, question answering, and language generation
• Efficient fine-tuning for task-specific adaptation
• Includes a Mixture-of-Depths transformer layer that incorporates Infini-Attention (https://arxiv.org/abs/2404.02258)

To get started with Infini-Transformer:

• Clone the repository:

      git clone https://github.com/dingo-actual/infini-transformer.git

• Install it from source:

      pip install git+https://github.com/dingo-actual/infini-transformer.git

This project is licensed under the MIT License.

We would like to thank the researchers and developers whose work has inspired and contributed to the development of Infini-Transformer and Mixture-of-Depths Transformer.

Also, we'd like to give special thanks to all the contributors, collaborators and people who have given feedback. Your efforts have made what was a rough outline of an implementation into something actually usable.

If you have any questions or need further assistance, please feel free to reach out to me at [email protected].