Differential Transformer V2

Differential Transformer V2 has been released, introducing an enhanced architecture that incorporates differential attention mechanisms to improve context handling in long sequences. The model scales up to 1.5 billion parameters and demonstrates a 15% improvement on the GLUE benchmark compared to its predecessor. This advancement is significant for practitioners as it offers better performance on natural language understanding tasks, particularly in scenarios requiring long-range dependencies.