Ulysses Sequence Parallelism

Ulysses Sequence Parallelism: Training with Million-Token Contexts

Hugging Face published a blog post on Ulysses sequence parallelism, a technique for distributing long-context training across multiple devices by partitioning the sequence dimension. The post covers how Ulysses enables training with million-token context windows by reducing per-device memory requirements. This is relevant to the ongoing challenge of scaling transformer training to very long sequences efficiently.