Key Features and Enhancements

Megatron core documentation is now live!

Model Features

• MoE (Mixture of Experts)
  • Support for Z-loss, Load balancing and Sinkhorn
  • Layer and communications refactor
  • Richer parallelism mappings and EP can be combined with other model parallel techniques for larger MoE variants, e.g. EP + TP + DP + SP + PP
  • Token dropless architecture with Top-K routing
  • Performance optimization with with GroupedGEMM when number of local experts is > 1
  • Distributed checkpointing
• Interleaved rotary embedding

Datasets

• Masked WordPiece datasets for BERT and T5
• Raw and mock datasets

Parallelism

Performance

• Activation offloading to CPU
• Rope and Swiglu fusion
• Sliding window attention (via Transformer Engine)

General Improvements

• Timers