megatron-lm

What problem does it solve?

Megatron-LM enables scalable training of transformer models at massive parameter counts across GPU clusters.

Core Features & Use Cases

• Parallelism configuration for tensor, pipeline, context, and MoE experts.
• Data loading, tokenization, and HuggingFace integration for large-scale training.
• Checkpoint management and Megatron Bridge conversion to/from HuggingFace.
• Use Cases: training Megatron-sized models, MoE training, conversion workflows.

Quick Start

Configure a multi-node GPU cluster with tensor, pipeline, and context parallelism, then run the Megatron-LM training script to start a scalable model training job.