1
Clone the Repository
Download the Megatron-LM codebase from the official GitHub repository.
2
Set Up Environment
Install required dependencies including PyTorch, CUDA toolkit, and NCCL for distributed communication.
3
Prepare Dataset
Format and preprocess your training data according to Megatron-LM’s input requirements.
4
Configure Training Parameters
Edit configuration files to specify model size, parallelism settings, and training hyperparameters.
5
Launch Distributed Training
Use the provided launch scripts to start training across multiple GPUs and nodes.