Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker

This article provides a guide on how to train the Llama 2 language model with AWS Trainium instances on Amazon SageMaker. It covers the benefits of using Trainium accelerators and SageMaker's managed infrastructure, including resiliency features and automatic checkpointing.

Specifically, the article covers:

• Overview of AWS Trainium instances for training workloads
• Using the Neuron Distributed library with SageMaker
• Solution overview for training Llama 2 with Trainium
• Prerequisites and getting started
• Running the training job with pipeline and tensor parallelism
• Continuous pre-training process
• Converting the Neuron Distributed checkpoint for inference