Update MoE training in example #251
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Summary of Changes
Hello @chenyushuo, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request enhances the configuration and documentation for training Mixture-of-Experts (MoE) models within the Megatron framework. It introduces parameters to support distributed checkpointing and clarifies the recommended methods for setting up MoE models, ensuring proper integration and successful training.
Highlights
- MoE Training Configuration: Introduced new configuration parameters,
use_dist_checkpointinganddist_checkpointing_path, to Megatron-based training examples for actor rollout and critic models. - MoE Documentation Update: Updated the documentation to provide clearer and more detailed guidance on training Mixture-of-Experts (MoE) models, outlining two distinct approaches: using MBridge or manual model conversion with the newly added distributed checkpointing options.
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Code Review
This pull request updates the documentation and an example configuration to clarify the training process for Mixture-of-Experts (MoE) models with Megatron. It introduces new configuration options, use_dist_checkpointing and dist_checkpointing_path, providing a clear alternative to using MBridge. The changes are well-structured and improve the documentation's clarity. I've found one minor issue in the documentation that needs to be addressed.
Description
As the title says.
Checklist
Please check the following items before code is ready to be reviewed.