moe-training

What problem does it solve?

This Skill enables the training of large-scale Mixture of Experts (MoE) models efficiently, reducing computational costs and enabling the development of more powerful AI architectures.

Core Features & Use Cases

• Efficient Large Model Training: Train models with billions of parameters using significantly less compute compared to dense models.
• Sparse Model Architectures: Implement state-of-the-art MoE models like Mixtral, DeepSeek-V3, and Switch Transformers.
• Use Case: You want to train a cutting-edge LLM that rivals Mixtral 8x7B in performance but have limited GPU resources. This Skill provides the tools and configurations to achieve that goal by leveraging MoE's computational efficiency.

Quick Start

Use the moe-training skill to train a Mixtral-style MoE model using DeepSpeed with the provided configuration.