moe-training
MoE Training: Mixture of Experts
When to Use This Skill
Use MoE Training when you need to:
- Train larger models with limited compute (5× cost reduction vs dense models)
- Scale model capacity without proportional compute increase
- Achieve better performance per compute budget than dense models
- Specialize experts for different domains/tasks/languages
- Reduce inference latency with sparse activation (only 13B/47B params active in Mixtral)
- Implement SOTA models like Mixtral 8x7B, DeepSeek-V3, Switch Transformers
Notable MoE Models: Mixtral 8x7B (Mistral AI), DeepSeek-V3, Switch Transformers (Google), GLaM (Google), NLLB-MoE (Meta)
Installation
# DeepSpeed with MoE support
pip install deepspeed>=0.6.0
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