moe-training

SKILL.md

Notable MoE Models: Mixtral 8x7B (Mistral AI), DeepSeek-V3, Switch Transformers (Google), GLaM (Google), NLLB-MoE (Meta)

Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization. Source: orchestra-research/ai-research-skills.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/orchestra-research/ai-research-skills --skill moe-training Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Security certified for safe and reliable code One-click installation with simplified configuration Compatible with Claude Code, Cursor, and more

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