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Hugging Face publishes open-source Mixture-of-Experts training guide based on 800k GPU hours

Spanning roughly 70k words, 55 interactive figures and runnable code, the free handbook details expert sizing, fp32 routers, all-to-all communication and dense upcycling.

Logo: Hugging FaceCover by AI Compass

Hugging Face released The Ultimate MoE Training Handbook on 5 November 2026, a free 70k-word technical guide with 55 interactive figures and runnable code based on 800k GPU hours of internal experiments covering expert sizing, shared experts, hiding all-to-all communication overhead, fp32 softmax versus sigmoid and sqrt(softplus) routers, auxiliary loss versus DeepSeek loss-free bias, dense-to-MoE checkpoint upcycling and variable-expert inference serving.

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