Global-batch load balance improves MoE LLM training efficiency; technical discussion from Hugging Face Modelscope Discord notes it as a near-free lunch
Read the original at qwenlm.github.io→GITHUB HUGGING FACE MODELSCOPE DISCORD Background The Mixture-of-Experts (MoEs) architecture has become a popular model-parameter-scale-up technique. Typically, one MoE layer consists of a router (often parameterized...
Original headline: "Global-batch load balance almost free lunch to improve your MoE LLM training"