Converting dense models into Mixture-of-Experts
英文标题:Converting dense models into Mixture-of-Experts
For the past few weeks I've been trying out converting existing dense models to sparse Mixture-of-Experts models, with no pretraining from scratch. The Idea If you can turn a dense model into an MoE that only runs part of its MLP per token, you get a model that's cheaper per token for roughly the sa
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中文
For the past few weeks I've been trying out converting existing dense models to sparse Mixture-of-Experts models, with no pretraining from scratch. The Idea If you can turn a dense model into an MoE that only runs part of its MLP per token, you get a model that's cheaper per token for roughly the sa
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English / 原文
For the past few weeks I've been trying out converting existing dense models to sparse Mixture-of-Experts models, with no pretraining from scratch. The Idea If you can turn a dense model into an MoE that only runs part of its MLP per token, you get a model that's cheaper per token for roughly the sa