Multi-Token Prediction (MTP) in DeepSeek-V3 addresses the limitations of standard next-token autoregressive training by adding auxiliary prediction heads that forecast multiple future tokens simultaneously. Each MTP head combines the hidden state at position t with the embedding of the intermediate token, processes them through
Table of contents
Autoregressive Model Limits and Multi-Token Prediction in DeepSeek-V3Why Next-Token Prediction Limits DeepSeek-V3Multi-Token Prediction in DeepSeek-V3: Predicting Multiple Tokens AheadDeepSeek-V3 Architecture: Multi-Token Prediction Heads ExplainedGradient Insights for Multi-Token Prediction in DeepSeek-V3DeepSeek-V3 Training vs. Inference: How MTP Changes BothMulti-Token Prediction Loss Weighting and Decay for DeepSeek-V3Step-by-Step Implementation of Multi-Token Prediction Heads in DeepSeek-V3Integrating Multi-Token Prediction with DeepSeek-V3’s Core TransformerTheoretical Foundations: MTP, Curriculum Learning, and Auxiliary TasksMulti-Token Prediction Benefits: Coherence, Planning, and Faster ConvergenceSummarySort: