> MTP in Inference. Our MTP strategy mainly aims to improve the performance of the main model, so during inference, we can directly discard the MTP modules and the main model can function independently and normally. *Additionally, we can also repurpose these MTP modules for speculative decoding to further improve the generation latency.*[1]

(emphasis mine)

> Instead of predicting just the next single token, DeepSeek-V3 predicts the next 2 tokens through the MTP technique. Combined with the framework of speculative decoding (Leviathan et al., 2023; Xia et al., 2023), it can significantly accelerate the decoding speed of the model.[2]

> As DeepSeek-V3, DeepSeek-V4 series also set MTP modules and objectives. Given that the MTP strategy has been validated in DeepSeek-V3, we adopt the same strategy for DeepSeek-V4 series without modification.[3]

[1]: https://arxiv.org/pdf/2412.19437#subsection.2.2

[2]: https://arxiv.org/pdf/2412.19437#subsubsection.5.4.3

[3]: https://arxiv.org/pdf/2606.19348v1#subsection.2.1

Side comment: I feel you may be too cynical towards your fellow commenters.