Expired60% confidenceFactExact time
The MTP draft model typically generates 5–10 candidate tokens serially, which are then batch-verified in parallel by the main model.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
DeepSeek V4 Flash MTP Speculative Decoding Real-World Test: A Guide to 20% Faster Local Inference
bilibili环球AI圈5/29/2026
Related Claims
UnverifiedThe MTP (Multi-Token Prediction) auxiliary training objective allows the model to be used with speculative decoding during inference to improve throughput76% similarUnverifiedMTP adds multiple prediction heads to the model's output layer, enabling the model to simultaneously predict the probability distribution of the next N tokens in a single forward pass, achieving 2–4x inference acceleration without sacrificing generation quality.71% similarVerifiedSpeculative Decoding uses a small, fast draft model to predict multiple tokens in advance, which are then verified in parallel all at once by the large model.71% similarUnverifiedMTP adds multiple prediction heads to the model architecture, enabling the model to simultaneously output probability distributions for multiple future Tokens in a single forward pass70% similarUnverifiedThe MTP layer shares a large number of underlying representations with the main model, which naturally results in higher prediction accuracy.69% similar
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