Ok that's so cool
Multi-token prediction technology makes Gemma 4 run 1.5 times faster locally, reaching 138 tokens/s.
入选理由:Gemma 4使用MTP后,性能从97 tokens/s提升至138 tokens/s。
概念
也叫:Multi-token Prediction、多token预测
多线程处理技术,用于提升模型推理效率
最近变化
2026-05-24 · MTP 支持使 llama.cpp 推理速度提升 78%
MTP 被反复提及时,通常意味着它正在影响产品路线、开发者工作流或 AI 产业判断。这个页面把分散材料合并成一个可持续更新的观察入口。
Ok that's so cool Multi-token prediction makes Gemma 4 run way faster locally! Same model, same la...
Paul Couvert(@itsPaulAi) · 7.8 分
llama.cpp with MTP support makes local models fast enough to use as daily drivers 🚀 Qwen3.6-27B d...
clem 🤗(@ClementDelangue) · 7.5 分
I've seen some confusion online on how to run llama.cpp with MTP (Multi-token prediction) in the sim...
Julien Chaumond(@julien_c) · 7.5 分
已收录 3 篇与「MTP」相关的 AI 资讯和分析。
Multi-token prediction technology makes Gemma 4 run 1.5 times faster locally, reaching 138 tokens/s.
入选理由:Gemma 4使用MTP后,性能从97 tokens/s提升至138 tokens/s。
With MTP support, llama.cpp improves local model inference speed by 78%, boosting Qwen3.6-27B from 25 to 45 tokens/sec on A10G.
入选理由:MTP 支持使 llama.cpp 推理速度提升 78%
MTP is a new speculative decoding feature built into llama.cpp that can approximately double token generation speed for most use cases, achieving ~30 tok/sec with the Dense 27B model and ~100 tok/sec with the MoE model.
入选理由:MTP是内置于模型本身的投机解码新特性,可将token生成速度提升约2倍
与「MTP」经常一起出现的 AI 术语。
💡 想追踪「MTP」的长期趋势?去 实体雷达 · MTP 查看详细分析和跨材料问答。