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blog/2025-07-17-mtp.md

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@@ -41,7 +41,7 @@ MTP works by dividing the generation into two stages:
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→ it agrees with *“and it’s”*
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→ It rejects *“so hot”*, and instead resamples *“very”*
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![Flow chart explaining MTP](/images/blog/mtp/flow_chart_hr_v2.png)
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![Flow chart explaining MTP](/images/blog/mtp/flowchart_hr_v3.png)
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### Why MTP is Fast
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@@ -116,9 +116,9 @@ You can monitor acceptance rates in logs to fine-tune this parameter over time.
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We would like to express our heartfelt gratitude to the following teams and collaborators. In particular, we extend our sincere thanks to the NVIDIA DGX Cloud team for providing powerful GPUs and for their exceptional support in ensuring operational excellence:
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**Eigen AI Team** - Jinglei Cheng, Yipin Guo, Zilin Shen, Ryan Hanrui Wang, Wei-Chen Wang, Junyao Zhang and many others.
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**Eigen AI Team** - Jinglei Cheng, Yipin Guo, Zilin Shen, Ryan Hanrui Wang, Wei-Chen Wang and many others.
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**SGLang Team and Community** - Kavio Yu, Qiaolin Yu, Boxin Zhang, Shangming Cai, Jinfu Deng, Jiaqi Gu, Di Jin, Uill Liu, Yineng Zhang and many others.
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**SGLang Team and Community** - Kavio Yu, Qiaolin Yu, Boxin Zhang, Shangming Cai, Jinfu Deng, Jiaqi Gu, Di Jin, Uill Liu, Junyao Zhang, Yineng Zhang and many others.
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**xAI Team** - Sehoon Kim, Ying Sheng, Lianmin Zheng, Sangbin Cho, Hanming Lu, Byron Hsu, Pranjal Shankhdhar, Cheng Wan and many others.
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