by Xiaohao-Liu · LLM Plugin · ★ 143
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Awesome Multi-Token Prediction (MTP!) A curated list of papers, tools, and resources on Multi-Token Prediction (MTP) and related techniques in Large Language Models (LLMs), Speech-Language Models (SLMs), and more. Multi-Token Prediction (MTP) is an emerging paradigm that enhances the efficiency and capability of language and multimodal models by allowing them to predict multiple tokens simultaneously. This repository collects recent research and implementations in this exciting direction. 🔬 Recent Papers (2026)
| Stars | 143 |
| Forks | 10 |
| Category | LLM Plugin |
| Quality Score | 59.0445949875859/100 |
| Last Updated | 2026-06-13 |
| Created | 2025-06-20 |
| Est. Tokens | ~8k |
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Awesome-Multi-Token-Prediction is A curated list of papers, tools, and resources on Multi-Token Prediction (MTP) and related techniques in Large Language Models (LLMs), Speech-Language Models (SLMs), and more.. It is categorized as a LLM Plugin with 143 GitHub stars.
You can find installation instructions and usage details in the Awesome-Multi-Token-Prediction GitHub repository at github.com/Xiaohao-Liu/Awesome-Multi-Token-Prediction. The project has 143 stars and 10 forks, indicating an active community.
The top alternatives to Awesome-Multi-Token-Prediction on Agent Skills Hub include LLM-VM, Awesome-LLMs-ICLR-24, douyin-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.