# YuE: Scaling Open Foundation Models for Long-Form Music
Source: https://savrn.com/papers/yue-scaling-open-foundation-models-for-long-form-music-generation
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

---

## Abstract

We tackle the task of long-form music generation--particularly the challenging lyrics-to-song problem--by introducing YuE, a family of open foundation models based on the LLaMA2 architecture. Specifically, YuE scales to trillions of tokens and generates up to five minutes of music while maintaining lyrical alignment, coherent musical structure, and engaging vocal melodies with appropriate accompaniment. It achieves this through (1) track-decoupled next-token prediction to overcome dense mixture signals, (2) structural progressive conditioning for long-context lyrical alignment, and (3) a multitask, multiphase pre-training recipe to converge and generalize. In addition, we redesign the in-context learning technique for music generation, enabling versatile style transfer (e.g., converting Japanese city pop into an English rap while preserving the original accompaniment) and bidirectional generation. Through extensive evaluation, we demonstrate that YuE matches or even surpasses some of the proprietary systems in musicality and vocal agility. In addition, fine-tuning YuE enables additional controls and enhanced support for tail languages. Furthermore, beyond generation, we show that YuE's learned representations can perform well on music understanding tasks, where the results of YuE match or exceed state-of-the-art methods on the MARBLE benchmark. Keywords: lyrics2song, song generation, long-form, foundation model, music generation

[Full paper on arXiv](https://arxiv.org/abs/2503.08638)

## Details

arXiv identifier

2503.08638

Published

2025-03-11

Authors

Ruibin Yuan, Hanfeng Lin, Shuyue Guo, Ge Zhang, Jiahao Pan, Yongyi Zang, Haohe Liu, Yiming Liang, Wenye Ma, Xingjian Du, Xinrun Du, Zhen Ye, Tianyu Zheng, Yinghao Ma, Minghao Liu, Zeyue Tian, Ziya Zhou, Liumeng Xue, Xingwei Qu, Yizhi Li, Shangda Wu, Tianhao Shen, Ziyang Ma, Jun Zhan, Chunhui Wang

## Open Models Built on This Paper

Every model in the SAVRN Model Hub whose card cites this paper, most downloaded first, with what it takes to run each one.

| Model | Task | Size | License | Monthly downloads | Cheapest setup at 16-bit |
| --- | --- | --- | --- | --- | --- |
| [YuE2-GGUF](https://savrn.com/models/yue2-gguf) Serveurperso | — | — | cc-by-nc-4.0 | 2.7M | — |
| [SheetSage2-GGUF](https://savrn.com/models/sheetsage2-gguf) Audio.cpp | [Feature extraction](https://savrn.com/models/tasks/feature-extraction) | — | cc-by-nc-4.0 | 24.3k | — |
| [SheetSage2](https://savrn.com/models/sheetsage2) Multimodal Art Projection | [Feature extraction](https://savrn.com/models/tasks/feature-extraction) | 57M | cc-by-nc-4.0 | 12.6k | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) $1.85/hr |
| [Ruach_Studio_Models_v2](https://savrn.com/models/ruach-studio-models-v2) Viktor Zhuromskyy | [Text to image](https://savrn.com/models/tasks/text-to-image) | — | other | 780 | — |

By task: [Feature extraction](https://savrn.com/models/tasks/feature-extraction) (2) · [Text to image](https://savrn.com/models/tasks/text-to-image) (1)

## Explore More

- [All research papers](https://savrn.com/papers)
- [The model directory](https://savrn.com/models)
- [Datasets](https://savrn.com/datasets)

## Source

- arXiv metadata, read 2026-10-15.
- [How the hub is built](https://savrn.com/model-hub/methodology)