---
title: SongGeneration
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/SongGeneration"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/SongGeneration.md"
repository: AI-ModelScope/SongGeneration
last_updated: 2026-06-13
parameters: 1.4B
tensor_type:
  - F16
  - F32
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
  - zh
downloads: 4041
stars: 17
---

# SongGeneration

> SongGeneration - AI-ModelScope 在 ModelScope 开源的模型。Demo  |  Paper  |  Code  |  Space Demo

- **Repository**: AI-ModelScope/SongGeneration
- **Parameters**: 1.4B
- **Downloads**: 4041
- **Stars**: 17
- **Last updated**: 2026-06-13

Source: https://www.modelscope.cn/models/AI-ModelScope/SongGeneration

---

# SongGeneration

<p align="center"><img src="img/logo.jpg" width="40%"></p>
<p align="center">
    <a href="https://levo-demo.github.io/">Demo</a> &nbsp;|&nbsp; <a href="https://arxiv.org/abs/2506.07520">Paper</a>  &nbsp;|&nbsp; <a href="https://github.com/tencent-ailab/songgeneration">Code</a>  &nbsp;|&nbsp; <a href="https://huggingface.co/spaces/tencent/SongGeneration">Space Demo</a>
</p>


This repository is the official weight repository for LeVo: High-Quality Song Generation with Multi-Preference Alignment. In this repository, we provide the SongGeneration model, inference scripts, and the checkpoint that has been trained on the Million Song Dataset.

## Model Versions

| Model                    | Max Length |       Language       | GPU Memory | RTF(H20) | Download Link                                                |
| ------------------------ | :--------: | :------------------: | :--------: | :------: | ------------------------------------------------------------ |
| SongGeneration-base      |   2m30s    |          zh          |  10G/16G   |   0.67   | [Huggingface](https://huggingface.co/tencent/SongGeneration/tree/main/ckpt/songgeneration_base) |
| SongGeneration-base-new  |   2m30s    |        zh, en        |  10G/16G   |   0.67   | [Huggingface](https://huggingface.co/lglg666/SongGeneration-base-new) |
| SongGeneration-base-full |   4m30s    |        zh, en        |  12G/18G   |   0.69   | [Huggingface](https://huggingface.co/lglg666/SongGeneration-base-full) |
| SongGeneration-large     |   4m30s    |        zh, en        |  22G/28G   |   0.82   | [Huggingface](https://huggingface.co/lglg666/SongGeneration-large) |
| SongGeneration-v2-large  |   4m30s    | zh, en, es, ja, etc. |  22G/28G   |   0.82   | [Huggingface](https://huggingface.co/lglg666/SongGeneration-v2-large) |
| SongGeneration-v2-medium |   4m30s    | zh, en, es, ja, etc. |  12G/18G   |   0.69   | Coming soon                                                  |
| SongGeneration-v2-fast   |   4m30s    | zh, en, es, ja, etc. |     -      |    -     | Coming soon                                                  |                                                |

## Overview

🚀 We introduce LeVo 2 (SongGeneration 2), an open-source music foundation model designed to shatter the ceiling of open-source AI music by achieving true commercial-grade generation. 

Through a large-scale, rigorous expert evaluation (20 industry professionals, 6 core dimensions, 100 songs per model), LeVo 2 has proven its superiority:

- 🏆 Commercial-Grade Musicality: Comprehensively outperforms all open-source baselines across Overall Quality, Melody, Arrangement, Sound Quality, and Structure. Its subjective generation quality successfully rivals top-tier closed-source commercial systems (e.g., MiniMax 2.5).
- 🎯 Precise Lyric Accuracy: Achieves an outstanding Phoneme Error Rate (PER) of 8.55%, effectively solving the lyrical hallucination problem. This remarkable accuracy significantly outperforms top commercial models like Suno v5 (12.4%) and Mureka v8 (9.96%).
- 🎛️ Exceptional Controllability: Highly responsive to multi-modal instructions, including text descriptions and audio prompts, allowing for precise control over the generated music.

📊 *For detailed experimental setups and comprehensive metrics, please refer to the [Evaluation Performance](#Evaluation-Performance) section below or our upcoming technical report.*

<img src="img/output.png" alt="img" style="zoom:100%;" />

## License

The code and weights in this repository is released in the [LICENSE](LICENSE)  file.