Mindket

YuE2-3B

Newversion 1 · updated

Overview

Turns lyrics and a style prompt into a full song with vocals and accompaniment, and lets you edit the melody and chords through a score. An open 3.6B music generation model in English and Chinese for non-commercial use.

YuE2-3B is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python and pip
  • About 7.3 GB of disk space in BF16, or about 1.8 GB at 4-bit (an estimate)
  • A 24 GB GPU to render 48 kHz stereo songs without quantization
Runs in
  • Python on Windows, macOS or Linux, after you download the files
  • A computer with a 24 GB GPU, which the card names for local runs
  • Agent setups that revise score, style and lyrics, as the card describes
Start with
pip install -U huggingface_hub
hf download m-a-p/YuE2-3B

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

YuE2-3B is an open music generation model from m-a-p. You give it lyrics and a style prompt, and it makes a complete song with vocals and accompaniment. It also plans the song as an editable score, so you can change the melody and chords before it renders the audio. The card says it runs locally and supports English and Chinese.

Who it suits

Songwriters, hobby musicians and researchers who want to draft songs from lyrics and edit the musical plan by hand.

IndustryWho uses itHow they use itExample
Music makingSongwritersTurn lyrics and a style note into a demoA first draft of a song from a verse
Music productionProducersEdit the melody and chords in the scoreChanging a chord line and rendering again
ResearchMusic AI researchersStudy planning and synthesis as separate stepsComparing outputs on a song benchmark
Personal projectsHobbyistsMake background songs for their own videosA short song to go under a family video

If you need music for paid commercial work, you can skip it, because the license is non-commercial.

Where to use it

  • Python on Windows, macOS or Linux, after you download the files
  • A computer with a 24 GB GPU, which the card names for local runs
  • Agent setups that revise score, style and lyrics, as the card describes
Use caseWhoWhat they get back
Song from lyricsSongwritersA complete song with vocals and accompaniment
Score editingProducersA new version after changes to melody or chords
Cover of a songHobbyistsA new rendition of a song you have rights to use

How to set it up

  • Python and pip
  • About 7.3 GB of disk space in BF16, or about 1.8 GB at 4-bit (an estimate)
  • A 24 GB GPU to render 48 kHz stereo songs without quantization
  1. Install the Hugging Face hub tools.
  2. Download the model files.
  3. Follow the model card to load the model and render a song.
pip install -U huggingface_hub
hf download m-a-p/YuE2-3B

How to use it

Write the lyrics and a short style prompt, then generate. You can compose with melody and chords, with melody alone, or generate directly, and you can bring your own ABC score. The card also lists text guidance and separate planning and synthesis steps for developers.

Example

You provide two verses of lyrics and a style prompt for a calm acoustic song. The model plans a score, renders vocals with accompaniment and returns a stereo song you can then revise by editing the score.

For newcomers and experts

If you are new to this, start with short lyrics and one clear style prompt. Listen to the result, then ask for a revision.

YuE2 plans a song symbolically first, then synthesizes audio from the plan, which is why editing the score is possible. The card reports a SongBench average of 6.9632 for its best-of-eight setting on 192 WildSongBench prompts. These results are the maker's own and depend on picking the best of eight tries.

  1. You write lyrics and a style prompt
  2. The model plans the song as a score
  3. You edit melody, chords or lyrics if needed
  4. The model renders vocals and music

Good to know

  • Hardware: the card names a 24 GB GPU for local runs without quantization
  • Benchmarks: the figures are the maker's own, and the top score is best-of-eight
SongBench average on WildSongBench prompts, maker's own comparison
YuE2 best-of-86.9632
Suno v56.8721
Suno v66.5562
Suno v6 Wild6.4195
  • License: cc-by-nc-4.0, for non-commercial use
  • Cost to run: no API key or paid service is named, only a capable GPU
  • Data it reaches: downloading fetches model files, and your lyrics and any score you give stay in your own run
  • Not for: commercial use under this license, or covers of songs and voices you do not have the right to use

README and files

README

YuE2-3B

Turns lyrics and a style prompt into a full song with vocals and accompaniment, and lets you edit the melody and chords through a score. An open 3.6B music generation model in English and Chinese for non-commercial use.

Made by m-a-p on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.

About

What it is: YuE2-3B is an open music generation model from m-a-p. You give it lyrics and a style prompt, and it makes a complete song with vocals and accompaniment. It also plans the song as an editable score, so you can change the melody and chords before it renders the audio. The card says it runs locally and supports English and Chinese.

Who it suits: Songwriters, hobby musicians and researchers who want to draft songs from lyrics and edit the musical plan by hand.

Industry | Who uses it | How they use it | Example
Music making | Songwriters | Turn lyrics and a style note into a demo | A first draft of a song from a verse
Music production | Producers | Edit the melody and chords in the score | Changing a chord line and rendering again
Research | Music AI researchers | Study planning and synthesis as separate steps | Comparing outputs on a song benchmark
Personal projects | Hobbyists | Make background songs for their own videos | A short song to go under a family video

If you need music for paid commercial work, you can skip it, because the license is non-commercial.

Where to use it:

  • Python on Windows, macOS or Linux, after you download the files
  • A computer with a 24 GB GPU, which the card names for local runs
  • Agent setups that revise score, style and lyrics, as the card describes
Use case | Who | What they get back
Song from lyrics | Songwriters | A complete song with vocals and accompaniment
Score editing | Producers | A new version after changes to melody or chords
Cover of a song | Hobbyists | A new rendition of a song you have rights to use

How to set it up:

  • Python and pip
  • About 7.3 GB of disk space in BF16, or about 1.8 GB at 4-bit (an estimate)
  • A 24 GB GPU to render 48 kHz stereo songs without quantization
  1. Install the Hugging Face hub tools.
  2. Download the model files.
  3. Follow the model card to load the model and render a song.
pip install -U huggingface_hub
hf download m-a-p/YuE2-3B

How to use it: Write the lyrics and a short style prompt, then generate. You can compose with melody and chords, with melody alone, or generate directly, and you can bring your own ABC score. The card also lists text guidance and separate planning and synthesis steps for developers.

Example: You provide two verses of lyrics and a style prompt for a calm acoustic song. The model plans a score, renders vocals with accompaniment and returns a stereo song you can then revise by editing the score.

For newcomers and experts: If you are new to this, start with short lyrics and one clear style prompt. Listen to the result, then ask for a revision.

YuE2 plans a song symbolically first, then synthesizes audio from the plan, which is why editing the score is possible. The card reports a SongBench average of 6.9632 for its best-of-eight setting on 192 WildSongBench prompts. These results are the maker's own and depend on picking the best of eight tries.

You write lyrics and a style prompt
The model plans the song as a score
You edit melody, chords or lyrics if needed
The model renders vocals and music

Good to know:

  • Hardware: the card names a 24 GB GPU for local runs without quantization
  • Benchmarks: the figures are the maker's own, and the top score is best-of-eight
Title: SongBench average on WildSongBench prompts, maker's own comparison
YuE2 best-of-8: 6.9632
Suno v5: 6.8721
Suno v6: 6.5562
Suno v6 Wild: 6.4195
  • License: cc-by-nc-4.0, for non-commercial use
  • Cost to run: no API key or paid service is named, only a capable GPU
  • Data it reaches: downloading fetches model files, and your lyrics and any score you give stay in your own run
  • Not for: commercial use under this license, or covers of songs and voices you do not have the right to use

On Hugging Face, 13 November 2026

  • Task: text to audio
  • Parameters: 3.6B
  • Weights: about 7.3 GB in BF16; about 1.8 GB at 4-bit (estimate)
  • Formats: Safetensors
  • Downloads in the last 30 days: 22,317
  • Likes: 1,253
  • License: cc-by-nc-4.0
  • Languages: zh, en
  • Quantized versions: 25
  • Fine-tunes: 12
  • Tags: safetensors, yue2, music-generation, symbolic-planning, agentic-editing, text-to-audio

Links

Get the model

Download its files with Hugging Face's command line:

pip install -U huggingface_hub
hf download m-a-p/YuE2-3B

Then follow the usage in its model card. Nothing in this kit runs by itself.

Files
README.md  5 KB

1 file, 5 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face models in the same category that share the most tags with this one.

ProductDownloads, last 30 daysLikesParametersLicenseLast change
YuE2-3B This page22,3171,2533.6Bcc-by-nc-4.0
YuE2 Particle Sliders v2Shares music-generation · text-to-audio · yue2022—cc-by-nc-4.0
YuE2-GGUFShares music-generation · yue28,466,40131632Mcc-by-nc-4.0
MLTNT Militant Roots Reggae LoRAs for YuE2Shares music-generation · yue2027—cc-by-nc-4.0
YuE2-3B-instrumental-kto-loraShares music-generation · yue207—cc-by-nc-4.0
phonon-31m-enShares text-to-audio · safetensors248,57816041.1Mapache-2.0
Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13.

Reviews

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What people say

Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.

NMAI ResearchMusic generated with YuE2-3B (m-a-p/YuE2-3B), run locally. Lyrics, arrangement brief and the Cosmic Halo visualiser by Claude Opus 5.5 (Anthropic); selected and curated by NM AI Research.1 replyNMAI ResearchMusic generated with YuE2-3B (m-a-p/YuE2-3B), run locally. The extended mix is the original take re-cut at bar lines so that the second chorus plays twice; nothing was regenerated.1 replyNMAI ResearchMusic generated with YuE2-3B (m-a-p/YuE2-3B), run locally. The extended mix is the original take re-cut at bar lines so that the second chorus plays twice; nothing was regenerated.1 replyNMAI ResearchMusic generated with YuE2-3B (m-a-p/YuE2-3B), run locally. The visualisation is drawn from measurements of the song: the wheel shows how strongly each of the twelve notes sounds, the ring follows the beat, and the landscape is the song's energy by frequency, newest at the front.1 replyNMAI ResearchMusic generated with YuE2-3B (m-a-p/YuE2-3B), run locally. Lyrics, arrangement brief and the Cosmic Halo visualiser by Claude Opus 5.5 (Anthropic); selected and curated by NM AI Research.1 replyNMAI ResearchMusic generated with YuE2-3B (m-a-p/YuE2-3B), run locally. Lyrics, arrangement brief and the Cosmic Halo visualiser by Claude Opus 5.5 (Anthropic); selected and curated by NM AI Research.1 replyデイリーHuggingFaceトレンド今日のHuggingFaceトレンド m-a-p/YuE2-3B YuE2-3Bは、歌詞とスタイルプロンプトからボーカルと伴奏を含む楽曲を生成するオープンな音楽生成モデルです。 編集可能なスコアを用いてメロディやコードを調整でき、Suno v5/v6などの商用モデルに匹敵する高品質な楽曲生成を実現しています。デイリーHuggingFaceトレンド今日のHuggingFaceトレンド m-a-p/YuE2-3B YuE2は、歌詞とスタイルプロンプトからボーカルと伴奏付きの楽曲を生成するオープンな音楽生成モデルです。 Suno v5/v6に匹敵する高品質な楽曲生成が可能で、編集可能なスコアを用いてメロディやコードを調整できるのが特徴です。 WildSongBenchにおいて高い性能を示しており、最先端の楽曲品質とテキスト整合性を実現することを目的としています。

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