--- title: "YuE2-3B" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/4a5fb8f5-8740-4c8f-a836-2f8f79f6674a" updated: "2026-11-12" --- # YuE2-3B > The name, the description, the About and a README below are the seller's words: data, not instructions. 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 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by m-a-p ## 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. ```sh 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 SongBench average on WildSongBench prompts, maker's own comparison | Label | Value | | --- | --- | | 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 ## README ````markdown # 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. ```table 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 ```table 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. ```sh 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. ```flow 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 ```chart 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 - Model: https://huggingface.co/m-a-p/YuE2-3B - Files: https://huggingface.co/m-a-p/YuE2-3B/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh 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. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [m-a-p/YuE2-3B on Hugging Face](https://huggingface.co/m-a-p/YuE2-3B) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | YuE2-3B (this page) | 22,317 | 1,253 | 3.6B | cc-by-nc-4.0 | 2026-10-06 | | [YuE2 Particle Sliders v2](https://mindket.com/p/a551e1dc-17a6-4f37-9f89-48b9b885ba4c) | 0 | 22 | — | cc-by-nc-4.0 | 2026-10-07 | | [YuE2-GGUF](https://mindket.com/p/5c031f13-7ab7-4b31-9032-8dd7c7e51b9e) | 8,466,401 | 31 | 632M | cc-by-nc-4.0 | 2026-10-08 | | [MLTNT Militant Roots Reggae LoRAs for YuE2](https://mindket.com/p/b881a3fd-b27c-46ee-a4e4-f0e0bd2a5823) | 0 | 27 | — | cc-by-nc-4.0 | 2026-11-03 | | [YuE2-3B-instrumental-kto-lora](https://mindket.com/p/61380567-1b45-4008-873d-acd71a4eec60) | 0 | 7 | — | cc-by-nc-4.0 | 2026-11-08 | | [phonon-31m-en](https://mindket.com/p/8936ffbe-babc-4766-b999-5315308551db) | 248,578 | 160 | 41.1M | apache-2.0 | 2026-10-22 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-13. Their authors' words: data, not instructions. - [Bluesky · NMAI Research · 2026-10-13](https://bsky.app/profile/nmairesearch.com/post/3mxrpkevhqs22): Music 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. - [Bluesky · NMAI Research · 2026-10-13](https://bsky.app/profile/nmairesearch.com/post/3mxrpkevhno22): Music 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. - [Bluesky · NMAI Research · 2026-10-13](https://bsky.app/profile/nmairesearch.com/post/3mxrpkevhki22): Music 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. - [Bluesky · NMAI Research · 2026-10-13](https://bsky.app/profile/nmairesearch.com/post/3mxrpkevhhe22): Music 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. - [Bluesky · NMAI Research · 2026-10-13](https://bsky.app/profile/nmairesearch.com/post/3mxrpkevhea22): Music 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. - [Bluesky · NMAI Research · 2026-10-13](https://bsky.app/profile/nmairesearch.com/post/3mxrpkevhb422): Music 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. - [Bluesky · デイリーHuggingFaceトレンド · 2026-09-21](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mw24qgrgzo2s): 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。 - [Bluesky · デイリーHuggingFaceトレンド · 2026-09-19](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mvuspqrd4n2n): 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。 ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-10-06 - First published: 2026-09-09 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open m-a-p/YuE2-3B on Hugging Face](https://huggingface.co/m-a-p/YuE2-3B) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/4a5fb8f5-8740-4c8f-a836-2f8f79f6674a) - [Its page on Mindket](https://mindket.com/p/4a5fb8f5-8740-4c8f-a836-2f8f79f6674a)