AEmotionStudio/yue2-models

YuE2 — Mæstræa mirror

A byte-identical mirror of the YuE2 release, laid out in lanes so each component can be fetched on its own. Nothing here is original work. It exists so Mæstræa can pull the LM and a decoder in one request instead of stitching together several upstream repositories.

If you are not using Mæstræa, prefer the originals — they are the canonical source and carry the authors' own documentation.

Attribution

YuE2 is by the M·A·P team (Multimodal Art Projection) and its collaborators. Per the YuE2 weight licence, the attribution for these files is the model name and its source repository:

Lane	Model	Source
lm/	YuE2-3B	https://huggingface.co/m-a-p/YuE2-3B
vae/	YuE2-Vae	https://huggingface.co/m-a-p/YuE2-Vae
vae_legacy/	YuE2-Vae-legacy	https://huggingface.co/m-a-p/YuE2-Vae-legacy
sheetsage2/	SheetSage2	https://huggingface.co/m-a-p/SheetSage2
mert2/	MERT-v2-FullSong	https://huggingface.co/m-a-p/MERT-v2-FullSong

Upstream code and documentation: https://github.com/multimodal-art-projection/YuE

Licence — non-commercial

All weights in this repository are licensed CC BY-NC 4.0 (Creative Commons Attribution-NonCommercial 4.0 International):

• Non-commercial use only. You may not use these weights, or music made with them, for commercial purposes.
• Attribution required. If you share what you make, identify YuE2, the model name, and its source repository.

The full licence text is in MODEL_LICENSE, unmodified from upstream. YuE2's inference code is separately Apache-2.0; third-party components inside the VAE (Oobleck / stable-audio-tools and SnakeBeta / BigVGAN, both MIT) retain their own licences — see THIRD_PARTY_NOTICES.md and licenses/.

Mirroring is done under the CC BY-NC grant to reproduce and share the licensed material for non-commercial purposes. No file has been modified; integrity can be checked against each lane's weights_manifest.json, which is upstream's own.

Verifying

Each lane carries upstream's weights_manifest.json with SHA-256 digests:

import hashlib, json
from pathlib import Path

lane = Path("lm")
manifest = json.loads((lane / "weights_manifest.json").read_text())
for name, meta in manifest["files"].items():
    h = hashlib.sha256()
    with open(lane / name, "rb") as f:
        for block in iter(lambda: f.read(8 << 20), b""):
            h.update(block)
    assert h.hexdigest() == meta["sha256"], name
print("all files match upstream")