Part of the SongGeneration MLX conversion set. Collection: https://huggingface.co/collections/mlx-community/songgeneration-v2-mlx-6a1bf9342dd0806419737229

SongGeneration-v2-large-fp32

Apple MLX weights for the autoregressive audiolm token generator from Tencent SongGeneration v2-large.

This is not a full-stack pure MLX audio pipeline yet: token generation runs with MLX, while FLAC decoding currently uses the official PyTorch Flow1dVAE / separate-tokenizer bridge in ailuntx/SongGeneration-MLX.

TL;DR

Variant	v2-large
Precision	fp32
Converted component	SongGeneration audiolm token generator
Runtime	ailuntx/SongGeneration-MLX
Official model	tencent/SongGeneration
Official code	tencent-ailab/songgeneration

Quick Start

git clone https://github.com/ailuntx/SongGeneration-MLX.git
cd SongGeneration-MLX
python -m venv .venv
.venv/bin/pip install -e .
.venv/bin/pip install -U huggingface_hub hf_transfer

HF_HUB_ENABLE_HF_TRANSFER=1 .venv/bin/hf download mlx-community/SongGeneration-v2-large-fp32 --local-dir ./models/SongGeneration-v2-large-fp32

.venv/bin/python -m songgeneration_mlx.cli \
  --model ./models/SongGeneration-v2-large-fp32 \
  --lyrics '[verse] hello from mlx [chorus] sing it again' \
  --description 'Pop, female vocal, bright production, [Musicality-medium].' \
  --duration 2 \
  --top-k 50 \
  --temperature 0.9 \
  --output tokens_2s.npz

Decode Tokens

The MLX runtime writes discrete song tokens. To create FLAC audio, use the official decoder bridge in ailuntx/SongGeneration-MLX. The bridge needs the official SongGeneration runtime/ assets, but it does not need the original SongGeneration LM model.pt when --mlx-model is used.

python -m venv .venv-decoder
.venv-decoder/bin/pip install -U pip
.venv-decoder/bin/pip install \
  -r third_party/SongGeneration/requirements.txt \
  -r third_party/SongGeneration/requirements_nodeps.txt \
  soundfile

HF_HUB_ENABLE_HF_TRANSFER=1 .venv/bin/hf download tencent/SongGeneration \
  --include "runtime/*" \
  --local-dir ./third_party/SongGeneration

PYTORCH_ENABLE_MPS_FALLBACK=1 SONGGEN_DEVICE=mps \
.venv-decoder/bin/python scripts/decode_tokens_official.py \
  --mlx-model ./models/SongGeneration-v2-large-fp32 \
  --tokens ./tokens_2s.npz \
  --output ./output_2s.flac \
  --device mps

Variants

Variant	Disk	Notes
SongGeneration-v2-medium-fp32	10G	high-precision medium baseline
SongGeneration-v2-medium-bf16	5.2G	recommended medium bf16 quality baseline
SongGeneration-v2-medium-8bit	2.8G	smaller medium checkpoint
SongGeneration-v2-medium-4bit	1.5G	smallest medium checkpoint
SongGeneration-v2-large-fp32	19G	high-precision large baseline
SongGeneration-v2-large-bf16	9.5G	large bf16 quality baseline
SongGeneration-v2-large-8bit	5.0G	smaller large checkpoint
SongGeneration-v2-large-4bit	2.7G	smallest large checkpoint
SongGeneration-v2-fast-*	pending	upstream fast weights were not publicly available when checked on 2026-05-31

Layout

SongGeneration-v2-large-fp32/
|-- model-00001-of-000xx.safetensors
|-- model.safetensors.index.json
|-- config.json
|-- mlx_manifest.json
|-- config.official.yaml
|-- vocab.yaml
`-- qwen2_tokenizer/

Validation

Local Apple Silicon validation was run on the medium bf16 path:

Test	Result
12s MLX token generation	550 pattern steps, about 1 minute wall time
12s official decoder bridge	73.27s wall time
12s FLAC	48kHz stereo, 12.000s, RMS about 0.163

The official recent-token repetition penalty is implemented in the MLX runtime. Without it, 12s generations collapse into repeated tokens and decode close to silence.

License

License follows the upstream SongGeneration release. Check the official model card and repository for the authoritative model license.

Citation

@misc{songgeneration-mlx,
  title  = {SongGeneration-MLX: Apple MLX port of SongGeneration},
  author = {ailuntx},
  year   = {2026},
  url    = {https://github.com/ailuntx/SongGeneration-MLX},
}

@article{lei2025levo,
  title   = {LeVo: High-Quality Song Generation with Multi-Preference Alignment},
  author  = {Lei, Shun and Xu, Yaoxun and Lin, Zhiwei and Zhang, Huaicheng and Tan, Wei and Chen, Hangting and Yu, Jianwei and Zhang, Yixuan and Yang, Chenyu and Zhu, Haina and Wang, Shuai and Wu, Zhiyong and Yu, Dong},
  journal = {arXiv preprint arXiv:2506.07520},
  year    = {2025},
}