# Sources

## MuQ and MuQ-MuLan

- Paper: https://arxiv.org/abs/2501.01108
- Source: https://github.com/tencent-ailab/MuQ
- Pinned source revision:
  `28847ea50cd31ac4b8b6a7dacc051ad7d1c7606a`
- Source license: MIT
- Checkpoint: https://huggingface.co/OpenMuQ/MuQ-MuLan-large
- Pinned checkpoint revision:
  `2e01c796b71dca71b45251384c04cd7b237c9020`
- Checkpoint license: CC BY-NC 4.0

MuQ-MuLan is a joint music-text embedding model trained through contrastive
learning. Its audio and text embeddings are L2-normalized, so their dot
product is cosine similarity. This deployment accepts English descriptions.
For audio longer than 10 seconds, the official inference code embeds
non-overlapping 10-second windows and averages their representations.

## Encoders

- Audio encoder: https://huggingface.co/OpenMuQ/MuQ-large-msd-iter
- Pinned audio revision:
  `0562a57814f6f8bbd9fdea0a25921a2fce1a841a`
- Audio model license: CC BY-NC 4.0
- Text encoder: https://huggingface.co/FacebookAI/xlm-roberta-base
- Pinned text revision:
  `e73636d4f797dec63c3081bb6ed5c7b0bb3f2089`
- Text model license: MIT