# From Generality to Mastery: Composer-Style Conditioned Music Generation
Trained model weights and training datasets for the paper:
* Mingyang Yao and Ke Chen
"[From Generality to Mastery: Composer-Style Symbolic Music Generation via Large-Scale Pre-training]()"
_Conference of AI Music Creativity_, 2025
**Note:** For details about usage, please refer to the model implementation [here](https://github.com/AndyWeasley2004/Generality-to-Mastery).
## Model Architecture
### Generality Stage
- Model backbone: 12-layer Transformer with relative positional encoding
- Num trainable params: ~39.6M
### Mastery Stage
- Model backbone: 12-layer Transformer with relative positional encoding with style adapter modules after every two transformer layers
- Num trainable params: ~46M
### Citation
If you find this project useful, please cite our paper:
```
@inproceedings{generalitymastery2025,
author = {Mingyang Yao and Ke Chen},
title = {From Generality to Mastery: Composer-S…
