README.md

---
language: 
- en
tags:
- music-generation
- transformers
- light-model
license: creativeml-openrail-m
widget:
- text: "Generate the music ⭐"
---

# CryChic - Music Generation Model

![Logo](https://raw.githubusercontent.com/data-dream-gdsp/CryChic/refs/heads/main/.github/CRYCHIC_logo.webp)

[Github](https://github.com/data-dream-gdsp/CryChic/) | [Handbook](https://blog.datadream.cc/index.php/archives/6/) | [Website](https://datadream.cc) | [Contact](mailto:[email protected]) | [Twitter Account](https://x.com/Chihaya_Yuka)


## Model Description

CryChic-v2 is a lightweight, transformer-based model designed for generating short, melodic musical pieces.    It is optimized for performance in resource-constrained environments, such as mobile devices or embedded systems.

### How to Use

You can generate music by [prompt](https://blog.datadream.cc/index.php/archives/6/).

### Limitations and Bias

CryChic-v2 operates within certain creative constraints:
- Primarily generates melodies up to 30 seconds.
- Better performance with genres like Classical and Jazz due to training data limitations.

Users are encouraged to be aware of these limitations when evaluating the output.

## Training Procedure

The model was trained on a dataset comprising diverse musical genres but heavily features classical and jazz pieces, which might influence its generative style.

### Training Data

The model was trained using a proprietary dataset of labeled melodies that include a variety of musical styles.

## Ethical Considerations

While CryChic-v2 is designed for creativity, it should be used responsibly.    The model is not capable of replicating specific artists' styles without explicit conditioning and should not be used to generate deceptive or misleading content.

## Citing CryChic-v2

If you use this model in your research, please cite it as follows:

```bibtex
@misc{crychicv2,
title={CryChic-v2: A Lightweight Music Generation Model},
author={Data Dream},
year={2025},
howpublished={Hugging Face},
}
```