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# Kyara: Knowledge Yielding Adaptive Retrieval Augmentation for LLM Fine-tuning

[![DOI](https://zenodo.org/badge/844304447.svg)](https://zenodo.org/badge/latestdoi/844304447)

<p align="left">
πŸ€— <a href="https://huggingface.co/zake7749/gemma-2-2b-it-chinese-kyara-dpo">Hugging Face</a>&nbsp; | πŸš€<a href="https://github.com/zake7749/kyara">Github</a>&nbsp; | &nbsp;πŸ“‘ <a href="#">Paper</a>&nbsp; | &nbsp;πŸ“– <a href="https://github.com/zake7749/kyara/blob/main/document/README_EN.md">English</a>&nbsp; | &nbsp;πŸ“– <a href="https://github.com/zake7749/kyara">Chinese</a>&nbsp; | &nbsp;πŸ’» <a href="https://www.kaggle.com/code/zake7749/kyara-a-compact-yet-powerful-chinese-llm">Kaggle Notebook</a>
</p>
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```

It is recommended to exercise caution when using language models.

## Citation

```bibtex
@software{Yang_Kyara_2024,
author = {Yang, Kai-Chou},
doi = {10.5281/zenodo.14001626},
month = oct,
title = {{Kyara}},
url = {https://github.com/zake7749/Kyara},
version = {1.0.0},
year = {2024}
}
```

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