Bookworm-10.7B-v0.4-DPO
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Our Dedicated Team (Alphabetical Order)
Research | Engineering | Product Management | UX Design |
---|---|---|---|
Myeongho Jeong | Geon Kim | Bokyung Huh | Eunsue Choi |
Seungduk Kim | Rifqi Alfi | ||
Seungtaek Choi | Sanghoon Han | ||
Suhyun Kang |
About the Model
This model is a fine-tuned version of yanolja/KoSOLAR-10.7B-v0.2, which is a Korean vocabulary-extended version of upstage/SOLAR-10.7B-v1.0. Specifically, we employed Direct Preference Optimization (DPO) based on LLaMA-Factory.
Training Data
- Korean-translated version of Open-Orca/SlimOrca-Dedup
- Korean-translated version of argilla/ultrafeedback-binarized-preferences-cleaned
- No other dataset was used
Citation
@misc{cui2023ultrafeedback,
title={UltraFeedback: Boosting Language Models with High-quality Feedback},
author={Ganqu Cui and Lifan Yuan and Ning Ding and Guanming Yao and Wei Zhu and Yuan Ni and Guotong Xie and Zhiyuan Liu and Maosong Sun},
year={2023},
eprint={2310.01377},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
@misc{SlimOrcaDedup,
title = {SlimOrca Dedup: A Deduplicated Subset of SlimOrca},
author = {Wing Lian and Guan Wang and Bleys Goodson and Eugene Pentland and Austin Cook and Chanvichet Vong and "Teknium" and Nathan Hoos},
year = {2023},
publisher = {HuggingFace},
url = {https://huggingface.co/datasets/Open-Orca/SlimOrca-Dedup/}
}
@misc{mukherjee2023orca,
title={Orca: Progressive Learning from Complex Explanation Traces of GPT-4},
author={Subhabrata Mukherjee and Arindam Mitra and Ganesh Jawahar and Sahaj Agarwal and Hamid Palangi and Ahmed Awadallah},
year={2023},
eprint={2306.02707},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
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