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dddsaty/SOLAR_Merge_Adapter_DPO_Orca
SOLAR_Merge_Adapter_DPO_Orca is a text generation model from dddsaty. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
Explanation - Merge two base models using mergekit (slerp) - Apply DPO to the merged model, just an adapter part is saved - merge the adpater and the merged model
Downloads · 30 days
65
1% of all-time downloads
All-time downloads
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Parameters
10.7B
21.5 GB on disk
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.safetensors21.5 GB · 100%
From the Hugging Face model README
Explanation
Base Model
Training Corpus
Score
| Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
|---|---|---|---|---|---|---|
| 65.96 | 63.91 | 84.58 | 63.18 | 51.49 | 82 | 50.57 |
Log
LICENSE
Following the upstage/SOLAR-10.7B-Instruct-v1.0 License
Citation
@misc {solar_ko_junbum_2023,
author = { {L. Junbum} },
title = { Solar-Ko-10.7b },
year = 2024,
url = { https://huggingface.co/beomi/SOLAR-KO-10.7B },
publisher = { Hugging Face }
}
@misc{kim2023solar,
title={SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling},
author={Dahyun Kim and Chanjun Park and Sanghoon Kim and Wonsung Lee and Wonho Song and Yunsu Kim and Hyeonwoo Kim and Yungi Kim and Hyeonju Lee and Jihoo Kim and Changbae Ahn and Seonghoon Yang and Sukyung Lee and Hyunbyung Park and Gyoungjin Gim and Mikyoung Cha and Hwalsuk Lee and Sunghun Kim},
year={2023},
eprint={2312.15166},
archivePrefix={arXiv},
primaryClass={cs.CL}
}