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## Citation and Related Information
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### BibTeX entry
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If you find our work useful, please consider citing:
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```bibtex
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@misc{polyglot,
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title = {{Plyglot-Ko: Open-Source Korean Autoregressive Language Model}},
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author = {Ko, Hyunwoong and Yang, Kichang and Ryu, Minho and Kim, Taekyun and Yang, Seungmu and Hyun, jiwung and Park, Sungho},
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url = {https://www.github.com/eleutherai/
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month = {9},
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year = {2022},
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}
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```
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###
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This project would not have been possible without compute generously provided by [Stability.ai](https://stability.ai), thanks them for providing a large amount of GPU resources. And thanks also go to [TUNiB](https://tunib.ai) for providing a large-scale Korean dataset for this work.
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## Citation and Related Information
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### BibTeX entry
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If you find our work useful, please consider citing:
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```bibtex
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@misc{polyglot-ko,
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title = {{Plyglot-Ko: Open-Source Korean Autoregressive Language Model}},
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author = {Ko, Hyunwoong and Yang, Kichang and Ryu, Minho and Kim, Taekyun and Yang, Seungmu and Hyun, jiwung and Park, Sungho},
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url = {https://www.github.com/eleutherai/polyglot},
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month = {9},
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year = {2022},
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}
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```
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### Licensing
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All our models are licensed under the terms of the Apache License 2.0.
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```
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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```
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However, the model has the potential to generate unpredictable text as mentioned. Therefore, we are not responsible for any damages resulting from the use of the model.
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### Acknowledgement
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This project would not have been possible without compute generously provided by [Stability.ai](https://stability.ai), thanks them for providing a large amount of GPU resources. And thanks also go to [TUNiB](https://tunib.ai) for providing a large-scale Korean dataset for this work.
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