Text Generation
Transformers
Japanese
English
llama
gptq
text-generation-inference
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@@ -88,11 +88,11 @@ The model uses the original llama-2 tokenizer.
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  ---
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  # How to cite
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- ~~~
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  @misc{rinna-youri-7b-instruction-gptq,
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  title = {rinna/youri-7b-instruction-gptq},
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- author={Wakatsuki, Toshiaki and Zhao, Tianyu and Sawada, Kei}
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- url = {https://huggingface.co/rinna/youri-7b-instruction-gptq},
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  }
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  @inproceedings{sawada2024release,
@@ -101,9 +101,11 @@ The model uses the original llama-2 tokenizer.
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  booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
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  month = {5},
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  year = {2024},
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- url = {https://arxiv.org/abs/2404.01657},
 
 
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  }
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- ~~~
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  ---
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  # License
 
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  ---
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  # How to cite
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+ ```bibtex
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  @misc{rinna-youri-7b-instruction-gptq,
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  title = {rinna/youri-7b-instruction-gptq},
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+ author = {Wakatsuki, Toshiaki and Zhao, Tianyu and Sawada, Kei},
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+ url = {https://huggingface.co/rinna/youri-7b-instruction-gptq}
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  }
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  @inproceedings{sawada2024release,
 
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  booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
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  month = {5},
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  year = {2024},
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+ pages = {13898--13905},
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+ url = {https://aclanthology.org/2024.lrec-main.1213},
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+ note = {\url{https://arxiv.org/abs/2404.01657}}
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  }
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+ ```
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  ---
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  # License