Text Generation
Transformers
PyTorch
Safetensors
Japanese
English
qwen
custom_code
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@@ -120,11 +120,11 @@ We compared the `Qwen` tokenizer (as used in `nekomata`) and the `llama-2` token
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  ---
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  # How to cite
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- ~~~
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  @misc{rinna-nekomata-14b,
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  title = {rinna/nekomata-14b},
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- author={Zhao, Tianyu and Kaga, Akio and Sawada, Kei}
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- url = {https://huggingface.co/rinna/nekomata-14b},
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  }
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  @inproceedings{sawada2024release,
@@ -133,9 +133,11 @@ We compared the `Qwen` tokenizer (as used in `nekomata`) and the `llama-2` token
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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-nekomata-14b,
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  title = {rinna/nekomata-14b},
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+ author = {Zhao, Tianyu and Kaga, Akio and Sawada, Kei},
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+ url = {https://huggingface.co/rinna/nekomata-14b}
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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