Text Generation
Transformers
PyTorch
Chinese
llama
text-generation-inference
Inference Endpoints
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@@ -89,23 +89,12 @@ The following hyperparameters were used during training:
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  If you find Taiwan LLM is useful in your work, please cite it with:
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  ```
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- @inproceedings{lin-chen-2023-llm,
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- title = "{LLM}-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models",
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- author = "Lin, Yen-Ting and Chen, Yun-Nung",
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- booktitle = "Proceedings of the 5th Workshop on NLP for Conversational AI (NLP4ConvAI 2023)",
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- month = jul,
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- year = "2023",
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- address = "Toronto, Canada",
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- publisher = "Association for Computational Linguistics",
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- url = "https://aclanthology.org/2023.nlp4convai-1.5",
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- pages = "47--58"
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- }
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-
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- @misc{taiwanllama,
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- author={Lin, Yen-Ting and Chen, Yun-Nung},
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- title={Language Models for Taiwanese Culture},
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- year={2023},
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- url={https://github.com/MiuLab/Taiwan-LLaMa},
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- note={Code and models available at https://github.com/MiuLab/Taiwan-LLaMa},
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  }
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  ```
 
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  If you find Taiwan LLM is useful in your work, please cite it with:
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  ```
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+ @misc{lin2023taiwan,
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+ title={Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned Language Model},
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+ author={Yen-Ting Lin and Yun-Nung Chen},
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+ year={2023},
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+ eprint={2311.17487},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
 
 
 
 
 
 
 
 
 
 
 
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  }
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  ```