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@@ -54,7 +54,7 @@ All pre-training is done on the [Cultura-X](https://huggingface.co/datasets/uonl
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  We extended the vocabulary of the base llama model from 32,000 tokens to 57,000 tokens by adding up to 25,000 non-overlapping tokens from the new language.
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  ## Evaluation
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-
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  ## Uses
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  <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
@@ -98,12 +98,12 @@ We would like to give a special thanks to the following groups:
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  ## Cite SambaLingo
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  ```
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- @software{sambalingo,
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- title = {{SambaLingo: Open Source Language Experts}},
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- author = {SambaNova Systems},
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- url = {https://huggingface.co/sambanovasystems/SambaLingo-Thai-Base-70B}
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- month = {2},
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- year = {2024},
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- version = {1.0},
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  }
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  ```
 
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  We extended the vocabulary of the base llama model from 32,000 tokens to 57,000 tokens by adding up to 25,000 non-overlapping tokens from the new language.
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  ## Evaluation
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+ For evaluation results see our paper: [SambaLingo: Teaching Large Language Models New Languages](https://arxiv.org/abs/2404.05829)
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  ## Uses
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  <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 
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  ## Cite SambaLingo
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  ```
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+ @misc{csaki2024sambalingo,
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+ title={SambaLingo: Teaching Large Language Models New Languages},
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+ author={Zoltan Csaki and Bo Li and Jonathan Li and Qiantong Xu and Pian Pawakapan and Leon Zhang and Yun Du and Hengyu Zhao and Changran Hu and Urmish Thakker},
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+ year={2024},
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+ eprint={2404.05829},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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  }
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  ```