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@@ -29,6 +29,7 @@ SambaLingo-Bulgarian-Base is a pretrained Bi-lingual Bulgarian and English model
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  - **Language(s):** Bulgarian, English
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  - **Finetuned from model:** [Llama 2](https://huggingface.co/meta-llama/Llama-2-7b-hf)
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  - **Try the chat version of this model**: [SambaLingo-chat-space](https://huggingface.co/spaces/sambanovasystems/SambaLingo-chat-space).
 
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  - **Blog Post**: [sambalingo-open-source-language-experts](https://sambanova.ai/blog/sambalingo-open-source-language-experts)
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  ## Getting Started
@@ -54,16 +55,7 @@ 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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- || SambaLingo-Bulgarian-Base | mGPT-1.3B-bulgarian | bloom-7b1 | xglm-7.5B | mGPT-13B |
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- |-------------------------------|---------------------|-----------|-----------|----------|--------|
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- | Perplexity (Lower Is Better) | **1.416** | 1.755 | 2.051 | 1.502 | 1.889 |
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- | FLORES en->bg (8 shot, CHRF) | **0.558** | 0.143 | 0.211 | 0.484 | 0.136 |
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- | FLORES bg->en (8 shot, CHRF) | **0.621** | 0.227 | 0.182 | 0.347 | 0.145 |
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- | FLORES en->bg (8 shot, BLEU) | **0.275** | 0.006 | 0.006 | 0.093 | 0.005 |
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- | FLORES bg->en (8 shot, BLEU) | **0.340** | 0.024 | 0.018 | 0.210 | 0.006 |
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- | Belebele (3 shot) | **48.56%** | 21.22% | 24.22% | 25.89% | 25.33% |
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- | SIB-200 (3 shot) | 61.27% | 42.65% | 37.25% | **64.71%** | 41.67% |
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- | XNLI (0 shot) | 42.83% | 33.75% | 39.38% | 44.91% | **45.83%** |
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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. -->
@@ -107,12 +99,12 @@ 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 Langauge Experts}},
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- author = {SambaNova Systems},
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- url = {https://huggingface.co/sambanovasystems/SambaLingo-Bulgarian-Base}
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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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  - **Language(s):** Bulgarian, English
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  - **Finetuned from model:** [Llama 2](https://huggingface.co/meta-llama/Llama-2-7b-hf)
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  - **Try the chat version of this model**: [SambaLingo-chat-space](https://huggingface.co/spaces/sambanovasystems/SambaLingo-chat-space).
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+ - **Paper:** [SambaLingo: Teaching Large Language Models New Languages](https://arxiv.org/abs/2404.05829)
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  - **Blog Post**: [sambalingo-open-source-language-experts](https://sambanova.ai/blog/sambalingo-open-source-language-experts)
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  ## Getting Started
 
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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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  ```