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  <p align="center">
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  <a href="https://damo-nlp-sg.github.io/SeaLLMs/" target="_blank" rel="noopener">Website</a>
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  &nbsp;&nbsp;
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- <a href="https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B-Chat" target="_blank" rel="noopener"> 🤗 Tech Memo</a>
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  &nbsp;&nbsp;
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  <a href="https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat" target="_blank" rel="noopener"> 🤗 DEMO</a>
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  &nbsp;&nbsp;
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  <a href="https://github.com/DAMO-NLP-SG/SeaLLMs" target="_blank" rel="noopener">Github</a>
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  &nbsp;&nbsp;
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- <a href="https://arxiv.org/pdf/2312.00738.pdf" target="_blank" rel="noopener">Technical Report</a>
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  </p>
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  We introduce **SeaLLMs-v3**, the latest series of the SeaLLMs (Large Language Models for Southeast Asian languages) family. It achieves state-of-the-art performance among models with similar sizes, excelling across a diverse array of tasks such as world knowledge, mathematical reasoning, translation, and instruction following. In the meantime, it was specifically enhanced to be more trustworthy, exhibiting reduced hallucination and providing safe responses, particularly in queries closed related to Southeast Asian culture.
@@ -181,10 +181,11 @@ If you find our project useful, we hope you would kindly star our repo and cite
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  ```
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  @article{damonlp2024seallm3,
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  author = {Wenxuan Zhang*, Hou Pong Chan*, Yiran Zhao*, Mahani Aljunied*,
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- Jianyu Wang, Chaoqun Liu, Yue Deng, Zhiqiang Hu, Weiwen Xu,
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  Yew Ken Chia, Xin Li, Lidong Bing},
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- title = {SeaLLMs - Large Language Models for Southeast Asia},
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  year = {2024},
 
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  }
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  ```
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  Corresponding Author: l.bing@alibaba-inc.com
 
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  <p align="center">
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  <a href="https://damo-nlp-sg.github.io/SeaLLMs/" target="_blank" rel="noopener">Website</a>
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  &nbsp;&nbsp;
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+ <a href="https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B-Chat" target="_blank" rel="noopener">Model</a>
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  &nbsp;&nbsp;
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  <a href="https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat" target="_blank" rel="noopener"> 🤗 DEMO</a>
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  &nbsp;&nbsp;
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  <a href="https://github.com/DAMO-NLP-SG/SeaLLMs" target="_blank" rel="noopener">Github</a>
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  &nbsp;&nbsp;
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+ <a href="https://arxiv.org/pdf/2407.19672" target="_blank" rel="noopener">[NEW] Technical Report</a>
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  </p>
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  We introduce **SeaLLMs-v3**, the latest series of the SeaLLMs (Large Language Models for Southeast Asian languages) family. It achieves state-of-the-art performance among models with similar sizes, excelling across a diverse array of tasks such as world knowledge, mathematical reasoning, translation, and instruction following. In the meantime, it was specifically enhanced to be more trustworthy, exhibiting reduced hallucination and providing safe responses, particularly in queries closed related to Southeast Asian culture.
 
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  ```
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  @article{damonlp2024seallm3,
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  author = {Wenxuan Zhang*, Hou Pong Chan*, Yiran Zhao*, Mahani Aljunied*,
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+ Jianyu Wang*, Chaoqun Liu, Yue Deng, Zhiqiang Hu, Weiwen Xu,
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  Yew Ken Chia, Xin Li, Lidong Bing},
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+ title = {SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages},
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  year = {2024},
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+ url = {https://arxiv.org/abs/2407.19672}
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  }
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  ```
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  Corresponding Author: l.bing@alibaba-inc.com