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README.md
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# *SeaLLMs-v3* - Large Language Models for Southeast Asia
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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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<a href="https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B
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<a href="https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat" target="_blank" rel="noopener"> 🤗 DEMO</a>
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<a href="https://github.com/DAMO-NLP-SG/SeaLLMs" target="_blank" rel="noopener">Github</a>
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<a href="https://arxiv.org/pdf/2407.19672" target="_blank" rel="noopener">Technical Report</a>
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</p>
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SeaLLMs is tailored for handling a wide range of languages spoken in the SEA region, including English, Chinese, Indonesian, Vietnamese, Thai, Tagalog, Malay, Burmese, Khmer, Lao, Tamil, and Javanese.
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This page introduces the **SeaLLMs-v3-1.5B** model, which can be easily fine-tuned for your specific downstream tasks, especially in SEA languages.
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You may also refer to the [SeaLLMs-v3-7B](https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B) model for enhanced performance, although it requires higher computational resources.
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## Evaluation
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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
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year = {2024},
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}
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```
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# *SeaLLMs-v3* - Large Language Models for Southeast Asia
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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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<a href="https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B" target="_blank" rel="noopener">Model</a>
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<a href="https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat" target="_blank" rel="noopener"> 🤗 DEMO</a>
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<a href="https://github.com/DAMO-NLP-SG/SeaLLMs" target="_blank" rel="noopener">Github</a>
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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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SeaLLMs is tailored for handling a wide range of languages spoken in the SEA region, including English, Chinese, Indonesian, Vietnamese, Thai, Tagalog, Malay, Burmese, Khmer, Lao, Tamil, and Javanese.
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This page introduces the **SeaLLMs-v3-1.5B** model, which can be easily fine-tuned for your specific downstream tasks, especially in SEA languages.
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Note that this is a base model, if you are looking for a model that can be directly applicable to your downstream applications, you may want to check the chat version model: **[SeaLLMs-v3-1.5B-Chat](https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B-Chat)**.
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## Evaluation
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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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