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<a href="https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat-13b" target="_blank" rel="noopener"> ๐ค DEMO</a>
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<a href="https://github.com/
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We introduce SeaLLMs - a family of language models optimized for Southeast Asian (SEA) languages. The SeaLLM-base models (to be released) were pre-trained from [Llama-2](https://huggingface.co/meta-llama/Llama-2-13b-hf), on a tailored publicly-available dataset, which comprises mainly Vietnamese ๐ป๐ณ, Indonesian ๐ฎ๐ฉ and Thai ๐น๐ญ texts, along with those in English ๐ฌ๐ง and Chinese ๐จ๐ณ. The pre-training stage involves multiple stages with dynamic data control to preserve the original knowledge base of Llama-2 while gaining new abilities in SEA languages.
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<a href="https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat-13b" target="_blank" rel="noopener"> ๐ค 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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We introduce SeaLLMs - a family of language models optimized for Southeast Asian (SEA) languages. The SeaLLM-base models (to be released) were pre-trained from [Llama-2](https://huggingface.co/meta-llama/Llama-2-13b-hf), on a tailored publicly-available dataset, which comprises mainly Vietnamese ๐ป๐ณ, Indonesian ๐ฎ๐ฉ and Thai ๐น๐ญ texts, along with those in English ๐ฌ๐ง and Chinese ๐จ๐ณ. The pre-training stage involves multiple stages with dynamic data control to preserve the original knowledge base of Llama-2 while gaining new abilities in SEA languages.
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