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- ๐Ÿค— <a href="https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat-13b">Hugging Face DEMO</a>
 
 
 
 
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  We introduce SeaLLM - 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 ๐Ÿ‡ป๐Ÿ‡ณ, Indonesian ๐Ÿ‡ฎ๐Ÿ‡ฉ and Thai ๐Ÿ‡น๐Ÿ‡ญ texts, along with those in English ๐Ÿ‡ฌ๐Ÿ‡ง and Chinese ๐Ÿ‡จ๐Ÿ‡ณ. 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/SeaLLMs/SeaLLM-Chat-13b-internal"> ๐Ÿค— Tech Memo</a>
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+ &nbsp;&nbsp;
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+ <a href="https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat-13b"> ๐Ÿค— DEMO</a>
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+ &nbsp;&nbsp;
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+ <a href="https://github.com/SeaLLMs/SeaLLMs">Github</a>
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  We introduce SeaLLM - 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 ๐Ÿ‡ป๐Ÿ‡ณ, Indonesian ๐Ÿ‡ฎ๐Ÿ‡ฉ and Thai ๐Ÿ‡น๐Ÿ‡ญ texts, along with those in English ๐Ÿ‡ฌ๐Ÿ‡ง and Chinese ๐Ÿ‡จ๐Ÿ‡ณ. 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.