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README.md
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@@ -39,8 +39,10 @@ We introduce SeaLLMs - a family of language models optimized for Southeast Asian
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SeaLLM-13b models exhibit superior performance across a wide spectrum of linguistic tasks and assistant-style instruction-following capabilities relative to comparable open-source models. Moreover, they outperform **ChatGPT-3.5** in non-Latin languages such as Thai, Khmer, Lao, and Burmese.
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- DEMO: [SeaLLMs/SeaLLM-Chat-13b](https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat-13b) DEMO allows **batch-inference** for evaluation purposes.
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- Model weights: To be released.
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- Technical report: [Arxiv: SeaLLMs - Large Language Models for Southeast Asia](https://arxiv.org/pdf/2312.00738.pdf).
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<blockquote style="color:red">
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<p><strong style="color: red">Terms of Use and License</strong>:
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SeaLLM-13b models exhibit superior performance across a wide spectrum of linguistic tasks and assistant-style instruction-following capabilities relative to comparable open-source models. Moreover, they outperform **ChatGPT-3.5** in non-Latin languages such as Thai, Khmer, Lao, and Burmese.
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- DEMO: [SeaLLMs/SeaLLM-Chat-13b](https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat-13b) DEMO allows **batch-inference** for evaluation purposes.
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- Technical report: [Arxiv: SeaLLMs - Large Language Models for Southeast Asia](https://arxiv.org/pdf/2312.00738.pdf).
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- Model weights:
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- [SeaLLM-7B-chat](https://huggingface.co/SeaLLMs/SeaLLM-7B-chat): Lower capability than [SeaLLM-13B-Chat](https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat-13b) but much faster and memory-efficient.
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<blockquote style="color:red">
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<p><strong style="color: red">Terms of Use and License</strong>:
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