SeaLLMs - Large Language Models for Southeast Asia
Welcome to the SeaLLMs project - a family of large language models tailored for Southeast Asian languages including English, Chinese, Indonesian, Vietnamese, Thai, Tagalog, Malay, Burmese, Khmer, Lao, Tamil, and Javanese.
Unlike models primarily designed for high-resource languages like English, our mission is to democratize access to advanced language technologies for regional and potentially under-represented languages.
We aim to develop models capable of handling a variety of tasks in SEA languages, while prioritizing safety and trustworthiness within the regional context.
SeaLLMs Models
- [🔥NEW🔥] SeaLLMs-v3 is here! Try the model from the demo!
- SeaLLMs/SeaLLMs-v3-7B-Chat: Latest 7B chat version of SeaLLMs-v3, achieving SOTA performance of diverse tasks while specifically enhanced to be more trustworthy, exhibiting reduced hallucination and providing safe response.
- SeaLLMs/SeaLLMs-v3-1.5B-Chat: Latest 1.5B chat version of SeaLLMs-v3, specifically fine-tuned to follow human instructions effectively. It is designed to be resource-efficient, making it suitable for use even on your laptop.
- SeaLLMs/SeaLLMs-v3-1.5B and SeaLLMs/SeaLLMs-v3-7B: two base version models for you further conducting customized fine-tuning with your own data.
- SeaLLMs/SeaLLM-7B-v2.5: New SeaLLM-7B model with 7B-SOTA on many world knowledge and reasoning tasks in SEA languages.
- SeaLLMs/SeaLLM-7B-v2: The most significant upgrade since SeaLLM-13B with half the size, outperforming performance across diverse multilingual tasks, from world knowledge, math reasoning, instruction following, etc.
- SeaLLMs/SeaLLM-13B-Chat: A chatbot optimized for Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹ðŸ‡, Malay 🇲🇾, Khmer🇰ðŸ‡, Lao🇱🇦, Tagalog🇵🇠and Burmese🇲🇲.
Multilingual Evaluations for SEA
- SeaExam: assesses model performance using human-exam type benchmarks, reflecting the model's world knowledge and reasoning abilities.
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