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README.md
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@@ -14,7 +14,7 @@ Welcome to the SeaLLMs project - a family of large language models tailored for
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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,
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while prioritizing safety and trustworthiness within the regional context.
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## ☄️ What's New?
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After the release of SeaLLMs-v3, we've focused on extending along two directions: language coverage and multimodal support. We are happy to share:
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- [Babel](https://babel-llm.github.io/babel-llm/): a multilingual LLM that covers the top 25 languages by number of speakers, supports over 90% of the global population
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## SeaLLMs Models
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- SeaLLMs-v3: The latest version of the SeaLLMs family, achieving SOTA performance of diverse tasks while specifically enhanced to be more trustworthy, available in multiple variants: [7B-Chat](https://huggingface.co/SeaLLMs/SeaLLM3-7B-Chat), [1.5B-Chat](https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B-Chat), [1.5B-base](https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B) and [7B-base](https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B).
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- [SeaLLMs/SeaLLM-7B-v2.5](https://huggingface.co/SeaLLMs/SeaLLM-7B-v2.5): New SeaLLM-7B model with 7B-SOTA on many world knowledge and reasoning tasks in SEA languages.
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- [SeaLLMs/SeaLLM-7B-v2](https://huggingface.co/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.
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- [SeaLLMs/SeaLLM-13B-Chat](https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat): A chatbot optimized for Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer🇰🇭, Lao🇱🇦, Tagalog🇵🇭 and Burmese🇲🇲.
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## Multilingual Evaluations for SEA
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- [LLM Leaderboard for Southeast Asian Languages](https://huggingface.co/spaces/SeaLLMs/LLM_Leaderboard_for_SEA): evaluates LLMs on Southeast Asian languages through two comprehensive benchmarks - SeaExam and SeaBench
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- SeaExam assesses world knowledge and reasoning capabilities through exam-style questions (for both base and chat version models) [data (public)](https://huggingface.co/datasets/SeaLLMs/SeaExam) [eval code](https://github.com/DAMO-NLP-SG/SeaExam)
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- SeaBench evaluates instruction-following abilities and multi-turn conversational skills (thus only for chat version models). [data (public)](https://huggingface.co/datasets/SeaLLMs/SeaBench) [eval code](https://github.com/DAMO-NLP-SG/SeaBench)
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## Quick Links
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- [Project Page](https://damo-nlp-sg.github.io/DAMO-SeaLLMs/): project page that contains link to everything you need
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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,
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while prioritizing safety and trustworthiness within the regional context.
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## ☄️ What's New (in 2025)?
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After the release of SeaLLMs-v3, we've focused on extending along two directions: language coverage and multimodal support. We are happy to share:
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- [Babel](https://babel-llm.github.io/babel-llm/): a multilingual LLM that covers the top 25 languages by number of speakers, supports over 90% of the global population
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## SeaLLMs Models
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- [SeaLLMs-v3](https://damo-nlp-sg.github.io/DAMO-SeaLLMs/): The latest version of the SeaLLMs family, achieving SOTA performance of diverse tasks while specifically enhanced to be more trustworthy, available in multiple variants: [7B-Chat](https://huggingface.co/SeaLLMs/SeaLLM3-7B-Chat), [1.5B-Chat](https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B-Chat), [1.5B-base](https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B) and [7B-base](https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B).
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- [SeaLLMs/SeaLLM-7B-v2.5](https://huggingface.co/SeaLLMs/SeaLLM-7B-v2.5): New SeaLLM-7B model with 7B-SOTA on many world knowledge and reasoning tasks in SEA languages.
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- [SeaLLMs/SeaLLM-7B-v2](https://huggingface.co/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.
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- [SeaLLMs/SeaLLM-13B-Chat](https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat): A chatbot optimized for Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer🇰🇭, Lao🇱🇦, Tagalog🇵🇭 and Burmese🇲🇲.
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## Multilingual Evaluations for SEA
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- [LLM Leaderboard for Southeast Asian Languages](https://huggingface.co/spaces/SeaLLMs/LLM_Leaderboard_for_SEA): evaluates LLMs on Southeast Asian languages through two comprehensive benchmarks - SeaExam and SeaBench
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- SeaExam assesses world knowledge and reasoning capabilities through exam-style questions (for both base and chat version models) [[data (public)](https://huggingface.co/datasets/SeaLLMs/SeaExam), [eval code](https://github.com/DAMO-NLP-SG/SeaExam)]
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- SeaBench evaluates instruction-following abilities and multi-turn conversational skills (thus only for chat version models). [[data (public)](https://huggingface.co/datasets/SeaLLMs/SeaBench), [eval code](https://github.com/DAMO-NLP-SG/SeaBench)]
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## Quick Links
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- [Project Page](https://damo-nlp-sg.github.io/DAMO-SeaLLMs/): project page that contains link to everything you need
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