https://sea-sailor.github.io/blog/sailor2/ and https://huggingface.co/papers/2502.12982.

\n

Now you can use the following command to run Sailor2 chat models locally:

\n

ollama run sailor2:1b\nollama run sailor2\nollama run sailor2:20b\n

\n

Welcome to try Sailor2 demo in https://sailor.insea.io/ (supports 20B/8B/1B) or https://huggingface.co/spaces/sail/Sailor2-20B-Chat (supports 20B)

\n

---

\n

\n

\n 🔱 Sailor2 Models\n

\n \n

\n
• GitHub: All you need to know about using or fine-tuning Sailor2.
\n
• Sailor2-1B: 1B base model continually pre-trained on 500B tokens from Qwen2.5-0.5B with model expansion.
\n
• Sailor2-8B: 8B base model continually pre-trained on 500B tokens from Qwen2.5-7B with model expansion.
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• Sailor2-20B: 20B base model continually pre-trained on 500B tokens from Qwen2.5-14B with model expansion.
\n
• Sailor2-1B-Chat: 1B chat model after post-training on the 1B base model.
\n
• Sailor2-8B-Chat: 8B chat model after post-training on the 8B base model.
\n
• Sailor2-20B-Chat: 20B chat model after post-training on the 20B base model.
\n

\n

\n\n

---

\n

\n

\n 📚 Sailor2 Pre-training Dataset \n

\n\n

\n
• sailor2-pretrain-data-stage1: A comprehensive dataset comprising 450B tokens of high-quality data for continual pre-training, including English (from ProX), Chinese (from Chinese-Fineweb-Edu), Vietnamese, Indonesian, Thai, Malay, Burmese, Tagalog, and Khmer, organized by chunks
\n
• sailor2-pretrain-data-stage2: An additional 60B tokens of exceptionally high-quality data for model annealing, including the above languages and Cebuano, Lao, Javanese, Waray, Sundanese, and Ilocano, organized by chunks
\n
• community-dataset: Clean South-East Asia datasets sourced from the whole community members, including Indonesian, Thai, and Vietnamese content in fields like news, finance, law, books, poetry, social media, and TED Talks, organized by source
\n
• sea-commoncrawl: Clean South-East Asia related web corpora from 89 CommonCrawl snapshots, organized by languages
\n
• sea-internet: Clean multilingual data from Internet Archive, organized by languages, cleaned and deduplicated from the awesome dataset provided by A New Massive Multilingual Dataset for High-Performance Language Technologies, organized by languages
\n
• sea-pdf-text: Clean pdf data, the PDF links are sourced from partner information, organized by languages
\n
• sea-synthetic: Translation dataset from Cosmopedia across multiple languages, which is used to retreive the high-quality tokens for stage 2, organized by languages
\n
• sea-commoncrawl-high-quality: the high-quality CommonCrawl subset, which is used in stage 2 of Sailor2 pre-training, organized by languages
\n

\n

\n\n

---

\n

\n

\n 📑 Sailor2 Post-training Dataset \n

\n\n

\n
• sailor2-sft-stage1: 4M Medium-Quality Instruction tuning dataset, supports English, Chinese and 16 SEA languages.
\n
• sailor2-sft-stage2: 400K High-Quality Instruction tuning dataset, supports English, Chinese and 16 SEA languages.
\n
• sea-ultrafeedback: Preference optimization dataset, supports English, Chinese and 17 SEA languages.
\n

\n

\n\n

---

\n

\n

\n 🧐 Sailor2 Evaluation Benchmark \n

\n\n

\n
• sea-wildbench: Chat model evaluation, supports 8 SEA languages.
\n

\n

\n\n

---

\n

\n

\n 💻 Sailor2 Codebase \n

\n\n

\n
• SailCraft Code: Data cleaning
\n
• Regmix Code: Data mixture
\n
• SailCompass Code: Few-shot evaluation for Base Model
\n
• SEA-WildBench Code: GPT-4 evaluation for Chat Model
\n
• Megatron Code: Pre-training
\n
• OAT Code: Post-training
\n

\n

\n\n\n\n

---

\n

\n

\n 🔥 Sailor2 Citation \n

\n\n

If you find Sailor2 useful, please cite our work as follows:

\n

@article{sailor2report,\ntitle  = {Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLM},\nauthor = {Longxu Dou and Qian Liu and Fan Zhou and Changyu Chen and Zili Wang and Ziqi Jin and Zichen Liu and Tongyao Zhu and Cunxiao Du and Penghui Yang and Haonan Wang and Jiaheng Liu and Yongchi Zhao and Xiachong Feng and Xin Mao and Man Tsung Yeung and Kunat Pipatanakul and Fajri Koto and Min Si Thu and Hynek Kydl{\\'\\i}{\\v{c}}ek and Zeyi Liu and Qunshu Lin and Sittipong Sripaisarnmongkol and Kridtaphad Sae-Khow and Nirattisai Thongchim and Taechawat Konkaew and Narong Borijindargoon and Anh Dao and Matichon Maneegard and Phakphum Artkaew and Zheng-Xin Yong and Quan Nguyen and Wannaphong Phatthiyaphaibun and Hoang H. Tran and Mike Zhang and Shiqi Chen and Tianyu Pang and Chao Du and Xinyi Wan and Wei Lu and Min Lin},\njournal={arXiv preprint arXiv:2502.12982},\nyear   = {2025}\n}\n

\n

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