Post
2346
Introducing Sailor-14B Model and Sailor2 Project 🚢
We're thrilled to announce the release of the Sailor-14B models, including the Base and the Chat versions!
✅Built upon the Qwen1.5-14B model, the Base version follows a similar procedure as our Sailor-7B model.
✅The Chat version is optimized using DPO on our in-house human preference dataset, yielding a better experience than our previous Chat models.
🏠Home: https://sailorllm.github.io
🤗Model: sail/Sailor-14B-Chat
💻Demo: sail/Sailor-14B-Chat
We're also excited to introduce the Sailor2 project, ✨ an open collaboration opportunity for the entire community! ✨
🌐 The Sailor2 project aims to build a LLM with ~30B parameters, optimized for multiple South-East Asian languages, including Cebuano, Indonesian, Khmer, Lao, Minangkabau, Malay, Burmese, Sundanese, Javanese, Thai, and Vietnamese.
🎯The model will undergo continual pre-training from a base model proficient in both Chinese and English using nearly 800B SEA tokens, with an expected performance comparable to the most advanced business models for the above SEA languages.
🤝 Contribute your data, expertise, and ideas to shape the future of open-source LLMs for the SEA region.
🌍 Everyone passionate about the SEA region is welcome aboard! Join the party and get involved by scanning the QR code! 🔍
Let's sail together and enjoy the journey!⚓
We're thrilled to announce the release of the Sailor-14B models, including the Base and the Chat versions!
✅Built upon the Qwen1.5-14B model, the Base version follows a similar procedure as our Sailor-7B model.
✅The Chat version is optimized using DPO on our in-house human preference dataset, yielding a better experience than our previous Chat models.
🏠Home: https://sailorllm.github.io
🤗Model: sail/Sailor-14B-Chat
💻Demo: sail/Sailor-14B-Chat
We're also excited to introduce the Sailor2 project, ✨ an open collaboration opportunity for the entire community! ✨
🌐 The Sailor2 project aims to build a LLM with ~30B parameters, optimized for multiple South-East Asian languages, including Cebuano, Indonesian, Khmer, Lao, Minangkabau, Malay, Burmese, Sundanese, Javanese, Thai, and Vietnamese.
🎯The model will undergo continual pre-training from a base model proficient in both Chinese and English using nearly 800B SEA tokens, with an expected performance comparable to the most advanced business models for the above SEA languages.
🤝 Contribute your data, expertise, and ideas to shape the future of open-source LLMs for the SEA region.
🌍 Everyone passionate about the SEA region is welcome aboard! Join the party and get involved by scanning the QR code! 🔍
Let's sail together and enjoy the journey!⚓
