Sailor 7B
Open 7B model continually pre-trained from Qwen1.5 for Southeast Asian languages.
About
Sailor 7B is the 7-billion-parameter flagship of the Sailor family from Sea AI Lab in Singapore, introduced in April 2024. The family spans 0.5B to 7B parameters and is continually pre-trained from Qwen1.5 on 200B to 400B tokens covering English, Chinese, Vietnamese, Thai, Indonesian, Malay, and Lao.
Training uses BPE dropout for robustness, aggressive data cleaning, and small proxy models to tune the data mixture. Benchmarks show strong commonsense reasoning, QA, reading comprehension, and examination performance across the region's languages. Release timing below is era-level; the Sailor technical report is canonical.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 110; Trending score 70/100 from researcher assessment.