AI models
Wu Dao - Wen Yuan
Training compute
6.5×10²⁰ FLOP
Parameters
2.6B
Published
Jan 11, 2021
Wu Dao - Wen Yuan is an AI model developed by Beijing Academy of Artificial Intelligence / BAAI (China), first published in January 2021. It works in the language domain, on tasks such as language modeling/generation.
Training it took an estimated 6.5×10²⁰ FLOP of compute (estimation method: hardware). The model has 2,600,000,000 parameters. Training ran on 64 NVIDIA V100 for about 336 hours.
Access: API access. Its weights are not openly released. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Beijing Academy of Artificial Intelligence / BAAI
- Country of organization
- China
- Domain
- Language
- Task
- Language modeling/generation
- Training compute
- 6.5×10²⁰ FLOP
- Compute estimation method
- Hardware
- Parameters
- 2,600,000,000
- Training hardware
- NVIDIA V100
- Chips used
- 64
- Training time
- 336 h
- Training power draw
- 39.0 kW
- Model accessibility
- API access
- Open weights
- No
- Epoch confidence
- Confident
More from Beijing Academy of Artificial Intelligence / BAAI
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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