AI models
Wu Dao - Wen Lan
Training compute
7.2×10²¹ FLOP
Parameters
1B
Published
Mar 1, 2021
Wu Dao - Wen Lan is an AI model developed by Beijing Academy of Artificial Intelligence / BAAI (China), first published in March 2021. It works in the multimodal, vision and language domain, on tasks such as image captioning.
Training it took an estimated 7.2×10²¹ FLOP of compute (estimation method: hardware). The model has 1,000,000,000 parameters. Training ran on 128 NVIDIA A100 for about 168 hours.
Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Beijing Academy of Artificial Intelligence / BAAI
- Country of organization
- China
- Domain
- Multimodal, Vision, Language
- Task
- Image captioning
- Training compute
- 7.2×10²¹ FLOP
- Compute estimation method
- Hardware
- Parameters
- 1,000,000,000
- Training hardware
- NVIDIA A100
- Chips used
- 128
- Training time
- 168 h
- Training power draw
- 103.8 kW
- 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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