AI models
Zidong Taichu
Training compute
8×10²⁰ FLOP
Parameters
3.2B
Published
Aug 11, 2021
Zidong Taichu is an AI model developed by Chinese Academy of Sciences and Wuhan AI Computing Center (China), first published in August 2021. It works in the multimodal, speech, vision and language domain, on tasks such as language modeling/generation, speech recognition (asr) and image captioning.
Training it took an estimated 8×10²⁰ FLOP of compute (estimation method: operation counting). The model has 3,200,000,000 parameters.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Chinese Academy of Sciences, Wuhan AI Computing Center
- Country of organization
- China
- Domain
- Multimodal, Speech, Vision, Language
- Task
- Language modeling/generation, Speech recognition (ASR), Image captioning
- Training compute
- 8×10²⁰ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 3,200,000,000
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Epoch confidence
- Confident
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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