AI models
CodeGeeX
Training compute
6.6×10²² FLOP
Parameters
13B
Published
Jun 22, 2022
CodeGeeX is an AI model developed by Z.ai (Zhipu AI) and Tsinghua University (China), first published in June 2022. It works in the language domain, on tasks such as code generation.
Training it took an estimated 6.6×10²² FLOP of compute (estimation method: operation counting). The model has 13,000,000,000 parameters. It was trained on roughly 850B datapoints. Training ran on Huawei Ascend 910 for about 156 hours.
Access: Open weights (restricted use). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Z.ai (Zhipu AI), Tsinghua University
- Country of organization
- China
- Domain
- Language
- Task
- Code generation
- Training compute
- 6.6×10²² FLOP
- Compute estimation method
- Operation counting
- Parameters
- 13,000,000,000
- Dataset size
- 850B
- Training hardware
- Huawei Ascend 910
- Training time
- 156 h
- Model accessibility
- Open weights (restricted use)
- Open weights
- Yes
- Epoch confidence
- Confident
More from Z.ai (Zhipu AI),Tsinghua University
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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