AI models
ONE-PEACE
Training compute
1.8×10²⁰ FLOP
Parameters
4B
Published
May 18, 2023
ONE-PEACE is an AI model developed by Alibaba and Huazhong University of Science and Technology (China), first published in May 2023. It works in the multimodal, vision, speech and language domain, on tasks such as image classification, speech recognition (asr), audio question answering and 2 more.
Training it took an estimated 1.8×10²⁰ FLOP of compute (estimation method: operation counting). The model has 4,000,000,000 parameters. It was trained on roughly 490.6B datapoints.
Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 160 citations. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- Alibaba, Huazhong University of Science and Technology
- Country of organization
- China
- Domain
- Multimodal, Vision, Speech, Language
- Task
- Image classification, Speech recognition (ASR), Audio question answering, Audio classification, Semantic segmentation
- Training compute
- 1.8×10²⁰ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 4,000,000,000
- Dataset size
- 490.6B
- Numerical format
- BF16
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Citations
- 160
- Epoch confidence
- Speculative
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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