AI models
OREAL 32B
Parameters
32B
Published
Feb 10, 2025
OREAL 32B is an AI model developed by Shanghai AI Lab, Shanghai Jiao Tong University, Chinese University of Hong Kong (CUHK) and InnoHK (China and Hong Kong), first published in February 2025. It works in the mathematics and language domain, on tasks such as mathematical reasoning, quantitative reasoning, language modeling/generation and question answering.
Epoch AI has no training-compute estimate for this model. The model has 32,000,000,000 parameters. Training ran on 128 NVIDIA A100.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of Qwen2.5-32B. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Shanghai AI Lab, Shanghai Jiao Tong University, Chinese University of Hong Kong (CUHK), InnoHK
- Country of organization
- China, Hong Kong
- Domain
- Mathematics, Language
- Task
- Mathematical reasoning, Quantitative reasoning, Language modeling/generation, Question answering
- Compute estimation method
- Operation counting
- Parameters
- 32,000,000,000
- Training hardware
- NVIDIA A100
- Chips used
- 128
- Training power draw
- 100.5 kW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- Qwen2.5-32B
- Epoch confidence
- Likely
More from Shanghai AI Lab,Shanghai Jiao Tong University,Chinese University of Hong Kong (CUHK),InnoHK
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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