AI models
Eurus-2-7B-PRIME
Parameters
7B
Published
Feb 3, 2025
Eurus-2-7B-PRIME is an AI model developed by Tsinghua University, University of Illinois Urbana-Champaign (UIUC), Shanghai AI Lab, Peking University, Shanghai Jiao Tong University and CUHK Shenzhen Research Institute (China and United States), first published in February 2025. It works in the mathematics domain, on tasks such as mathematical reasoning and code generation.
Epoch AI has no training-compute estimate for this model. The model has 7,000,000,000 parameters. It was trained on roughly 830K datapoints.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of Qwen2.5-Math-7B-Base. The reference paper has 333 citations. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- Tsinghua University, University of Illinois Urbana-Champaign (UIUC), Shanghai AI Lab, Peking University, Shanghai Jiao Tong University, CUHK Shenzhen Research Institute
- Country of organization
- China, United States
- Domain
- Mathematics
- Task
- Mathematical reasoning, Code generation
- Parameters
- 7,000,000,000
- Dataset size
- 830K
- Numerical format
- BF16
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- Qwen2.5-Math-7B-Base
- Citations
- 333
- Epoch confidence
- Speculative
Benchmark results
| 01 | GPQA Diamond | mean_score | 0.34 |
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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