AI models
MetaMath 7B (Mistral finetune)
Parameters
7B
Published
May 3, 2024
MetaMath 7B (Mistral finetune) is an AI model developed by University of Cambridge, Southern University of Science and Technology (SUSTech), Hong Kong University of Science and Technology (HKUST), Huawei Noah's Ark Lab, Alan Turing Institute and Max Planck Institute for Intelligent Systems (United Kingdom, China, Hong Kong and Germany), first published in May 2024. It works in the language domain, on tasks such as quantitative reasoning.
Epoch AI has no training-compute estimate for this model. The model has 7,000,000,000 parameters. Training ran on 8 NVIDIA A100.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of Mistral 7B. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of Cambridge, Southern University of Science and Technology (SUSTech), Hong Kong University of Science and Technology (HKUST), Huawei Noah's Ark Lab, Alan Turing Institute, Max Planck Institute for Intelligent Systems
- Country of organization
- United Kingdom, China, Hong Kong, Germany
- Domain
- Language
- Task
- Quantitative reasoning
- Compute estimation method
- Operation counting
- Parameters
- 7,000,000,000
- Training hardware
- NVIDIA A100
- Chips used
- 8
- Training power draw
- 6.3 kW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- Mistral 7B
- Epoch confidence
- Confident
More from University of Cambridge,Southern University of Science and Technology (SUSTech),Hong Kong University of Science and Technology (HKUST),Huawei Noah's Ark Lab,Alan Turing Institute,Max Planck Institute for Intelligent Systems
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.
← All ai models