MiniMax-M2.7
MiniMax-M2.7 is an open-weight language model from MiniMax, released on March 18, 2026. It is a mixture-of-experts model. MiniMax does not state the parameter count on the model card; Hugging Face metadata counts about 229B parameters. The model takes text input.
- Developer
- MiniMax
- Released
- March 18, 2026
- Total parameters
- 229B
- Architecture
- MoE
- Input
- Text
- License
- MiniMax Non-Commercial License
- Commercial use
- No
- Hugging Face repository
- huggingface.co
- Checked on
The weights are released under the MiniMax Non-Commercial License, which does not allow commercial use. Personal, non-profit and academic research use only. Any commercial use needs prior written authorization from MiniMax and the attribution “Built with MiniMax M2.7”.
- Total parameters, billions
- 229B
- License type
- Non-commercial
- License conditions
- Personal, non-profit and academic research use only. Any commercial use needs prior written authorization from MiniMax and the attribution "Built with MiniMax M2.7".
- Weights precision
- FP8 + BF16
- License text
- github.com
- Sources
Page URL Hugging Face model card https://huggingface.co/MiniMaxAI/MiniMax-M2.7/raw/main/README.md License text on GitHub https://raw.githubusercontent.com/MiniMax-AI/MiniMax-M2.7/main/LICENSE Hugging Face API https://huggingface.co/api/models/MiniMaxAI/MiniMax-M2.7?expand=safetensors minimax.io announcement https://www.minimax.io/news/minimax-m27-en