Xiaomi-Launches-Open-Source-AI-Model-MiMo-7B-Performs-Better-Than-o1-mini  

Hello everyone! Today, I want to share some exciting news about Xiaomi’s latest contribution to the AI community. Xiaomi has released a new open-source AI model called MiMo, which boasts a size of 7 billion parameters. This new model has already demonstrated impressive performance in recent tests, surpassing other well-known models like o1-mini and QwQ-32B-Preview.

Xiaomi's first publicly available version of MiMo includes several variants:  
- **MiMo-7B-Base:** The foundational model, serving as the core of the project.  
- **MiMo-7B-RL-Zero:** A reinforcement-trained version based on the base model.  
- **MiMo-7B-SFT:** A supervised fine-tuned variant.  
- **MiMo-7B-RL:** Reinforcement learning applied to the supervised fine-tuned model.

These models are accessible on popular platforms like GitHub and Hugging Face, allowing developers and researchers to explore and utilize Xiaomi’s open-source AI technology.

What makes MiMo noteworthy is its high performance in recent benchmark tests, including the AIME 2024-2025 and LiveCodeBench v5 evaluations. In these tests, MiMo achieved better scores than the o1-mini model, proving its ability to handle complex AI tasks efficiently and accurately.

This release marks a significant step toward democratizing powerful AI models, making advanced capabilities available to a broader community of developers, researchers, and enthusiasts. Xiaomi’s open-source approach encourages innovation and collaboration, opening new possibilities for AI applications across industries.

If you're interested in exploring Xiaomi’s MiMo models or integrating them into your projects, you can find more details and access the models directly through their GitHub and Hugging Face pages.

Thank you for reading! I hope this news inspires more innovation and collaboration within the AI community.

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