YU-MO/Yumo
YU-MO/Yumo is a 14.8 billion parameter instruction-tuned causal language model, based on the DeepSeek-R1-Distill-Qwen architecture. Developed by YU-MO, it is fine-tuned for reasoning tasks and supports both English and Spanish. This bilingual model is optimized for chat applications, leveraging diverse datasets including specialized reasoning and mathematical data.
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YU-MO/Yumo: A Bilingual Reasoning-Optimized Chat Model
YU-MO/Yumo is a 14.8 billion parameter instruction-tuned language model built upon the DeepSeek-R1-Distill-Qwen base architecture. Developed by YU-MO, this model is specifically fine-tuned for enhanced reasoning capabilities, making it suitable for complex analytical and problem-solving tasks. It supports both English and Spanish, catering to a broader range of linguistic applications.
Key Capabilities
- Enhanced Reasoning: Fine-tuned with specialized datasets like
YU-MO/Omni-MATHto improve logical deduction and mathematical problem-solving. - Bilingual Support: Processes and generates text effectively in both English and Spanish.
- Chat Optimization: Designed for interactive conversational agents and chat applications.
- Robust Training: Leverages a combination of diverse datasets, including
Roman1111111/claude-opus-4.6-10000xandRUC-AIBOX/STILL-3-Preview-RL-Data, to ensure comprehensive understanding and generation.
Good For
- Applications requiring strong reasoning and mathematical abilities.
- Bilingual chat interfaces and conversational AI in English and Spanish.
- Tasks benefiting from a model fine-tuned on high-quality instruction and reasoning data.