temaq-org/Tema_Q-R3.1
Tema_Q-R3.1 is a 9 billion parameter large language model developed by KY, TY, HY, KK, built upon Google's Gemma 2 9B base model. This model is specifically improved for Japanese, English, and Chinese, designed to generate more flexible and useful responses than the standard Gemma 2. It excels in creative writing, complex programming tasks, and deep knowledge exploration, aiming to maximize AI potential across various fields.
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Tema_Q-R3.1: An Enhanced Multilingual LLM
Tema_Q-R3.1 (天馬求) is a 9 billion parameter large language model developed by KY, TY, HY, KK. It is built upon Google's high-performance open model, Gemma 2 9B, and has been specifically improved for Japanese, English, and Chinese languages. The model aims to provide more flexible and useful responses, particularly for prompts that the base Gemma 2 might find challenging.
Key Capabilities & Features
- Multilingual Support: Optimized for Japanese, English, and Chinese.
- Enhanced Response Generation: Designed to produce more creative and helpful outputs compared to the standard Gemma 2.
- Broad Application: Suitable for a wide range of tasks including creative writing, complex programming, and in-depth knowledge exploration.
- Performance: Achieved the third-highest UGI score among 9B models on the UGI leaderboard as of December 17, 2025.
When to Use Tema_Q-R3.1
- Users seeking an LLM with strong performance in Japanese, English, and Chinese.
- Applications requiring creative text generation or complex problem-solving.
- Tasks that demand deep knowledge retrieval and nuanced responses.
- Developers looking for a Gemma 2 9B-based model with improved flexibility and utility for diverse prompts.
Responsible AI Use
Users are responsible for ensuring that content generated complies with all applicable laws, regulations, and Hugging Face policies. The model strictly prohibits use for discrimination, harassment, violence, illegal activities, or any harmful purposes.