temaq-org/Tema_Q-X-4B
Tema_Q-X-4B is a 4 billion parameter large language model developed by temaq-org, based on Alibaba's Qwen 3 4B architecture, with a context length of 32768 tokens. This model is specifically enhanced for both Japanese and English, designed to provide more flexible and useful responses to complex prompts than standard Qwen models. It excels in creative writing, intricate programming tasks, and in-depth knowledge exploration, making it suitable for users seeking to maximize AI potential across various domains.
Loading preview...
Tema_Q-X-4B: Enhanced Multilingual LLM
Tema_Q-X-4B is a 4 billion parameter large language model developed by temaq-org, building upon Alibaba's high-performance Qwen 3 4B base model. This iteration, specifically Qwen3-4B-Instruct-2507, is significantly improved for Japanese and English language processing.
Key Capabilities
- Enhanced Responsiveness: Designed to generate more flexible and useful answers, particularly for prompts that standard Qwen models might find challenging.
- Multilingual Proficiency: Optimized for strong performance in both Japanese (JA) and English (EN).
- Broad Application: Suitable for a wide range of tasks including creative writing, complex programming, and deep knowledge exploration.
Good For
- Users requiring an LLM with robust Japanese and English capabilities.
- Applications involving creative content generation.
- Tackling complex programming challenges.
- Scenarios demanding in-depth knowledge retrieval and synthesis.
Responsible AI Use
Users are responsible for ensuring that all generated content complies with applicable laws, regulations, and Hugging Face's terms of use. The model's use for discrimination, harassment, violence, illegal activities, or any harmful purposes is strictly prohibited.