CBrootA/Qwen-MediCare-BD
Qwen-MediCare-BD is a 3.1 billion parameter medical language model developed by CBrootA, fine-tuned from Qwen2.5-3B-Instruct. It is specifically trained on Bangladesh-specific medical data, including local diseases and drugs, and supports both English and Bangla queries. This model is designed for 100% offline use, with a mobile-ready quantized version (Q4_K_M at 1.8GB), making it ideal for medical assistance in regions with limited internet connectivity.
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Qwen-MediCare-BD: Bangladesh's First Offline Medical AI Assistant
Qwen-MediCare-BD is a specialized 3.1 billion parameter medical language model, fine-tuned from Qwen2.5-3B-Instruct by CBrootA. Its primary differentiator is its focus on Bangladesh-specific medical context, incorporating local diseases, drugs, and healthcare information. This model is engineered for 100% offline operation, making it a crucial tool for providing medical information in areas with limited or no internet access.
Key Capabilities
- Bangladesh-Specific Medical Knowledge: Trained on 30,523 medical Q&A pairs relevant to Bangladesh.
- Offline Functionality: Designed for complete offline inference, ensuring accessibility without internet.
- Mobile-Ready: Available in a quantized Q4_K_M GGUF format (1.8 GB) for efficient deployment on mobile and edge devices.
- Multilingual Support: Capable of processing queries in both English and Bangla.
Good For
- Providing medical information in rural or underserved regions of Bangladesh.
- Developing mobile-based medical AI assistants that require no internet connection.
- Research and development of localized healthcare AI solutions.
- Applications where data privacy and offline processing are critical.