This is the Linux app named MING whose latest release can be downloaded as MINGsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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MING
DESCRIPTION
MING is an open-source medical large language model designed for intelligent medical consultation and question answering in Chinese. The project focuses on building a healthcare-focused conversational system capable of responding to medical questions, analyzing case descriptions, and guiding diagnostic reasoning. It is trained using medical instruction tuning so that the model can understand patient symptoms and respond with structured explanations and clinical suggestions. One of its primary goals is to simulate a multi-round medical consultation process, allowing the system to ask follow-up questions before offering diagnostic recommendations. This interactive capability makes it suitable for conversational health applications, patient triage scenarios, and educational demonstrations. The model is built on transformer-based architectures using frameworks such as PyTorch and integrates with Hugging Face tooling for training and inference workflows.
Features
- Instruction-tuned medical large language model for healthcare dialogue
- Medical question answering and case analysis capabilities
- Multi-turn consultation workflow for diagnostic reasoning
- Transformer-based architecture implemented with PyTorch
- Integration with Hugging Face ecosystem for training and inference
- Domain-specific dataset focused on clinical consultation scenarios
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/ming.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.