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DISC MedLLM

Developed by Flmc
DISC-MedLLM is a domain-specific large language model for medical dialogue scenarios developed by Fudan University's DISC Lab, built upon Baichuan-13b-base, providing high-quality health support services.
Downloads 128
Release Time : 8/28/2023

Model Overview

A large-scale domain model specifically designed for medical dialogue scenarios, capable of meeting diverse needs including consultation and treatment advice.

Model Features

Knowledge-intensive and Reliable
Achieves goal-oriented reconstruction through carefully selected data sources, ensuring the accuracy of medical domain knowledge.
Supports Multi-round Inquiries
Capable of handling complex multi-round medical dialogue scenarios.
Aligned with Human Preferences
Through an 'LLM + Human' collaborative framework, the model's outputs better align with actual medical consultation needs.

Model Capabilities

Medical consultation
Treatment advice generation
Multi-round medical dialogue
Medical knowledge Q&A

Use Cases

Medical Consultation
Symptom Consultation
Users describe symptoms, and the model provides possible cause analysis.
Effectively bridges the gap between general language models and actual medical consultations.
Treatment Advice
Provides treatment suggestions based on the user's condition.
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