Model: ZhangQiao123/medgemma-medical-multimodal-qa
Author: ZhangQiao123
Pipeline: image-text-to-text
Library: transformers
Tags: transformers, safetensors, medical, chinese, multimodal, vision-language, chest-xray, healthcare, lora, medical-imaging, radiology, image-text-to-text, conversational, zh, dataset:alkzar90/NIH-Chest-X-ray-dataset, base_model:ZhangQiao123/medgemma-chinese-medical-qa, base_model:adapter:ZhangQiao123/medgemma-chinese-medical-qa, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (adapter): id: ZhangQiao123/medgemma-chinese-medical-qa
Card metadata: license: apache-2.0
base_model: ZhangQiao123/medgemma-chinese-medical-qa
tags: medical, chinese, multimodal, vision-language, chest-xray, healthcare, lora, medical-imaging, radiology
language: zh
pipeline_tag: image-text-to-text
library_name: transformers
datasets: alkzar90/NIH-Chest-X-ray-dataset
model_type: gemma
inference: yes
widget: example_title: 胸部X光分析
text: 请分析这张胸部X光片，描述可能的疾病征象, example_title: 多模态医学问答
text: 基于影像，这位患者可能患有什么疾病？, example_title: 中文医学报告
text: 请为这张胸部X光片生成详细的中文医学报告
model-index: name: MedGemma Medical Multimodal QA
results: task: type: image-text-to-text
name: Medical Multimodal Question Answering
dataset: type: medical-imaging
name: NIH Chest X-ray Dataset
metrics: type: accuracy
value: 85
name: Disease Classification Accuracy
verified: no, type: bleu
value: 75
name: Chinese Medical Report BLEU Score
verified: no
Likes: 3 | All-time downloads: 0
Created: 2025-07-22 21:57:04