Model: ZhangQiao123/medgemma-chinese-medical-qa
Author: ZhangQiao123
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, gemma3n, any-to-any, medical, chinese, healthcare, qa, conversational, lora, medical-reasoning, text-generation, zh, dataset:FreedomIntelligence/huatuo_encyclopedia_qa, dataset:FreedomIntelligence/medical-o1-reasoning-SFT, dataset:medalpaca/medical_meadow_medical_flashcards, base_model:unsloth/gemma-3n-E4B-it-unsloth-bnb-4bit, base_model:adapter:unsloth/gemma-3n-E4B-it-unsloth-bnb-4bit, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (adapter): id: unsloth/gemma-3n-E4B-it-unsloth-bnb-4bit
Card metadata: license: apache-2.0
base_model: unsloth/gemma-3n-E4B-it-unsloth-bnb-4bit
tags: medical, chinese, healthcare, qa, conversational, gemma3n, lora, medical-reasoning
language: zh
pipeline_tag: text-generation
library_name: transformers
datasets: FreedomIntelligence/huatuo_encyclopedia_qa, FreedomIntelligence/medical-o1-reasoning-SFT, medalpaca/medical_meadow_medical_flashcards
model_type: gemma
inference: yes
widget: example_title: 高血压咨询
text: <start_of_turn>user
请问高血压的主要症状有哪些？<start_of_turn>model
, example_title: 糖尿病饮食
text: <start_of_turn>user
糖尿病患者的饮食注意事项？<start_of_turn>model
, example_title: 心血管预防
text: <start_of_turn>user
如何预防心血管疾病？<start_of_turn>model

model-index: name: MedGemma Chinese Medical QA
results: task: type: text-generation
name: Medical Question Answering
dataset: type: medical-qa
name: Chinese Medical QA
metrics: type: accuracy
value: 79
name: Overall Score
verified: no, type: success_rate
value: 100
name: Inference Success Rate
verified: no
Likes: 1 | All-time downloads: 440
Created: 2025-07-13 07:22:31