Model: SimulaMet/MedGemma-KvasirVQA-x1-ft
Author: SimulaMet
Pipeline: visual-question-answering
Library: peft
Tags: peft, safetensors, vision, vqa, medical, endoscopy, kvasir, fine-tuning, qwen, visual-question-answering, en, dataset:SimulaMet/Kvasir-VQA-x1, arxiv:2506.09958, base_model:google/medgemma-4b-it, base_model:adapter:google/medgemma-4b-it, license:mit, region:us
Base models (adapter): id: google/medgemma-4b-it
Card metadata: base_model: google/medgemma-4b-it
library_name: peft
language: en
tags: vision, vqa, medical, endoscopy, kvasir, fine-tuning, qwen, visual-question-answering
license: mit
pipeline_tag: visual-question-answering
datasets: SimulaMet/Kvasir-VQA-x1
training: framework: peft
method: lora
base_model: Qwen/Qwen2.5-7B-Instruct
precision: bfloat16
dataset: SimulaMet/Kvasir-VQA-x1
tasks: visual-question-answering
metrics: accuracy, bleu, rouge
Likes: 0 | All-time downloads: 84
Created: 2025-11-03 11:43:47