Model: keeeeenw/MicroLlava-Qwen3-0.6B-base-siglip2-so400m
Author: keeeeenw
Pipeline: visual-question-answering
Library: transformers
Tags: transformers, safetensors, tinyllava, text-generation, pytorch, vision-language, visual-question-answering, custom_code, en, base_model:Qwen/Qwen3-0.6B-Base, base_model:finetune:Qwen/Qwen3-0.6B-Base, license:apache-2.0, model-index, region:us
Base models (finetune): id: Qwen/Qwen3-0.6B-Base
Card metadata: license: apache-2.0
language: en
library_name: transformers
tags: pytorch, safetensors, vision-language, visual-question-answering
pipeline_tag: visual-question-answering
base_model: Qwen/Qwen3-0.6B-Base
model-index: name: MicroLLaVA-Qwen3-0.6B-base-siglip2-so400m
results: task: type: visual-question-answering
name: VQAv2
dataset: name: VQAv2
type: vqav2
metrics: name: Overall Accuracy
type: accuracy
value: 78.52
verified: no, name: Yes/No Accuracy
type: accuracy
value: 91.56
verified: no, name: Number Accuracy
type: accuracy
value: 65.69
verified: no, name: Other Accuracy
type: accuracy
value: 70.28
verified: no
source: name: Internal Evaluation on VQAv2 test-dev
url: https://visualqa.org/download.html
Likes: 0 | All-time downloads: 188
Created: 2025-08-23 23:34:16