Nhaass/ChartQA-Qwen3-VL-2B

Space

1

stars

52

commits

1

linked in READMEs

Jan 5, 2026

updated

docker

README

ChartQA: Vision-Language Model for Chart Understanding

Ask questions about charts and graphs! This model uses Qwen3-VL-2B fine-tuned with GRPO (Group Relative Policy Optimization) to provide accurate, step-by-step reasoning.

Features

  • πŸ“ˆ Upload any chart or graph image
  • πŸ’¬ Ask natural language questions
  • 🎯 Get step-by-step reasoning + structured answers
  • ⚑ Real-time streaming responses

Model

  • Base: Qwen3-VL-2B-Thinking
  • Training: SFT + GRPO Reinforcement Learning
  • Dataset: ChartQA (augmented + converted)

Usage

  1. Upload a chart image
  2. Type your question
  3. Click "Generate Answer"
  4. Watch the streaming response!

Examples

  • "What is the highest value shown in the chart?"
  • "Compare the values between 2020 and 2021."
  • "What trend can you observe from this chart?"

Built with ❀️ using Streamlit & Hugging Face

Contributors

Nhaass

52 commits

Nhaass/ChartQA-Qwen3-VL-2B

Space

1

stars

52

commits

1

linked in READMEs

Jan 5, 2026

updated

docker

README

ChartQA: Vision-Language Model for Chart Understanding

Ask questions about charts and graphs! This model uses Qwen3-VL-2B fine-tuned with GRPO (Group Relative Policy Optimization) to provide accurate, step-by-step reasoning.

Features

  • πŸ“ˆ Upload any chart or graph image
  • πŸ’¬ Ask natural language questions
  • 🎯 Get step-by-step reasoning + structured answers
  • ⚑ Real-time streaming responses

Model

  • Base: Qwen3-VL-2B-Thinking
  • Training: SFT + GRPO Reinforcement Learning
  • Dataset: ChartQA (augmented + converted)

Usage

  1. Upload a chart image
  2. Type your question
  3. Click "Generate Answer"
  4. Watch the streaming response!

Examples

  • "What is the highest value shown in the chart?"
  • "Compare the values between 2020 and 2021."
  • "What trend can you observe from this chart?"

Built with ❀️ using Streamlit & Hugging Face

Contributors

Nhaass

52 commits