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Chartqwen

ChartQwen is a vision-language model fine-tuned from Qwen/Qwen-VL for chart understanding tasks. The model is designed to interpret visual charts such as bar charts, line graphs, and plots, and answer natural...

KindOtherBase modelQwen/Qwen-VLVersionRevision 339c0d2

Model source

Kind
Other
File size
363 MB
Base model
Qwen/Qwen-VL
Version
vRevision 339c0d2
Updated
Sep 26, 2026
Downloads
0
Tasks
Captioning
Source
Hugging Face

Source description

ChartQwen

Model Description

ChartQwen is a vision-language model fine-tuned from Qwen/Qwen-VL for chart understanding tasks.
The model is designed to interpret visual charts such as bar charts, line graphs, and plots, and answer natural language questions related to them.

It supports multimodal reasoning by jointly processing images and text prompts.


Intended Use

This model can be used for:

  • Chart question answering
  • Chart data interpretation
  • Visual reasoning over plots and graphs
  • Document and report analysis involving charts

Training Details

  • Base model: Qwen/Qwen-VL
  • Modality: Image + Text
  • Fine-tuning type: Supervised fine-tuning on chart-related visual-question pairs
  • Dataset: Custom chart dataset (generated and curated for chart understanding)

Limitations

  • Performance may degrade on low-resolution or highly cluttered charts
  • The model may struggle with handwritten charts or uncommon chart styles
  • Numerical precision depends on chart clarity

Sources

1 source
Hugging FacePrimaryVersion 339c0d227f5e23b3fbeccf322203233f91bd1d67
huggingface.co/Sayeem26s/Chartqwen/tree/339c0d227f5e23b3fbeccf322203233f91bd1d67

Verified Sep 10

Model artifacts

1 artifact

adapter_model.safetensors

safetensors · 363 MB · SHA-256 0459a0d8939a…906f · Hugging Face

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Source excerpts

2 excerpts

--- license: apache-2.0 language: - en pipeline_tag: image-to-text library_name: transformers base_model: Qwen/Qwen-VL tags: - vision-language - chart-understanding - chart-question-answering - document-understanding - multimodal datasets: - custom metrics: - accuracy model-index: - name: ChartQwen results: [] --- # ChartQwen ## Model Description ChartQwen is a vision-language model fine-tuned from **Qwen/Qwen-VL** for chart understanding tasks. The model is designed to interpret visual charts such as bar charts, line graphs, and plots, and answer natural language questions related to them. It supports multimodal reasoning by jointly processing images and text prompts. --- ## Intended Use This model can be used for: - Chart question answering - Chart data interpretation - Visual reasoning over plots and graphs - Document and report analysis involving charts --- ## Training Details - **Base model:** Qwen/Qwen-VL - **Modality:** Image + Text - **Fine-tuning type:** Supervised fine-tuning on chart-related visual-question pairs - **Dataset:** Custom chart dataset (generated and curated for chart understanding) ## Limitations - Performance may degrade on low-resolution or highly cluttered charts - The model may struggle with handwritten charts or uncommon chart styles - Numerical precision depends on chart clarity ---

Source context: 0 downloads · 1 likes · Pipeline image-to-text · Library transformers · Repo Sayeem26s/Chartqwen