Qwen3-VL-4B-Instruct Fine-Tuned Table Image-to-HTML Model
This model is a fine-tuned version of Qwen3-VL-4B-Instruct, specialized for converting table images into HTML code.
Fine-Tuning Details
- Base model:
Qwen3-VL-4B-Instruct - Task: Table image-to-HTML conversion
- Data type: Image
- File format: JSON
- Training data: 500,777 examples
- Data size: 15.7 GB
- Epochs: 1
- Dataset: PubTabNet-based table image data
Evaluation
| Metric | Before | After |
|---|---|---|
| TEDS Struct Score | 0.8527 | 0.8738 |
Government R&D Project
This software is a result of the following government research and development project:
| Item | Details |
|---|---|
| Project Name | AI 기반 중소기업 업무 자동화 및 통합 검색 솔루션 |
| Project No. | RQT-25-090153 |
| Supervisor | 정보통신산업진흥원 |
| Performer | Proten Co., Ltd. |
| R&D Period | 2026.01.01 ~ 2026.06.30 |
- Downloads last month
- 15
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for ProtenLabs/Qwen3-VL-4B-Instruct-pubnet
Base model
Qwen/Qwen3-VL-4B-Instruct