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Qwen3-VL-4B-Instruct-pubnet
ProtenLabs/Qwen3-VL-4B-Instruct-pubnet
Qwen3-VL-4B-Instruct-pubnet is a machine learning model from ProtenLabs. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a fine-tuned version of Qwen3-VL-4B-Instruct, specialized for converting table images into HTML code.
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8.9 GB on disk
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At a glance
- Model type
- qwen3_vl
- Access
- Public
- Created
- Jun 8, 2026
- Updated
- Jun 9, 2026
- SHA
- 829f5af6
Base models
Model card
From the Hugging Face model README
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 |
- Type
- qwen3_vl
- Created
- Jun 8, 2026
- Updated
- Jun 9, 2026