Loyca-Qwen3-VL-2B-Instruct-OCR

Model Card for Vokturz/Loyca-Qwen3-VL-2B-Instruct-OCR

Model Details

Model Description

Loyca-Qwen3-VL-2B-Instruct-OCR is a lightweight LoRA adapter built on top of Qwen/Qwen3-VL-2B-Instruct, fine-tuned for visual text recognition (OCR) and screen content understanding.
It enhances the base model’s ability to read and interpret text embedded in images — particularly screenshots and user interfaces — and respond with structured, instruction-following outputs.

Model Sources

• Repository: https://huggingface.co/Vokturz/Loyca-Qwen3-VL-2B-Instruct-OCR
• Base model: https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct
• Fine-tuning run: W&B Experiment

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Uses

This model can be used directly for Optical Character Recognition (OCR) on screenshots, UI layouts, or application previews.

The model is not designed for:

• Handwritten OCR
• Scene text in natural environments (e.g., street signs)
• Legal or financial document processing without human review

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Training Details

Training Data

The model was trained on Vokturz/sourceforge-app-screenshots-ocr (~1100 records), a custom dataset of annotated application screenshots containing readable text and UI elements.

The dataset focuses on clean UI text extraction rather than general image captioning.

Training Hyperparameters