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Qwen2-VL-PRISM-SFT

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This PR adds a comprehensive model card for the Qwen2-VL-PRISM-SFT model, which is a core component of the PRISM framework for robust Vision-Language Model (VLM) alignment.

Key additions and improvements include:

• Metadata: Added license: mit, library_name: transformers, and pipeline_tag: image-text-to-text. These tags enhance discoverability on the Hugging Face Hub and enable the "Use in Transformers" widget, providing automated code snippets for users.
• Paper Link: Linked the model to its associated paper, PRISM: Robust VLM Alignment with Principled Reasoning for Integrated Safety in Multimodality.
• GitHub Repository: Included a direct link to the official GitHub repository: https://github.com/SaFoLab-WISC/PRISM.
• Abstract: Incorporated the paper's abstract to provide a concise overview of the model's purpose and methodology.
• Model Details: Added information about the training datasets and model weights mentioned in the GitHub README.
• Citation: Included the BibTeX entry for easy referencing of the paper.

These updates significantly improve the model's documentation, making it more informative and accessible for the community.