Kun-Xiang

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AtomThink-LLaVA1.5-7B

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This PR significantly enhances the model card for AtomThink-LLaVA1.5-7B by:

• Adding pipeline_tag: image-text-to-text to improve discoverability for multimodal reasoning tasks.
• Specifying library_name: transformers as the model is compatible with the Hugging Face Transformers library.
• Updating the license to MIT, aligning with the official GitHub repository's license file.
• Including descriptive tags such as multimodal, mathematical-reasoning, llava, and slow-thinking.
• Adding direct links to the official Hugging Face paper page and the GitHub repository.
• Expanding the model description with the paper abstract and key features from the GitHub README.
• Embedding relevant diagrams from the GitHub repository for better visual understanding.
• Providing a clear and concise sample usage code snippet for quick inference using the transformers library.
• Retaining and formatting the citation information.
• Adding an Acknowledgement section from the GitHub README.

These changes will make the model more discoverable, understandable, and easier to use for researchers and developers on the Hugging Face Hub.