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LoRI-S_nlu_llama3_rank_64

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This PR significantly enhances the model card for tomg-group-umd/LoRI-S_nlu_llama3_rank_64 by incorporating detailed information from the paper 'LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation' and its associated GitHub repository.

Key updates include:

• Adding the paper's abstract and key highlights to provide a quick overview.
• Specifying the license as Apache 2.0 in both metadata and content.
• Adding relevant tags to the metadata for improved discoverability on the Hugging Face Hub.
• Populating sections like 'Model Details', 'Uses', 'Bias, Risks, and Limitations', 'How to Get Started with the Model', 'Training Details', and 'Evaluation'.
• Providing a runnable Python code example for model inference.
• Including explicit links to the GitHub repository and the project's Hugging Face collection.
• Adding the full BibTeX citation.

These changes make the model card much more informative and user-friendly, allowing researchers and practitioners to understand and use the model effectively.