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LoRI-D_code_llama3_rank_64

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Tom Goldstein's Lab at University of Maryland, College Park 181

This PR significantly enhances the model card for LoRI-D_code_llama3_rank_64 by adding crucial information derived from the paper abstract and the associated GitHub repository.

Specifically, it addresses:

• Inclusion of the license: apache-2.0 tag in the metadata.
• Comprehensive details for Model Details, Uses, Bias, Risks, and Limitations, How to Get Started with the Model, Training Details, and Evaluation sections, populating [More Information Needed] placeholders.
• Direct links to the Hugging Face paper page (LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation) and the GitHub repository (https://github.com/juzhengz/LoRI/).
• Addition of a runnable Python code snippet for quick inference.
• Inclusion of the BibTeX citation and a visual image of LoRI.

This improvement aims to provide users with a more complete understanding of the model's capabilities, origins, and proper usage, making it more discoverable and user-friendly.