Enhance model card: Add metadata, abstract, links, and usage example
#1
by
nielsr
HF Staff
- opened
This PR significantly enhances the model card by:
- Adding relevant metadata: Includes
pipeline_tag: text-generation
for better discoverability andlibrary_name: transformers
to indicate compatibility with the Hugging Face Transformers library. - Updating the license: Changed the license from
llama3.3
tomit
to accurately reflect the project's license as stated on its GitHub repository. - Providing a comprehensive overview: Integrates the paper's abstract for a quick understanding of the model's contributions and purpose.
- Improving accessibility to resources: Adds direct links to the official Hugging Face paper page, the project's dedicated webpage, and the GitHub code repository at the top of the card.
- Including a practical usage example: Provides a runnable Python code snippet for a "Quick Start," demonstrating how to easily load and use the quantized model, which greatly improves user experience.
- Adding citation information: Includes the BibTeX citation to facilitate proper academic referencing.
These changes make the model card more informative, discoverable, and user-friendly for the Hugging Face community.