Improve model card: Add pipeline tag, library name, and detailed inference/training

by nielsr HF Staff - opened Sep 8

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nielsr

Sep 8

This PR significantly enhances the model card by adding relevant metadata and comprehensive content from the original GitHub repository.

Key improvements include:

Metadata: Added pipeline_tag: any-to-any to correctly categorize the model and improve discoverability at https://huggingface.co/models?pipeline_tag=any-to-any. Added library_name: transformers based on config.json indicating LlamaForCausalLM architecture and transformers_version, which enables automated usage snippets on the model page.
Structure and Links: Updated the model card title and added prominent badges at the top linking to the paper, project page, and GitHub repository for easy access.
Content Completeness: Integrated the "Open-Source Checklist," "Chat model CLI Inference" instructions, and the detailed "Pretraining and SFT" section from the project's GitHub README, providing a more complete guide for users.
Typos: Corrected the "Lincese" heading to "License".

These updates will improve the model's visibility, usability, and overall presentation on the Hugging Face Hub.

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