windprak

/

open_steuerllm

like 1

Hi! I'm Niels from the Hugging Face community team.

I've opened this PR to enhance the model card for SteuerLLM by adding relevant metadata and providing a more comprehensive overview of the model.

Key changes include:

• Added metadata tags for pipeline_tag, library_name, license, language, and linked associated datasets.
• Clearly linked the model to its paper, GitHub repository, and demo.
• Provided a structured "Model Description" summarizing its architecture, training methodology, and unique aspects, drawing from the paper abstract and GitHub README.
• Included details on model usage and recommended inference parameters.
• Retained the existing BibTeX citation and explicitly stated the license.

Merging this will make the model more discoverable on the Hub and provide users with a clearer understanding of its capabilities and origin.