Overview

This skill provides tools to add structured evaluation results to Hugging Face model cards. It supports multiple methods for adding evaluation data:

• Extracting existing evaluation tables from README content
• Importing benchmark scores from Artificial Analysis
• Running custom model evaluations with vLLM or accelerate backends (lighteval/inspect-ai)

Integration with HF Ecosystem

• Model Cards: Updates model-index metadata for leaderboard integration
• Artificial Analysis: Direct API integration for benchmark imports
• Papers with Code: Compatible with their model-index specification
• Jobs: Run evaluations directly on Hugging Face Jobs with uv integration
• vLLM: Efficient GPU inference for custom model evaluation
• lighteval: HuggingFace's evaluation library with vLLM/accelerate backends
• inspect-ai: UK AI Safety Institute's evaluation framework

Version

1.3.0

Dependencies