huggingface-community-evals
OfficialLocal HF model evals with flexible backends
AuthorLAF-US
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill enables teams to run local, configurable evaluations of Hugging Face Hub models using inspect-ai and lighteval with multiple backend options. It centralizes local evaluation workflows for quick testing and backend comparisons without relying on HF Jobs orchestration.
Core Features & Use Cases
- Local evaluation of Hugging Face Hub models using inspect-ai and lighteval with backends such as vLLM, Transformers, and accelerate.
- Script-driven deterministic runs with separate scripts for smoke tests, backend selection, and task management.
- Safe hand-off boundaries for remote job orchestration and publishing workflows to dedicated automation skills.
Quick Start
Run a local Hugging Face Hub model evaluation using the provided inspect-ai or lighteval scripts.
Dependency Matrix
Required Modules
inspect-ai>=0.3.0inspect-evalsopenaivllm>=0.4.0torch>=2.0.0transformers>=4.40.0lighteval[accelerate,vllm]>=0.6.0accelerate>=0.30.0
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: huggingface-community-evals Download link: https://github.com/LAF-US/IDAHO-VAULT/archive/main.zip#huggingface-community-evals Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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