hugging-face-community-evals

# Overview ## When to Use Use this skill for local model evaluation, backend selection, and GPU smoke tests outside the Hugging Face Jobs workflow. This skill is for **running evaluations against models on the Hugging Face Hub on local hardware**. It covers: - `inspect-ai` with local inference - `lighteval` with local inference - choosing between `vllm`, Hugging Face Transformers, and `accelerate` - smoke tests, task selection, and backend fallback strategy It does **not** cover: - Hugging Face Jobs orchestration - model-card or `model-index` edits - README table extraction - Artificial Analysis imports - `.eval_results` generation or publishing - PR creation or community-evals automation If the user wants to **run the same eval remotely on Hugging Face Jobs**, hand off to the `hugging-face-jobs` skill and pass it one of the local scripts in this skill. If the user wants to **publish results into the community evals workflow**, stop after generating the evaluation run and hand off that publishing step to `~/code/community-evals`. > All paths below are relative to the directory containing this `SKILL.md`. # When To Use Which Script | Use case | Script | |---|---| | Local `inspect-ai` eval on a Hub model via inference providers | `scripts/inspect_eval_uv.py` | | Local GPU eval with `inspect-ai` using `vllm` or Transformers | `scripts/inspect_vllm_uv.py` | | Local GPU eval with `lighteval` using `vllm` or `accelerate` | `scripts/lighteval_vllm_uv.py` | | Extra command ...