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LightEval

A lightweight toolkit from Hugging Face for fast, flexible LLM evaluation across multiple backends.

Introduction

LightEval is Hugging Face’s lightweight toolkit for fast and flexible LLM evaluation. It supports multiple backends (Accelerate, VLLM, Nanotron, endpoints) and saves sample-by-sample results to help debug and compare model behavior.

Key Features

  • Supports 7,000+ evaluation tasks spanning knowledge, math, chat, multilingual and more.
  • Multi-backend compatibility: run evaluations with in-memory models, Accelerate, VLLM, Nanotron or inference endpoints.
  • Extensible tasks and metrics: documentation and examples for adding custom tasks and metrics.
  • Sample-level outputs: save detailed results for inspection and visualization.

Use Cases

  • Model comparison: perform sample-wise comparisons to find model weaknesses.
  • Benchmarking: run comprehensive baselines before model release.
  • Research & debugging: investigate model failure modes using sample-level diagnostics.

Technical Highlights

  • Modular architecture to plug in new backends and task sets easily.
  • CLI and Python API for scripted and interactive workflows.
  • Active maintenance and community contributions; rich docs and examples.

Comments

LightEval
Resource Info
Author Hugging Face
Added Date 2025-10-02
Open Source Since 2024-01-26
Tags
Evaluation Open Source