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Lighteval

Lighteval is an MIT toolkit from Hugging Face for fast, flexible LLM evaluation across many backends, with sample-by-sample results and custom tasks.

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Introduction

Lighteval is Hugging Face’s all-in-one toolkit for evaluating LLMs across multiple backends, from the team behind its leaderboards and evaluations. It works whether a model is served somewhere or already loaded in memory.

Backends include Transformers, vLLM, SGLang, Nanotron, inference endpoints and LiteLLM-compatible APIs. Many tasks ship built in, custom tasks and metrics can be added in Python, and detailed sample-by-sample results can be saved locally or pushed to the Hugging Face Hub for inspection.

In the quality loop Lighteval is a model-level regression check during training and before release.

The source code is at huggingface/lighteval on GitHub under the MIT licence, with about 2,600 stars; the most recent commit was on 29 October 2026.

Features

  1. Multiple backends: Transformers, vLLM, SGLang, endpoints and APIs.
  2. Built-in tasks: Common benchmarks.
  3. Custom tasks: Python definitions.
  4. Sample-level results: Debug individual outputs.
  5. Hub integration: Push results to the Hub.
  6. CLI: Simple command-line runs.

Pros

  1. Fast iteration: Designed for quick evaluations.
  2. Free to use: Open source under the MIT licence, so the core tool costs nothing to use.
  3. Actively maintained: The repository had commits as recent as 29 October 2026.

Cons

  1. Overlap: Similar to LM Evaluation Harness.
  2. Pre-1.0: APIs still evolving.
  3. Model-level only: Not for app behaviour.
pip install lighteval
lighteval accelerate "model_name=openai-community/gpt2" "leaderboard|truthfulqa:mc|0"

Resources:

Pricing

Lighteval is free and open source under the MIT licence.

  1. Hugging Face users evaluating models during training.

Conclusion

Lighteval is a flexible, fast evaluation toolkit tightly integrated with the Hub.

Keep task settings pinned for comparable runs.

On CheckOps, Lighteval is filed under the Release & CI gates stage. Related tools listed here include LM Evaluation Harness, OpenCompass, HELM, Inspect, OpenAI Evals and DeepEval. When comparing them, weigh the licence, the languages and platforms each supports, whether it is self-hosted or managed, and how cleanly it slots into your existing CI pipeline. Details on this page were checked against the official website, documentation and repository on 11 November 2026.

Alternatives

Other tools on CheckOps that cover similar ground. Open a page, or compare one with Lighteval side by side.