Lighteval

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Lighteval is an AI evaluation toolkit that provides lightning-fast, flexible LLM evaluation across multiple backends. It allows users to save and explore detailed, sample-by-sample results to debug and compare model performance.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is lighteval?

Lighteval is an all-in-one toolkit developed by Hugging Face's Leaderboard and Evals Team for evaluating Large Language Models (LLMs). It offers lightning-fast and flexible evaluation capabilities across various backends, whether the model is served remotely or loaded in memory. Users can dive deep into model performance by saving and exploring detailed, sample-by-sample results, which aids in debugging and comparing how models stack up. The tool supports extensive customization, allowing users to leverage existing tasks and metrics or effortlessly create their own custom tasks and metrics tailored to specific needs. It supports over 1000 evaluation tasks across multiple domains and languages, including popular benchmarks in knowledge, math, code, chat model evaluation, multilingual evaluation, and core language understanding.

Best used for

Ideal for AI researchers and developers who need to rigorously evaluate and compare Large Language Models across various benchmarks and custom tasks. Especially valuable for debugging model performance and understanding how different LLMs stack up against each other with detailed, sample-by-sample results.

Common actions

evaluate LLM performance

benchmark large language models

debug AI models

compare LLM architectures

automated workflowcollaborationdeepfakelow-code/no-codeworkflowsgithub copilotface swapping"AI Agents"open-source

Capabilities

Key features

Evaluate LLMs
Multiple backends support
Save sample-by-sample results
Custom tasks creation
Custom metrics definition
1000+ evaluation tasks
Python API

Target Audience

ai/ml researchersmachine learning engineersdata scientistsllm developers

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of LLM evaluation tasks does Lighteval support?

Lighteval supports over 1000 evaluation tasks across diverse domains and languages. These include benchmarks for general knowledge (MMLU, GPQA), math and code (GSM8K, LCB), chat model evaluation (IFEval, MT-Bench), multilingual assessments (XTREME, Flores200), and core language understanding (GLUE, SQuAD).

Can I use Lighteval with models already loaded in memory?

Yes, Lighteval offers a Python API that allows you to evaluate models that are already loaded in memory. This provides flexibility for integrating the evaluation toolkit directly into your existing model development and testing workflows without needing to serve the model externally.

What backends does Lighteval support for model evaluation?

Lighteval supports multiple backends for evaluation, including inspect-ai, Hugging Face Accelerate, Nanotron for distributed settings, VLLM, SGLang, and various endpoints like Hugging Face Inference Endpoints, TGI, and LiteLLM for compatible APIs. It also allows for custom model APIs.

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