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Lighteval - AI Model Development Tool

Overview

Lighteval is an all-in-one toolkit for evaluating large language models across multiple backends. It provides detailed sample-by-sample performance metrics and options to customize evaluation tasks. The project is available as a GitHub repository and focuses on configurable, reproducible LLM evaluations rather than model training or hosting.

Key Features

  • Evaluates LLMs across multiple backends
  • Produces detailed sample-by-sample performance metrics
  • Supports customizable evaluation tasks and metrics
  • Consolidates evaluation workflows into a single toolkit

Ideal Use Cases

  • Compare model outputs at the sample level
  • Benchmark models across different backends
  • Customize task definitions for domain-specific evaluation
  • Generate metrics to inform model selection decisions

Getting Started

  • Visit the project's GitHub repository
  • Clone the repository to your local machine
  • Install dependencies as described in the README
  • Run an example evaluation script from examples
  • Review the generated sample-by-sample metrics output
  • Modify task configurations to match your evaluation needs

Pricing

Hosted on GitHub; no pricing or commercial terms listed in the provided data.

Key Information

  • Category: Model Development
  • Type: AI Model Development Tool
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