Introduction

Welcome to FreeEval

FreeEval is an open-source framework designed to make language model evaluation accessible, flexible, and comprehensive. Whether you’re a researcher comparing model capabilities, a developer selecting the right model for your application, or an organization building custom benchmarks, FreeEval provides the tools you need.

Why FreeEval?

Language models are evolving rapidly, but understanding their true capabilities requires systematic evaluation across multiple dimensions. FreeEval addresses this need with:

• Flexibility: Evaluate any combination of models (local or API-based) across custom datasets
• Comprehensive Assessment: From basic knowledge tests to complex reasoning and conversation abilities
• Extensibility: Easily add custom evaluation methods or datasets to match your specific requirements
• Reproducibility: Share evaluation configurations to ensure consistent, comparable results
• Efficiency: Optimized for performance with parallel processing and resource management

Key Features

• Multiple Model Support: Evaluate Hugging Face models (local or remote), OpenAI models, or any API-compliant LLM
• Rich Evaluation Methods: Including multiple-choice, cloze tasks, interactive evaluation, and advanced benchmarks like MT-Bench
• Configurable Pipelines: Chain evaluation steps to create sophisticated assessment workflows
• Detailed Analytics: Get comprehensive insights through visualizations and quantitative metrics
• Performance Optimizations: Load balancing, batching, and efficient resource utilization for faster evaluations

Getting Started

Getting started with FreeEval is simple:

1. Install the package
2. Follow our Quick Start guide to run your first evaluation
3. Explore the Core Concepts to understand how FreeEval works

Ready to dive in? Let’s get started!