Benchmark LLMs in accuracy and translation across languages
Evaluate RAG systems with visual analytics
Request model evaluation on COCO val 2017 dataset
Create and upload a Hugging Face model card
Track, rank and evaluate open LLMs and chatbots
Evaluate AI-generated results for accuracy
Evaluate open LLMs in the languages of LATAM and Spain.
Display and submit language model evaluations
Quantize a model for faster inference
Rank machines based on LLaMA 7B v2 benchmark results
Evaluate adversarial robustness using generative models
Explore and visualize diverse models
Browse and filter machine learning models by category and modality
The European Leaderboard is a benchmarking tool designed to evaluate and compare large language models (LLMs) in terms of accuracy and translation capabilities across multiple languages. It provides a comprehensive platform to assess model performance, enabling users to identify top-performing models for specific tasks and languages.
What is the main purpose of the European Leaderboard?
The primary purpose is to provide a standardized way to benchmark and compare LLMs across various European languages and tasks.
Which languages are supported by the European Leaderboard?
The tool supports a wide range of European languages, including English, French, German, Spanish, Italian, and many others. The exact list is updated regularly.
Can I benchmark my own model using European Leaderboard?
Yes, the platform allows users to submit and benchmark their own models, provided they meet the specified requirements.