Demo of the new, massively multilingual leaderboard
Display LLM benchmark leaderboard and info
Load AI models and prepare your space
Benchmark AI models by comparison
Measure over-refusal in LLMs using OR-Bench
Generate and view leaderboard for LLM evaluations
Explore GenAI model efficiency on ML.ENERGY leaderboard
Display and filter leaderboard models
Explore and submit models using the LLM Leaderboard
Browse and submit language model benchmarks
Explore and visualize diverse models
Evaluate adversarial robustness using generative models
Merge Lora adapters with a base model
Leaderboard 2 Demo is a demo version of the new, massively multilingual leaderboard designed for benchmarking AI models. It allows users to select and customize benchmark tests for multilingual evaluation, providing insights into model performance across various languages and tasks. This tool is ideal for researchers and developers looking to test and compare AI models in diverse linguistic contexts.
• Multilingual Support: Evaluate models across multiple languages and dialects. • Customizable Benchmarks: Select specific tests tailored to your evaluation needs. • Advanced Scoring: Automated scoring system for consistent and accurate results. • Detailed Analysis: Gain insights into model performance with comprehensive metrics. • User-Friendly Interface: Intuitive design simplifies the benchmarking process.
What languages are supported in Leaderboard 2 Demo?
Leaderboard 2 Demo supports a massively multilingual set of languages, including but not limited to major languages like English, Spanish, Mandarin, Arabic, and many more.
Can I customize the benchmark tests?
Yes, Leaderboard 2 Demo allows users to select and customize specific test cases and benchmarks to suit their evaluation needs.
How do I access the benchmark results?
Results can be accessed directly within the demo interface. Detailed metrics and analysis are provided for each benchmark test, and results can also be exported for external use.