Track, rank and evaluate open LLMs and chatbots
This is for learning purpose, don't take it seriously :)
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Display and explore model leaderboards and chat history
The Open LLM Leaderboard is a tool designed to track, rank, and evaluate open-source Large Language Models (LLMs) and chatbots. It provides a comprehensive platform for comparing and analyzing the performance of various models using standardized benchmarks. The leaderboard is community-driven, emphasizing transparency and accessibility for researchers, developers, and enthusiasts.
• Real-Time Tracking: Continuously updated rankings of open-source LLMs based on performance metrics.
• Benchmark Comparisons: Evaluate models across diverse tasks and datasets to understand their strengths and weaknesses.
• Performance Ranking: Sort models by specific capabilities, such as text generation, conversational tasks, or code understanding.
• Model Comparison: Directly compare two or more models to see differences in performance.
• Transparency: Access detailed benchmark results, model configurations, and evaluation methodologies.
• Customizable Filters: Narrow down models by parameters like size, architecture, or training data.
• Community Contributions: Submit your own model or benchmark for inclusion in the leaderboard.
What types of models are included on the Open LLM Leaderboard?
The leaderboard includes a wide range of open-source LLMs and chatbots, from small-scale models to state-of-the-art architectures.
How often are the rankings updated?
Rankings are updated regularly as new models and benchmark results are submitted to the platform.
Can I contribute my own model to the leaderboard?
Yes, the Open LLM Leaderboard encourages community contributions. Submit your model or benchmark results through the platform's submission process.