Track, rank and evaluate open LLMs and chatbots
View and submit machine learning model evaluations
Calculate memory needed to train AI models
Convert Hugging Face models to OpenVINO format
Calculate VRAM requirements for LLM models
Teach, test, evaluate language models with MTEB Arena
Explain GPU usage for model training
Evaluate adversarial robustness using generative models
Convert PyTorch models to waifu2x-ios format
Text-To-Speech (TTS) Evaluation using objective metrics.
Submit models for evaluation and view leaderboard
Upload a machine learning model to Hugging Face Hub
View and compare language model evaluations
The Open LLM Leaderboard is a comprehensive platform designed to track, rank, and evaluate open large language models (LLMs) and chatbots. It serves as a community-driven resource that provides benchmarking metrics and performance comparisons to help users make informed decisions about which models to use. The leaderboard is free to access and regularly updated to reflect the latest advancements in the field of AI.
• Real-time Benchmarking: Access the latest performance metrics of various open LLMs. • Interactive Visualizations: Explore model comparisons through charts and graphs. • Customizable Filters: Sort models based on specific criteria like model size, architecture, and use case. • Model Comparisons: Directly compare multiple models side-by-side. • Community Contributions: Users can submit feedback and suggestions to improve the leaderboard. • Transparency: Detailed methodology and data sources are openly available.
What is the purpose of the Open LLM Leaderboard?
The purpose is to provide a transparent and community-driven platform for comparing and evaluating open large language models and chatbots. It helps users identify the best models for their specific needs.
How are models ranked on the leaderboard?
Models are ranked based on benchmarking metrics, including performance in tasks like text generation, conversational AI, and specific use cases. Rankings are updated regularly as new models emerge.
Is the Open LLM Leaderboard free to use?
Yes, the Open LLM Leaderboard is completely free to access and use. It is designed to support the open-source AI community and facilitate innovation.