Track, rank and evaluate open LLMs and chatbots
Display benchmark results
Explore and benchmark visual document retrieval models
Evaluate adversarial robustness using generative models
Create and manage ML pipelines with ZenML Dashboard
Convert Stable Diffusion checkpoint to Diffusers and open a PR
Generate leaderboard comparing DNA models
Calculate VRAM requirements for LLM models
Teach, test, evaluate language models with MTEB Arena
Evaluate model predictions with TruLens
View and compare language model evaluations
Submit models for evaluation and view leaderboard
Evaluate code generation with diverse feedback types
The Open LLM Leaderboard is a comprehensive tool designed to track, rank, and evaluate open-source Large Language Models (LLMs) and chatbots. It provides a transparent and standardized platform to compare models based on various benchmarks and metrics, helping developers, researchers, and users make informed decisions. By focusing on performance, efficiency, and capabilities, the Leaderboard serves as a go-to resource for understanding the evolution and advancements in the field of LLMs.
What metrics are used to rank LLMs? The Leaderboard uses a variety of metrics, including performance benchmarks, speed, memory usage, and specific task accuracy to ensure a holistic evaluation of each model.
Can I compare custom or non-listed models? Yes, the platform allows users to input custom models for comparison, providing flexibility for researchers and developers working on niche or proprietary LLMs.
How often is the Leaderboard updated? The Leaderboard is updated regularly to reflect new releases and improvements in existing models, ensuring users always have access to the latest information.