Track, rank and evaluate open LLMs and chatbots
GIFT-Eval: A Benchmark for General Time Series Forecasting
Leaderboard of information retrieval models in French
Create and manage ML pipelines with ZenML Dashboard
Launch web-based model application
Request model evaluation on COCO val 2017 dataset
Push a ML model to Hugging Face Hub
Compare LLM performance across benchmarks
Display and submit LLM benchmarks
SolidityBench Leaderboard
View and submit machine learning model evaluations
Compare code model performance on benchmarks
Convert a Stable Diffusion XL checkpoint to Diffusers and open a PR
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.