Track, rank and evaluate open LLMs and chatbots
View LLM Performance Leaderboard
Compare LLM performance across benchmarks
View and submit language model evaluations
Display model benchmark results
Explain GPU usage for model training
Create demo spaces for models on Hugging Face
Calculate survival probability based on passenger details
Run benchmarks on prediction models
Generate and view leaderboard for LLM evaluations
Compare code model performance on benchmarks
Calculate VRAM requirements for LLM models
View and submit LLM benchmark evaluations
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.