Track, rank and evaluate open LLMs and chatbots
Merge machine learning models using a YAML configuration file
Compare LLM performance across benchmarks
Display benchmark results
Measure execution times of BERT models using WebGPU and WASM
Visualize model performance on function calling tasks
Benchmark models using PyTorch and OpenVINO
View and compare language model evaluations
Calculate VRAM requirements for LLM models
Load AI models and prepare your space
Evaluate open LLMs in the languages of LATAM and Spain.
Convert and upload model files for Stable Diffusion
Rank machines based on LLaMA 7B v2 benchmark results
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.