Display and submit language model evaluations
Display genomic embedding leaderboard
Compare code model performance on benchmarks
View and submit LLM evaluations
Display and filter leaderboard models
Visualize model performance on function calling tasks
Retrain models for new data at edge devices
Run benchmarks on prediction models
Browse and submit model evaluations in LLM benchmarks
Rank machines based on LLaMA 7B v2 benchmark results
Compare model weights and visualize differences
View and submit machine learning model evaluations
Convert Hugging Face models to OpenVINO format
Leaderboard is a platform designed for model benchmarking, allowing users to display and submit language model evaluations. It serves as a centralized tool for comparing and tracking the performance of different AI models, providing insights into their capabilities and improvements over time.
What is the purpose of Leaderboard?
Leaderboard is a tool for benchmarking language models, enabling users to compare and track model performance in a structured manner.
How do I submit my model's evaluation?
To submit your model's evaluation, follow the guidelines provided on the platform, ensuring your data is in the correct format and includes all required metrics.
What are the benefits of using Leaderboard?
Using Leaderboard allows you to gain insights into your model's performance, identify areas for improvement, and benchmark against industry standards and other models.