Explore and compare LLM models through interactive leaderboards and submissions
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Predict linear relationships between numbers
M-RewardBench Leaderboard
Evaluate diversity in data sets to improve fairness
Generate detailed data reports
Build, preprocess, and train machine learning models
Leaderboard for text-to-video generation models
Explore income data with an interactive visualization tool
This is AI app that help to chat with your CSV & Excel.
Explore how datasets shape classifier biases
What happened in open-source AI this year, and whatβs next?
View and compare pass@k metrics for AI models
The Open Japanese LLM Leaderboard is a comprehensive tool designed to explore and compare large language models (LLMs), with a specific focus on Japanese language support. It provides an interactive platform to evaluate and benchmark different LLMs, helping researchers, developers, and users understand their capabilities and performance.
What is the purpose of the Open Japanese LLM Leaderboard?
The leaderboard aims to provide a transparent and standardized way to compare and evaluate large language models, particularly those focused on Japanese language tasks.
How often is the leaderboard updated?
The leaderboard is regularly updated with new models and benchmark results to reflect the latest advancements in LLM development.
Can I submit a model that does not support Japanese?
While the leaderboard specializes in Japanese language models, submissions of non-Japanese models are accepted but may not be fully optimized for the platform's focus areas.