Explore and compare LLM models through interactive leaderboards and submissions
Analyze and compare datasets, upload reports to Hugging Face
What happened in open-source AI this year, and whatβs next?
Search and save datasets generated with a LLM in real time
Analyze and visualize data with various statistical methods
Generate detailed data reports
Evaluate model predictions and update leaderboard
Explore and analyze RewardBench leaderboard data
Evaluate LLMs using Kazakh MC tasks
Predict soil shear strength using input parameters
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Create detailed data reports
Analyze data using Pandas Profiling
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.