Open Persian LLM Leaderboard
Evaluate adversarial robustness using generative models
Compare audio representation models using benchmark results
Visualize model performance on function calling tasks
Browse and submit evaluations for CaselawQA benchmarks
Upload ML model to Hugging Face Hub
Find and download models from Hugging Face
Convert Hugging Face model repo to Safetensors
Track, rank and evaluate open LLMs and chatbots
Display genomic embedding leaderboard
Launch web-based model application
Predict customer churn based on input details
Explore and visualize diverse models
The Open Persian LLM Leaderboard is a comprehensive platform designed to benchmark and evaluate Persian language models. It provides a detailed comparison of various models based on their performance on diverse Persian language tasks. The leaderboard aims to promote transparency and advance research in Persian natural language processing by offering standardized metrics and rankings.
• Model Performance Tracking: Compare the performance of different Persian language models across various tasks.
• Task-Specific Benchmarks: Evaluate models on text classification, machine translation, summarization, and more.
• Standardized Metrics: Access clear and consistent evaluation metrics for fair comparison.
• Community Contributions: Submit your own models or datasets to the leaderboard.
• Regular Updates: Stay informed with the latest developments in Persian NLP through frequent leaderboard updates.
What models are included in the Open Persian LLM Leaderboard?
The leaderboard includes a variety of Persian language models, ranging from small-scale models to state-of-the-art architectures. It also features community-submitted models.
How often is the leaderboard updated?
The leaderboard is updated regularly to reflect new models, datasets, and advancements in Persian NLP. Users are encouraged to check back frequently for the latest rankings.
Can I submit my own model to the leaderboard?
Yes, the Open Persian LLM Leaderboard is open to community contributions. Visit the platform's documentation to learn about submission guidelines and requirements.