Open Persian LLM Leaderboard
Explore GenAI model efficiency on ML.ENERGY leaderboard
Persian Text Embedding Benchmark
Evaluate code generation with diverse feedback types
Optimize and train foundation models using IBM's FMS
Benchmark models using PyTorch and OpenVINO
Display model benchmark results
Search for model performance across languages and benchmarks
View and submit language model evaluations
View and submit LLM benchmark evaluations
Explore and visualize diverse models
Evaluate AI-generated results for accuracy
Create and upload a Hugging Face model card
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.