Evaluate Persian LLMs on various tasks
Browse and filter machine learning models by category and modality
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Convert and upload model files for Stable Diffusion
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Benchmark AI models by comparison
Export Hugging Face models to ONNX
View and submit LLM benchmark evaluations
Analyze model errors with interactive pages
Evaluate RAG systems with visual analytics
Convert Hugging Face models to OpenVINO format
Teach, test, evaluate language models with MTEB Arena
The 🤗 Persian LLM Leaderboard is a comprehensive platform designed to evaluate and compare Persian language models across various tasks. It provides a centralized hub for researchers and developers to assess the performance of different models in the Persian language, fostering innovation and transparency in the field of natural language processing.
• Model Comparison: Evaluate and compare the performance of multiple Persian LLMs on different tasks. • Task-Specific Benchmarks: Assess models on a variety of tasks tailored to the Persian language, such as text classification, summarization, and translation. • Detailed Metrics: Access detailed performance metrics to understand model strengths and weaknesses. • Visualizations: Interactive charts and graphs to visualize model performance and trends over time. • Regular Updates: Stay informed with the latest developments and updates in Persian LLMs. • Community-Driven: Submit your own models or results to contribute to the leaderboard.
What models are included on the leaderboard?
The leaderboard features a variety of Persian language models, including both state-of-the-art and emerging models from researchers and developers.
How are models evaluated?
Models are evaluated based on their performance on a range of tasks specific to the Persian language, using standard benchmarks and metrics.
Can I submit my own model?
Yes, you can submit your Persian LLM for evaluation. Follow the submission guidelines provided on the platform to include your model on the leaderboard.