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Model Benchmarking
๐Ÿค— Persian LLM Leaderboard

๐Ÿค— Persian LLM Leaderboard

Evaluate Persian LLMs on various tasks

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What is ๐Ÿค— Persian LLM Leaderboard ?

The ๐Ÿค— 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.

Features

โ€ข Model Comparison: Evaluate and compare the performance of multiple Persian LLMs on different tasks. โ€ข Task-Specific Benchmarks: Assess models on a variety of tasks tailored to the Persian language, such as text classification, summarization, and translation. โ€ข Detailed Metrics: Access detailed performance metrics to understand model strengths and weaknesses. โ€ข Visualizations: Interactive charts and graphs to visualize model performance and trends over time. โ€ข Regular Updates: Stay informed with the latest developments and updates in Persian LLMs. โ€ข Community-Driven: Submit your own models or results to contribute to the leaderboard.

How to use ๐Ÿค— Persian LLM Leaderboard ?

  1. Visit the Platform: Go to the ๐Ÿค— Persian LLM Leaderboard website or platform.
  2. Explore Models: Browse the list of available models and their performance metrics.
  3. Filter by Task: Select specific tasks to see how models perform in areas relevant to your needs.
  4. Compare Models: Use the comparison tools to directly evaluate performance differences between models.
  5. Analyze Results: Review detailed metrics and visualizations to understand model capabilities.
  6. Submit Your Model: If you have a Persian LLM, follow the guidelines to submit it for evaluation and inclusion on the leaderboard.

Frequently Asked Questions

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.

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