Open Persian LLM Leaderboard

What is Open Persian LLM Leaderboard ?

The Open Persian LLM Leaderboard is a comprehensive benchmarking platform designed to evaluate and compare the performance of Persian language models. It provides a transparent and standardized framework for assessing models across various tasks, enabling researchers and developers to identify top-performing models for specific use cases. The leaderboard is continuously updated to reflect the latest advancements in the field of Persian natural language processing.

Features

• Model Comparison: Directly compare the performance of different Persian language models across diverse tasks.
• Task-Specific Benchmarks: Evaluate models based on their performance on specific NLP tasks such as text classification, translation, question answering, and more.
• Detailed Metrics: Access comprehensive metrics, including accuracy, F1-score, BLEU, and others, to understand model strengths and weaknesses.
• Filtering and Sorting: Easily filter and sort models based on criteria like dataset, task type, and performance.
• Visualization Tools: Utilize graphs and charts to gain insights into model performance trends over time.
• Community Contributions: Submit your own model for evaluation or contribute to the leaderboard’s datasets and metrics.

How to use Open Persian LLM Leaderboard ?

1. Access the Platform: Visit the Open Persian LLM Leaderboard website or access it via its API.
2. Select Models: Choose the models you want to compare from the available list.
3. Choose Tasks/Metrics: Select specific tasks or metrics you are interested in evaluating.
4. Compare Performance: Use the leaderboard to compare the selected models based on their performance on the chosen tasks.
5. Analyze Results: Review the detailed metrics and visualizations to gain insights into model performance.
6. Use Insights: Leverage the findings to select the best model for your specific application or research needs.

Frequently Asked Questions

What models are included in the Open Persian LLM Leaderboard?
The leaderboard includes a wide range of Persian language models, from state-of-the-art research models to open-source community models. The list is regularly updated as new models are released.

How often are the models updated?
Models are typically updated on a quarterly basis, but the leaderboard may be refreshed more frequently to include cutting-edge research advancements.

Why isn’t a specific model appearing on the leaderboard?
A model may not appear if it has not been submitted for evaluation or if it does not meet the leaderboard’s inclusion criteria. Users are encouraged to submit models for consideration.