Open LLM Leaderboard Renamer

What is Open LLM Leaderboard Renamer ?

The Open LLM Leaderboard Renamer is a tool designed to rename models in a dataset leaderboard. It simplifies the process of organizing and standardizing model names, making it easier to analyze and compare performance across different models.

Features

• Streamlined Renaming: Quickly rename models in your dataset leaderboard to maintain consistency.
• Standardization: Apply uniform naming conventions across all models for better readability.
• Compatibility: Works seamlessly with datasets hosted on platforms like Hugging Face.

How to use Open LLM Leaderboard Renamer ?

1. Install the Tool: Install the Open LLM Leaderboard Renamer using pip or your preferred package manager.
2. Import the Library: Import the renamer into your Python script or notebook.
3. Load Your Dataset: Load the dataset containing the leaderboard data you wish to modify.
4. Apply Renaming: Use the renamer to update model names according to your specified rules or conventions.
5. Save Changes: Export or save the updated dataset with the new model names.

Frequently Asked Questions

1. Why should I use Open LLM Leaderboard Renamer?
The tool helps maintain consistency and clarity in model naming, which is essential for accurate comparisons and analysis.

2. Can I use this tool with datasets not hosted on Hugging Face?
Yes, the Open LLM Leaderboard Renamer is designed to work with any dataset leaderboard, regardless of the hosting platform.

3. How do I report bugs or request features?
You can submit issues or feature requests directly through the tool's repository or support channel.