🚀 llm-evaluation - Evaluate LLMs with Confidence

📄 Description

The llm-evaluation framework is designed to help you assess and benchmark various language models. It provides tools for multi-model evaluation, clear visual dashboards, and system profiling. This framework supports academic metrics such as MMLU, TruthfulQA, and HellaSwag. With llm-evaluation, you will receive precise insights without any fake data.

🛠️ Features

• Multi-Model Benchmarking: Compare the performance of different language models side by side.
• Honest Dashboards: Visualize results in an easy-to-understand format to gain insights quickly.
• System Profiling: Analyze how your system performs during evaluations.
• Academic Metrics Support: Includes standards such as MMLU, TruthfulQA, and HellaSwag for reliable assessments.

🎯 Topics

Here are some relevant topics you can explore with this framework:

• Academic Metrics
• Benchmarking
• HellaSwag
• LLM Evaluation
• Machine Learning
• MMLU
• Ollama
• Performance Testing
• Python
• TruthfulQA
• Visualization

🚀 Getting Started

To begin using the llm-evaluation framework, follow the steps below to download and run the application.

📥 Download & Install

Visit this page to download: Releases Page

1. Go to the Releases Page.
2. Select the latest release from the list.
3. Look for the download link for your operating system (Windows, macOS, or Linux).
4. Click on the download link to save the file to your computer.
5. Once the download is complete, locate the file on your computer.
6. Double-click the file to run the application.

⚙️ System Requirements

To ensure that the llm-evaluation framework runs smoothly, your system should meet the following minimum requirements:

• Operating System: Windows 10 or later, macOS 10.14 or later, or a modern version of Linux.
• Processor: 2 GHz Dual-Core or faster.
• Memory: At least 4 GB of RAM.
• Disk Space: 200 MB of available storage.

📊 Usage Instructions

Step 1: Launch the Application

After installing, find the application icon on your desktop or in your applications folder. Click on it to open the llm-evaluation interface.

Step 2: Configure Your Benchmarks

1. In the application, select the models you want to evaluate.
2. Input any specific parameters necessary for your benchmarking.
3. Choose the academic metrics you wish to apply for the evaluation.

Step 3: Run Evaluations

Click on the "Start Evaluation" button. The application will process your request and generate results.

Step 4: View Results

Once the evaluation is complete, navigate to the dashboard within the app. Here, you will see visual representations of the model performances based on your selected metrics.

Step 5: Save or Export Results

You can save your results for future reference or export them as a CSV file for further analysis.

🛠️ Troubleshooting

If you encounter issues while using the application, consider the following tips:

1. Check Compatibility: Ensure that your operating system meets the minimum requirements listed.
2. Application Permissions: Make sure that you have the necessary permissions to run the application on your system.
3. Performance Issues: Close other applications to free up memory if the application runs slowly.

📢 Support

For any further assistance, please refer to the GitHub Issues Page to report bugs or request features.

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This README provides a complete guide to downloading and using the llm-evaluation framework. Each section helps you understand the process without overwhelming you with technical details. Embrace the power of LLM evaluation today!