Explore and filter model evaluation results
This project is a GUI for the gpustack/gguf-parser-go
Build, preprocess, and train machine learning models
Generate synthetic dataset files (JSON Lines)
Create a detailed report from a dataset
Make RAG evaluation dataset. 100% compatible to AutoRAG
Analyze data to generate a comprehensive profile report
Generate benchmark plots for text generation models
Browse and submit evaluation results for AI benchmarks
Display a welcome message on a webpage
Leaderboard for text-to-video generation models
Execute commands and visualize data
Embed and use ZeroEval for evaluation tasks
GTBench is a powerful data visualization tool designed to help users explore and filter model evaluation results. It provides an interactive interface to analyze and compare performance metrics, making it easier to understand and optimize AI models.
• Interactive Dashboards: Visualize evaluation results in a user-friendly dashboard
• Advanced Filtering: Easily filter results based on specific criteria
• Comparison Tools: Compare multiple models or iterations side-by-side
• Custom Visualizations: Generate tailored charts and graphs
• Model Support: Compatible with a wide range of AI and machine learning models
• Integration Capabilities: Seamless integration with popular data sources
What systems does GTBench support?
GTBench is designed to work with popular operating systems, including Windows, macOS, and Linux.
Can I use GTBench for models outside of AI?
While GTBench is optimized for AI models, it can be adapted for other types of model evaluations with proper configuration.
Where can I find help if I encounter issues with GTBench?
Visit the official GTBench documentation or community forums for troubleshooting and support.