This project is a GUI for the gpustack/gguf-parser-go
Generate a data profile report
Try the Hugging Face API through the playground
Calculate VRAM requirements for running large language models
Analyze and visualize data with various statistical methods
Monitor application health
Create a detailed report from a dataset
statistics analysis for linear regression
Transfer GitHub repositories to Hugging Face Spaces
Explore and analyze RewardBench leaderboard data
Explore how datasets shape classifier biases
Predict linear relationships between numbers
Execute commands and visualize data
GGUF Parser Web is a graphical user interface (GUI) designed for the gguf-parser-go tool. It simplifies the analysis of GGUF model files by providing an intuitive interface to extract and visualize GPU metrics. This tool is ideal for developers and researchers who need to optimize GPU performance and understand internal GPU operations.
• User-Friendly Interface: Easy-to-use GUI for non-technical users. • Batch Processing Support: Analyze multiple GGUF files simultaneously. • Real-Time Visualization: Visualize GPU metrics and performance data in real-time. • Cross-Platform Compatibility: Runs on Windows, Linux, and macOS. • Integration with Command-Line Tools: Leverage the power of gguf-parser-go with a graphical interface. • Extensive Metric Reporting: Gain detailed insights into GPU utilization and performance bottlenecks.
What is the purpose of GGUF Parser Web?
GGUF Parser Web is designed to simplify the analysis of GGUF model files for GPU metrics, providing a user-friendly alternative to command-line tools.
Can I use GGUF Parser Web on all operating systems?
Yes, GGUF Parser Web is cross-platform and supports Windows, Linux, and macOS.
How do I install GGUF Parser Web?
To install, clone the repository and follow the provided installation instructions, which may include Docker or Node.js setup depending on your system.