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Data Visualization
GGUF Parser Web

GGUF Parser Web

This project is a GUI for the gpustack/gguf-parser-go

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What is GGUF Parser Web ?

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.

Features

• 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.

How to use GGUF Parser Web ?

  1. Install Dependencies: Ensure you have Docker or Node.js installed on your system.
  2. Download and Install: Clone the repository and follow the installation instructions.
  3. Launch the Application: Run the GUI application using the provided script.
  4. Upload GGUF Files: Select or drag-and-drop GGUF files for analysis.
  5. Analyze and Visualize: Click "Parse" to process files and view GPU metrics in real-time.
  6. Export Results: Save analysis results for further review or reporting.

Frequently Asked Questions

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.

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