Skip to content

ModelDock V1.0.0

Choose a tag to compare

View all tags
@thebestgoodguy thebestgoodguy released this 16 May 05:20
v1.0.0
bf7851b
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.

🚀 ModelDock v1.0.0

Summary

ModelDock is an all-in-one desktop application built for AI researchers and developers. It provides a premium, high-performance interface to download, manage, and organize Hugging Face Models, Datasets, and Spaces locally with a robust queuing system.

Key Features

  • Comprehensive Downloader: Full support for Hugging Face Models, Datasets, and Spaces.
  • Advanced Queuing Engine: Manage multiple downloads simultaneously with pause, resume, and auto-retry capabilities.
  • Real-time Activity Logs: Monitor your download progress with a built-in terminal-style log viewer for granular tracking.
  • Integrated Search: Instantly discover repositories by author or ID directly within the application.
  • Local Library Management: Keep your downloaded assets organized and open local folders with a single click.
  • Customizable Performance: Configure maximum workers, speed limits, and custom download paths to suit your hardware.

UI/UX Enhancements

  • Premium Visual Identity: Brand new application icon with modern rounded corners and high-fidelity design.
  • Dynamic Interface: Fluid animations and a sleek dark mode designed for a professional workflow.
  • Optimized Navigation: Redesigned TopBar and Sidebar for seamless switching between Dashboard, Active Queue, and Library.

Installation Guide

  1. Download the ModelDock-1.0.0-Setup.exe from the assets below.
  2. Run the installer (If prompted by Windows SmartScreen, click "More Info" -> "Run Anyway").
  3. Set your preferred download directory in the Settings panel.
  4. (Optional) Add your Hugging Face Token for private repository access.

Technical Stack

  • Frontend: React + Vite + TailwindCSS (Modern SPA architecture)
  • Backend: Node.js (Express) + SQLite (Persistent queue and history)
  • Desktop Layer: Electron (Native Windows integration)
  • Core Engine: Optimized Python-based downloader for maximum throughput.
Assets 3
Loading