v1.0.0

AutoGGUF initial release

Changelog

Added:

• GUI interface for automated GGUF model quantization
• System resource monitoring (RAM and CPU usage)
• Llama.cpp backend selection and management
• Automatic download of llama.cpp releases from GitHub
• Model selection from local directory
• Comprehensive quantization options:
  • Quantization type selection
  • Allow requantize option
  • Leave output tensor option
  • Pure quantization option
  • IMatrix support
  • Include/exclude weights options
  • Output tensor type selection
  • Token embedding type selection
  • Keep split option
  • Override KV option
• Task list for managing multiple quantization jobs
• Real-time log viewing for quantization tasks
• IMatrix generation feature with customizable settings
• GPU offload settings for IMatrix generation
• Context menu for task management (Properties, Cancel, Retry, Delete)
• Detailed model information dialog
• Error handling and user notifications
• Confirmation dialogs for task deletion and application exit

Full Changelog: https://github.com/leafspark/AutoGGUF/commits/v1.0.0