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AutoGGUF
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AutoGGUF/CHANGELOG.md

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Changelog

All notable changes to this project will be documented in this file.

[1.5.0] - 2024-08-06

Changed

Refactor localizations to use them in HF conversion area Organize localizations

Added

Add sha256 and PGP signatures (same as commit ones) Add HuggingFace to GGUF conversion support

Fixed

Fix scaling on low resolution screens, interface now scrolls

[1.4.3] - 2024-08-05

Changed

  • Updated src file in release to be Black formatted
  • Modifying the quantize_model function to process all selected types
  • Updating preset saving and loading to handle multiple quantization types
  • Use ERROR and IN_PROGRESS constants from localizations in QuantizationThread
  • Minor repository changes

Added

  • Added model sharding management support
  • Allow multiple quantization types to be selected and started simultaneously

[1.4.2] - 2024-08-04

Fixed

  • Resolves bug where Base Model text was shown even when GGML type was selected
  • Improved alignment

Changed

  • Minor repository changes

[1.4.1] - 2024-08-04

Added

  • Dynamic KV Overrides (see wiki: AutoGGUF/wiki/Dynamic-KV-Overrides)
  • Quantization commands are now printed and logged

[1.4.0] - 2024-08-04

Added

  • LoRA Conversion:
    • New section for converting HuggingFace PEFT LoRA adapters to GGML/GGUF
    • Output type selection (GGML or GGUF)
    • Base model selection for GGUF output
    • LoRA adapter list with individual scaling factors
    • Export LoRA section for merging adapters into base model
  • UI Improvements:
    • Updated task names in task list
    • IMatrix generation check
    • Larger window size
    • Added exe favicon
  • Localization:
    • French and Simplified Chinese support for LoRA and "Refresh Models" strings
  • Code and Build:
    • Code organization improvements
    • Added build script
    • .gitignore file
  • Misc:
    • Currently includes src folder with conversion tools
    • No console window popup

[1.3.1] - 2024-08-04

Added

  • AUTOGGUF_CHECK_BACKEND environment variable to disable backend check on start

Changed

  • --onefile build with PyInstaller, _internal directory is no longer required

[1.3.0] - 2024-08-03

Added

  • Support for new llama-imatrix parameters:
    • Context size (--ctx-size) input
    • Threads (--threads) control
  • New parameters to IMatrix section layout
  • Slider-spinbox combination for thread count selection
  • QSpinBox for output frequency input (1-100 range with percentage suffix)

Changed

  • Converted context size input to a QSpinBox
  • Updated generate_imatrix() method to use new UI element values
  • Improved error handling in preset loading
  • Enhanced localization support for new UI elements

Fixed

  • Error when loading presets containing KV overrides

Removed

  • Duplicated functions

[1.2.1] - 2024-08-03

Added

  • Refresh Models button
  • Linux build (built on Ubuntu 24.04 LTS)

Fixed

  • iostream llama.cpp issue, quantized_models directory created on launch

[1.2.0] - 2024-08-03

Added

  • More robust logging (find logs at latest_.log in logs folder)
  • Localizations with support for 28 languages (machine translated using Gemini Experimental 0801)

[1.1.0] - 2024-08-03

Added

  • Dynamic KV override functionality
  • Improved CUDA checking ability and extraction to the backend folder
  • Scrollable area for KV overrides with add/delete capabilities

Changed

  • Enhanced visibility and usability of Output Tensor Type and Token Embedding Type options
  • Refactored code for better modularity and reduced circular dependencies

Fixed

  • Behavior of Output Tensor Type and Token Embedding Type dropdown menus
  • Various minor UI inconsistencies

[1.0.1] - 2024-08-02

Added

  • Windows binary (created using PyInstaller)

Fixed

  • Issue where quantization errored with "AutoGGUF does not have x attribute"

[1.0.0] - 2024-08-02

Added

  • Initial release
  • 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
  • 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
  • Detailed model information dialog
  • Error handling and user notifications
  • Confirmation dialogs for task deletion and application exit