mirror of https://github.com/leafspark/AutoGGUF
230 lines
6.4 KiB
Markdown
230 lines
6.4 KiB
Markdown
# Changelog
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## [v1.7.0] - 2024-08-16
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### Added
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- Menu bar with Close and About options
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- Program version in localizations.py
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- Support for 32-bit builds
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- Added dependency audit
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- Implemented radon, dependabot, and pre-commit workflows
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### Changed
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- Updated torch requirement from `~=1.13.1` to `~=2.4.0`
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- Updated psutil requirement from `~=5.9.8` to `~=6.0.0`
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- Refactored functions out of AutoGGUF.py and moved to ui_update.py
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- Changed filenames to follow PEP 8 conventions
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- Disabled .md and .txt CodeQL analysis
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### Fixed
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- Optimized imports in AutoGGUF.py
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- Updated README with new version and styled screenshot
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- Fixed image blur in documentation
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## [v1.6.2] - 2024-08-15
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### Added
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- Server functionality with new endpoints:
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- `/v1/backends`: Lists all backends and their paths
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- `/v1/health`: Heartbeat endpoint
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- `/v1/tasks`: Provides current task info (name, status, progress, log file)
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- `/v1/models`: Retrieves model details (name, type, path, shard status)
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- Environment variable support for server configuration:
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- `AUTOGGUF_SERVER`: Enable/disable server (true/false)
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- `AUTOGGUF_SERVER_PORT`: Set server port (integer)
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### Changed
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- Updated AutoGGUF docstrings
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- Refactored build scripts
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### Fixed
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- Set GGML types to lowercase in command builder
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## [v1.6.1] - 2024-08-12
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### Added
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- Optimized build scripts
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- Nuitka for building
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### Changed
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- Updated .gitignore
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### Fixed
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- Bug where deletion while a task is running crashes the program
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### Notes
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- Fast build: Higher unzipped size (97MB), smaller download (38MB)
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- Standard build: Created with PyInstaller, medium download and unzipped size (50MB), potentially slower
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## [1.6.0] - 2024-08-08
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### Changed
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- Resolve licensing issues by using PySide6
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### Added
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- Add GPU monitoring support for NVIDIA GPUs
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## [1.5.1] - 2024-08-08
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### Changed
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- Refactor localizations to use them in HF conversion area
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- Rename FAILED_LOAD_PRESET to FAILED_TO_LOAD_PRESET localization key
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### Removed
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- Remove Save Preset context menu action
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### Added
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- Support loading *.gguf file types
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## [1.5.0] - 2024-08-06
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### Changed
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- Refactor localizations to use them in HF conversion area
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- Organize localizations
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### Added
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- Add sha256 and PGP signatures (same as commit ones)
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- Add HuggingFace to GGUF conversion support
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### Fixed
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- Fix scaling on low resolution screens, interface now scrolls
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## [1.4.3] - 2024-08-05
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### Changed
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- Updated src file in release to be Black formatted
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- Modifying the quantize_model function to process all selected types
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- Updating preset saving and loading to handle multiple quantization types
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- Use ERROR and IN_PROGRESS constants from localizations in QuantizationThread
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- Minor repository changes
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### Added
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- Added model sharding management support
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- Allow multiple quantization types to be selected and started simultaneously
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## [1.4.2] - 2024-08-04
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### Fixed
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- Resolves bug where Base Model text was shown even when GGML type was selected
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- Improved alignment
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### Changed
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- Minor repository changes
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## [1.4.1] - 2024-08-04
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### Added
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- Dynamic KV Overrides (see wiki: AutoGGUF/wiki/Dynamic-KV-Overrides)
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- Quantization commands are now printed and logged
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## [1.4.0] - 2024-08-04
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### Added
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- LoRA Conversion:
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- New section for converting HuggingFace PEFT LoRA adapters to GGML/GGUF
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- Output type selection (GGML or GGUF)
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- Base model selection for GGUF output
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- LoRA adapter list with individual scaling factors
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- Export LoRA section for merging adapters into base model
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- UI Improvements:
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- Updated task names in task list
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- IMatrix generation check
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- Larger window size
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- Added exe favicon
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- Localization:
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- French and Simplified Chinese support for LoRA and "Refresh Models" strings
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- Code and Build:
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- Code organization improvements
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- Added build script
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- .gitignore file
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- Misc:
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- Currently includes src folder with conversion tools
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- No console window popup
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## [1.3.1] - 2024-08-04
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### Added
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- AUTOGGUF_CHECK_BACKEND environment variable to disable backend check on start
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### Changed
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- --onefile build with PyInstaller, _internal directory is no longer required
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## [1.3.0] - 2024-08-03
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### Added
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- Support for new llama-imatrix parameters:
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- Context size (--ctx-size) input
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- Threads (--threads) control
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- New parameters to IMatrix section layout
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- Slider-spinbox combination for thread count selection
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- QSpinBox for output frequency input (1-100 range with percentage suffix)
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### Changed
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- Converted context size input to a QSpinBox
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- Updated generate_imatrix() method to use new UI element values
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- Improved error handling in preset loading
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- Enhanced localization support for new UI elements
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### Fixed
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- Error when loading presets containing KV overrides
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### Removed
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- Duplicated functions
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## [1.2.1] - 2024-08-03
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### Added
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- Refresh Models button
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- Linux build (built on Ubuntu 24.04 LTS)
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### Fixed
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- iostream llama.cpp issue, quantized_models directory created on launch
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## [1.2.0] - 2024-08-03
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### Added
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- More robust logging (find logs at latest_<timestamp>.log in logs folder)
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- Localizations with support for 28 languages (machine translated using Gemini Experimental 0801)
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## [1.1.0] - 2024-08-03
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### Added
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- Dynamic KV override functionality
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- Improved CUDA checking ability and extraction to the backend folder
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- Scrollable area for KV overrides with add/delete capabilities
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### Changed
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- Enhanced visibility and usability of Output Tensor Type and Token Embedding Type options
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- Refactored code for better modularity and reduced circular dependencies
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### Fixed
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- Behavior of Output Tensor Type and Token Embedding Type dropdown menus
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- Various minor UI inconsistencies
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## [1.0.1] - 2024-08-02
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### Added
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- Windows binary (created using PyInstaller)
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### Fixed
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- Issue where quantization errored with "AutoGGUF does not have x attribute"
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## [1.0.0] - 2024-08-02
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### Added
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- Initial release
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- GUI interface for automated GGUF model quantization
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- System resource monitoring (RAM and CPU usage)
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- Llama.cpp backend selection and management
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- Automatic download of llama.cpp releases from GitHub
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- Model selection from local directory
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- Comprehensive quantization options
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- Task list for managing multiple quantization jobs
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- Real-time log viewing for quantization tasks
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- IMatrix generation feature with customizable settings
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- GPU offload settings for IMatrix generation
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- Context menu for task management
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- Detailed model information dialog
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- Error handling and user notifications
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- Confirmation dialogs for task deletion and application exit
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