mirror of https://github.com/leafspark/AutoGGUF
docs: changelog for v2.0.1
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CHANGELOG.md
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CHANGELOG.md
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# Changelog
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## [v2.0.1] - 2025-05-24
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### Added
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- Human readable mappings from KV pairs into model properties
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- certifi library for backend download and update checking
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- Automated checksums in CI process
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### Changed
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- Updated llama.cpp backend
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- Improved backend UI, logging, and task handling
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- Enhanced display of model properties and cleaner formatting of KV pairs
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- Updated tensor data formatting and removed redundant KV pairs property
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- Updated CUDA backend check for latest llama.cpp release format
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- Global urllib usage implementation
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- Updated README with more information about patches and updates
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- Edited quick start instructions
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- Small file formatting improvements
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### Fixed
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- Type hints corrections
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- Build errors in CI
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- `@upload-artifact` updated to v4
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## [v2.0.0] - 2025-01-27
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### Added
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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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## [v1.6.0] - 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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## [v1.5.1] - 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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### Added
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- Support loading *.gguf file types
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## [1.5.0] - 2024-08-06
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## [v1.5.0] - 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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### 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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## [v1.4.3] - 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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- 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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## [v1.4.2] - 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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### Changed
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- Minor repository changes
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## [1.4.1] - 2024-08-04
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## [v1.4.1] - 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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## [v1.4.0] - 2024-08-04
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### Added
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- LoRA Conversion:
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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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## [v1.3.1] - 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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## [v1.3.0] - 2024-08-03
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### Added
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- Support for new llama-imatrix parameters:
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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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## [v1.2.1] - 2024-08-03
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### Added
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- Refresh Models button
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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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## [v1.2.0] - 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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## [v1.1.0] - 2024-08-03
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### Added
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- Dynamic KV override functionality
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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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## [v1.0.0] - 2024-08-02
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### Added
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- Initial release
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