mirror of https://github.com/leafspark/AutoGGUF
111 lines
4.4 KiB
Markdown
111 lines
4.4 KiB
Markdown
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# AutoGGUF - automated GGUF model quantizer
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AutoGGUF provides a graphical user interface for quantizing GGUF models
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using the llama.cpp library. It allows users to download different versions of
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llama.cpp, manage multiple backends, and perform quantization tasks with various
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options.
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## Features:
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1. Download and manage llama.cpp backends
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2. Select and quantize GGUF models
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3. Configure quantization parameters
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4. Monitor system resources during quantization
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## Usage:
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**Cross platform**:
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1. Install dependencies, either using the `requirements.txt` file or `pip install PyQt6 requests psutil`.
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2. Run the `run.bat` script to start the application, or run the command `python src/main.py`.
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**Windows**:
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1. Download latest release, extract all to folder and run `AutoGGUF.exe`
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2. Enjoy!
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## Building:
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**Cross platform**:
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```bash
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cd src
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pip install -U pyinstaller
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pyinstaller main.py --onefile
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cd dist/main
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./main
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```
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**Windows**:
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```bash
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build RELEASE/DEV
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```
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Find exe in `build/<type>/dist/AutoGGUF.exe`.
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## Dependencies:
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- PyQt6
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- requests
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- psutil
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- shutil
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- OpenSSL
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## Localizations:
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The following languages are currently supported (machine translated, except for English):
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```python
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{
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'en-US': _English, # American English
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'fr-FR': _French, # Metropolitan French
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'zh-CN': _SimplifiedChinese, # Simplified Chinese
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'es-ES': _Spanish, # Spanish (Spain)
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'hi-IN': _Hindi, # Hindi (India)
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'ru-RU': _Russian, # Russian (Russia)
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'uk-UA': _Ukrainian, # Ukrainian (Ukraine)
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'ja-JP': _Japanese, # Japanese (Japan)
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'de-DE': _German, # German (Germany)
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'pt-BR': _Portuguese, # Portuguese (Brazil)
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'ar-SA': _Arabic, # Arabic (Saudi Arabia)
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'ko-KR': _Korean, # Korean (Korea)
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'it-IT': _Italian, # Italian (Italy)
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'tr-TR': _Turkish, # Turkish (Turkey)
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'nl-NL': _Dutch, # Dutch (Netherlands)
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'fi-FI': _Finnish, # Finnish (Finland)
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'bn-BD': _Bengali, # Bengali (Bangladesh)
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'cs-CZ': _Czech, # Czech (Czech Republic)
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'pl-PL': _Polish, # Polish (Poland)
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'ro-RO': _Romanian, # Romanian (Romania)
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'el-GR': _Greek, # Greek (Greece)
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'pt-PT': _Portuguese_PT, # Portuguese (Portugal)
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'hu-HU': _Hungarian, # Hungarian (Hungary)
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'en-GB': _BritishEnglish, # British English
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'fr-CA': _CanadianFrench, # Canadian French
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'en-IN': _IndianEnglish, # Indian English
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'en-CA': _CanadianEnglish, # Canadian English
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'zh-TW': _TraditionalChinese, # Traditional Chinese (Taiwan)
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}
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```
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In order to use them, please set the `AUTOGGUF_LANGUAGE` environment variable to one of the listed language codes.
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## Issues:
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- Actual progress bar tracking
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- Download safetensors from HF and convert to unquanted GGUF
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- Perplexity testing
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- ~~Cannot disable llama.cpp update check on startup~~ (fixed in v1.3.1)
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- ~~`_internal` directory required, will see if I can package this into a single exe on the next release~~ (fixed in v1.3.1)
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- ~~Custom command line parameters~~ (added in v1.3.0)
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- ~~More iMatrix generation parameters~~ (added in v1.3.0)
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- ~~Specify multiple KV overrides~~ (added in v1.1.0)
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- ~~Better error handling~~ (added in v1.1.0)
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- ~~Cannot select output/token embd type~~ (fixed in v1.1.0)
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- ~~Importing presets with KV overrides causes UI thread crash~~ (fixed in v1.3.0)
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## Prerelease issues:
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- Base Model label persists even when GGML type is selected
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## Troubleshooting:
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- ~~llama.cpp quantizations errors out with an iostream error: create the `quantized_models` directory (or set a directory)~~ (fixed in v1.2.1, automatically created on launch)
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- SSL module cannot be found error: Install OpenSSL or run from source `python src/main.py` using the `run.bat` script (`pip install requests`)
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## User interface:
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## Stargazers:
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[](https://star-history.com/#leafspark/AutoGGUF&Date)
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