ea86f26af3
* feat: Updated the cloud service model list and fixed the error message in the training process service * cloud serive add * add deployed_name * add name,deploy model * add model，name * feat: Update cloud model deployment information, add deployment status and related parameters * remove qwen2.5 * feat: Updated the model name to Qwen3, adjusted related configurations and default values * refactor: simplify chat data processing and update model training configuration * Qwen 3 * feat: Add cloud service status check function to optimize model status management * chore: update API endpoints and file paths for local development environment * feat: store complete training parameters in local storage * Fix/cloud service stop (#384) * fix cloud service stop * add pending status * feature: Added pause status polling function and updated cloud training stop logic * Stop logic modification * feature: Added cloud training pause status check function to optimize training process control * fix stop * feature: Add language parameter to support multi-language training configuration * add Chinese language, fix top --------- Co-authored-by: wyx-hhhh <1360479992@qq.com> * feat: update originPrompt to simplify response structure and enhance clarity * load error --------- Co-authored-by: yanmuyuan <2216646664@qq.com> Co-authored-by: doubleBlack2 <108928143+doubleBlack2@users.noreply.github.com> |
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| gguf | ||
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| LICENSE | ||
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| README.md | ||
gguf
This is a Python package for writing binary files in the GGUF (GGML Universal File) format.
See convert_hf_to_gguf.py as an example for its usage.
Installation
pip install gguf
API Examples/Simple Tools
examples/writer.py — Generates example.gguf in the current directory to demonstrate generating a GGUF file. Note that this file cannot be used as a model.
examples/reader.py — Extracts and displays key-value pairs and tensor details from a GGUF file in a readable format.
gguf/scripts/gguf_dump.py — Dumps a GGUF file's metadata to the console.
gguf/scripts/gguf_set_metadata.py — Allows changing simple metadata values in a GGUF file by key.
gguf/scripts/gguf_convert_endian.py — Allows converting the endianness of GGUF files.
gguf/scripts/gguf_new_metadata.py — Copies a GGUF file with added/modified/removed metadata values.
Development
Maintainers who participate in development of this package are advised to install it in editable mode:
cd /path/to/llama.cpp/gguf-py
pip install --editable .
Note: This may require to upgrade your Pip installation, with a message saying that editable installation currently requires setup.py.
In this case, upgrade Pip to the latest:
pip install --upgrade pip
Automatic publishing with CI
There's a GitHub workflow to make a release automatically upon creation of tags in a specified format.
- Bump the version in
pyproject.toml. - Create a tag named
gguf-vx.x.xwherex.x.xis the semantic version number.
git tag -a gguf-v1.0.0 -m "Version 1.0 release"
- Push the tags.
git push origin --tags
Manual publishing
If you want to publish the package manually for any reason, you need to have twine and build installed:
pip install build twine
Then, follow these steps to release a new version:
- Bump the version in
pyproject.toml. - Build the package:
python -m build
- Upload the generated distribution archives:
python -m twine upload dist/*
Run Unit Tests
From root of this repository you can run this command to run all the unit tests
python -m unittest discover ./gguf-py -v
TODO
- Include conversion scripts as command line entry points in this package.