9c4c9cc83f
* Move convert.py to examples/convert-no-torch.py * Fix CI, scripts, readme files * convert-no-torch -> convert-legacy-llama * Move vocab thing to vocab.py * Fix convert-no-torch -> convert-legacy-llama * Fix lost convert.py in ci/run.sh * Fix imports * Fix gguf not imported correctly * Fix flake8 complaints * Fix check-requirements.sh * Get rid of ADDED_TOKENS_FILE, FAST_TOKENIZER_FILE * Review fixes |
||
---|---|---|
.. | ||
examples | ||
gguf | ||
scripts | ||
tests | ||
LICENSE | ||
pyproject.toml | ||
README.md |
gguf
This is a Python package for writing binary files in the GGUF (GGML Universal File) format.
See convert-llama-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.
scripts/gguf-dump.py — Dumps a GGUF file's metadata to the console.
scripts/gguf-set-metadata.py — Allows changing simple metadata values in a GGUF file by key.
scripts/gguf-convert-endian.py — Allows converting the endianness of GGUF files.
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.x
wherex.x.x
is 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/*
TODO
- Add tests
- Include conversion scripts as command line entry points in this package.