dc07dc492e
* convert: Fix permute calls and method/func definitions * Cleanups for gguf-py * Minor types cleanups. * Initial implementation of handling merges and special tokens * convert: Handle special tokens and merges in vocab only mode convert: Vocab only mode no longer requires loading model tensors * gguf: Refactor tensor name mapping * convert: Fix type hint for special_token_types in SpecialVocab * Use common special vocab handling in various conversion scripts * First pass at implementing suggested changes * Second pass * gguf: SpecialVocab: Fix issue with special token content not in a dict gguf: SpecialVocab: Allow skipping handling of merges * convert-falcon-hf-to-gguf: Support --vocab-only option, bail out if no tokenizer.json * convert-gptneox-hf-to-gguf and convert: Only handle merges for BPE tokenizer * gguf: SpecialVocab: Actually set load_merges in object * Uniform args parsing and vocab only mode for convert examples * convert.py: Set gpt2 as tokenizer model when using BPE * Squish last type warning in gguf.py - yay! |
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| gguf | ||
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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-llama-hf-to-gguf.py as an example for its usage.
Installation
pip install gguf
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
Publishing
To publish the package, you need to have twine and build installed:
pip install build twine
Then, folow these steps to release a new version:
- Update 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.
- Add CI workflow for releasing the package.