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* add placeholder of starcoder in gguf / llama.cpp * support convert starcoder weights to gguf * convert MQA to MHA * fix ffn_down name * add LLM_ARCH_STARCODER to llama.cpp * set head_count_kv = 1 * load starcoder weight * add max_position_embeddings * set n_positions to max_positioin_embeddings * properly load all starcoder params * fix head count kv * fix comments * fix vram calculation for starcoder * store mqa directly * add input embeddings handling * add TBD * working in cpu, metal buggy * cleanup useless code * metal : fix out-of-bounds access in soft_max kernels * llama : make starcoder graph build more consistent with others * refactor: cleanup comments a bit * add other starcoder models: 3B, 7B, 15B * support-mqa-directly * fix: remove max_position_embeddings, use n_train_ctx * Update llama.cpp Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update llama.cpp Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Apply suggestions from code review Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * fix: switch to space from tab --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> |
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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
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, folow 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.
- Add CI workflow for releasing the package.