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llama.cpp/gguf-py
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Brian f7cab35ef9
gguf-hash: model wide and per tensor hashing using xxhash and sha1 (#8048) 
CLI to hash GGUF files to detect difference on a per model and per tensor level

The hash type we support is:

- `--xxh64`: use xhash 64bit hash mode (default)
- `--sha1`: use sha1
- `--uuid`: use uuid
- `--sha256`: use sha256

While most POSIX systems already have hash checking programs like sha256sum, it
is designed to check entire files. This is not ideal for our purpose if we want
to check for consistency of the tensor data even if the metadata content of the
gguf KV store has been updated.

This program is designed to hash a gguf tensor payload on a 'per tensor layer'
in addition to a 'entire tensor model' hash. The intent is that the entire
tensor layer can be checked first but if there is any detected inconsistencies,
then the per tensor hash can be used to narrow down the specific tensor layer
that has inconsistencies.

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-07-07 22:58:43 +10:00
..
examples convert.py : add python logging instead of print() (#6511) 2024-05-03 22:36:41 +03:00
gguf llama : support glm3 and glm4 (#8031) 2024-07-07 15:52:10 +03:00
scripts gguf-hash: model wide and per tensor hashing using xxhash and sha1 (#8048) 2024-07-07 22:58:43 +10:00
tests gguf-py: Refactor and allow reading/modifying existing GGUF files (#3981) 2023-11-11 08:04:50 +03:00
LICENSE gguf : make gguf pip-installable 2023-08-25 09:26:05 +03:00
pyproject.toml convert-hf : save memory with lazy evaluation (#7075) 2024-05-08 18:16:38 -04:00
README.md py : switch to snake_case (#8305) 2024-07-05 07:53:33 +03:00

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.

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.

  1. Bump the version in pyproject.toml.
  2. Create a tag named gguf-vx.x.x where x.x.x is the semantic version number.
git tag -a gguf-v1.0.0 -m "Version 1.0 release"
  1. 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:

  1. Bump the version in pyproject.toml.
  2. Build the package:
python -m build
  1. Upload the generated distribution archives:
python -m twine upload dist/*

TODO

  • Add tests
  • Include conversion scripts as command line entry points in this package.