Files
llama.cpp/gguf-py
Aman Gupta 8a4a856277 Add LLaDA 8b Diffusion model (#14771)
* Add support for Llada-8b: diffusion model

* Add README

* Fix README and convert_hf_to_gguf

* convert_hf_to_gguf.py: address review comments

* Make everything in a single example

* Remove model-specific sampling

* Remove unused argmax

* Remove braced initializers, improve README.md a bit

* Add diffusion specific gguf params in set_vocab, remove setting rope_theta and rms_norm_eps

* Remove adding the mask token

* Move add_add_bos_token to set_vocab

* use add_bool in gguf_writer.py
2025-07-31 19:49:09 +08:00
..
2024-12-18 19:27:21 +02:00
2023-08-25 09:26:05 +03:00

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

Optionally, you can install gguf with the extra 'gui' to enable the visual GGUF editor.

pip install gguf[gui]

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.

gguf/scripts/gguf_editor_gui.py — Allows for viewing, editing, adding, or removing metadata values within a GGUF file as well as viewing its tensors with a Qt interface.

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/*

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.