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Daniel Bevenius 4fbd8098e6
gguf : add special tokens metadata for FIM/Infill (#6689) 
This commit adds special token metadata for Fill-In-the-Middle
(FIM)/Infill to the GGUF model.

The motivation for this is that currently there is support for CodeLlama
but other models exist now like CodeGemma, but the different models use
different token ids for the special tokens and this commit allows for
supporting multiple models.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-04-16 09:13:13 +03:00
..
examples gguf : add python reader example (#5216) 2024-02-13 19:56:38 +02:00
gguf gguf : add special tokens metadata for FIM/Infill (#6689) 2024-04-16 09:13:13 +03:00
scripts Respect tokenizer.ggml.add_bos_token value when tokenizing (#4040) 2023-11-16 19:14:37 -07:00
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 ggml : mul_mat_id use the same tensor for all the experts (#6387) 2024-04-03 16:07:05 +03:00
README.md gguf-py : fix broken link 2023-12-21 23:20:36 +02:00

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.

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.