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* mtmd : add MERaLiON-2 multimodal audio support Adds support for A*STAR's MERaLiON-2 audio-language model (3B and 10B) to the multimodal framework. Architecture: - Whisper large-v2 encoder for audio feature extraction - Gated MLP adaptor: ln_speech -> frame stack (x15) -> Linear+SiLU -> GLU -> out_proj - Gemma2 3B / 27B decoder The mmproj GGUF is generated via convert_hf_to_gguf.py --mmproj on the full MERaLiON-2 model directory (architecture: MERaLiON2ForConditionalGeneration). The decoder is converted separately as a standard Gemma2 model after stripping the text_decoder. weight prefix. New projector type: PROJECTOR_TYPE_MERALION Supports tasks: speech transcription (EN/ZH/MS/TA), translation, spoken QA. Model: https://huggingface.co/MERaLiON/MERaLiON-2-3B https://huggingface.co/MERaLiON/MERaLiON-2-10B * simplify comments in meralion adaptor * meralion: use format_tensor_name, ascii arrows in comments |
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| examples | ||
| gguf | ||
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| LICENSE | ||
| README.md | ||
| pyproject.toml | ||
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
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.
- 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, follow 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/*
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.