34b0a08207
* gguf-py: Refactor and add file reading support * Replay changes from #3871 Credit to @cebtenzzre for that pull * Various type annotation fixes. * sort imports with isort (again) * Fix missing return statement in add_tensor * style cleanup with flake8 * fix NamedTuple and Enum usage * Fix an issue with state init in GGUFReader Move examples to an examples/ directory Clean up examples Add an example of modifying keys in a GGUF file Update documentation with info on examples Try to support people importing gguf/gguf.py directly * Damagage is not a word. * Clean up gguf-py/examples/modify_gguf.py whitespace Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * Update gguf-py/examples/modify_gguf.py formatting Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * Update gguf-py/gguf/gguf_reader.py type hint Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * Make examples executable, formatting changes * Add more information to GGUFReader and examples comments * Include a gguf Python package version bump * Add convert-gguf-endian.py script * cleanup * gguf-py : bump minor version * Reorganize scripts * Make GGUFReader endian detection less arbitrary * Add JSON dumping support to gguf-dump.py Which I kind of regret now * A few for gguf-dump.py cleanups * Murder accidental tuple in gguf-py/scripts/gguf-dump.py Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> * cleanup * constants : remove unneeded type annotations * fix python 3.8 compat * Set up gguf- scripts in pyproject.toml * And include scripts/__init__.py, derp * convert.py: We can't currently support Q8_0 on big endian. * gguf-py: SpecialVocab: Always try available sources for special token ids gguf-py: SpecialVocab: Try to load merges from merges.txt if not in tokenizer.json gguf-py: SpecialVocab: Add 'add_bos_token' type bools to GGUF metadata u * cleanup * Promote add_X_token to GGUF metadata for BOS and EOS --------- Co-authored-by: Jared Van Bortel <jared@nomic.ai> Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
82 lines
2.3 KiB
Markdown
82 lines
2.3 KiB
Markdown
## gguf
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This is a Python package for writing binary files in the [GGUF](https://github.com/ggerganov/ggml/pull/302)
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(GGML Universal File) format.
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See [convert-llama-hf-to-gguf.py](https://github.com/ggerganov/llama.cpp/blob/master/convert-llama-hf-to-gguf.py)
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as an example for its usage.
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## Installation
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```sh
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pip install gguf
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```
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## API Examples/Simple Tools
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[examples/writer.py](https://github.com/ggerganov/llama.cpp/blob/master/gguf-py/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.
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[scripts/gguf-dump.py](https://github.com/ggerganov/llama.cpp/blob/master/gguf-py/scripts/gguf-dump.py) — Dumps a GGUF file's metadata to the console.
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[scripts/gguf-set-metadata.py](https://github.com/ggerganov/llama.cpp/blob/master/gguf-py/scripts/gguf-set-metadata.py) — Allows changing simple metadata values in a GGUF file by key.
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[scripts/gguf-convert-endian.py](https://github.com/ggerganov/llama.cpp/blob/master/gguf-py/scripts/gguf-convert-endian.py) — Allows converting the endianness of GGUF files.
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## Development
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Maintainers who participate in development of this package are advised to install it in editable mode:
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```sh
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cd /path/to/llama.cpp/gguf-py
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pip install --editable .
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```
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**Note**: This may require to upgrade your Pip installation, with a message saying that editable installation currently requires `setup.py`.
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In this case, upgrade Pip to the latest:
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```sh
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pip install --upgrade pip
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```
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## Automatic publishing with CI
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There's a GitHub workflow to make a release automatically upon creation of tags in a specified format.
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1. Bump the version in `pyproject.toml`.
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2. Create a tag named `gguf-vx.x.x` where `x.x.x` is the semantic version number.
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```sh
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git tag -a gguf-v1.0.0 -m "Version 1.0 release"
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```
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3. Push the tags.
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```sh
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git push origin --tags
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```
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## Manual publishing
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If you want to publish the package manually for any reason, you need to have `twine` and `build` installed:
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```sh
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pip install build twine
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```
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Then, folow these steps to release a new version:
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1. Bump the version in `pyproject.toml`.
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2. Build the package:
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```sh
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python -m build
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```
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3. Upload the generated distribution archives:
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```sh
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python -m twine upload dist/*
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```
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## TODO
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- [ ] Add tests
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- [ ] Include conversion scripts as command line entry points in this package.
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