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llama.cpp/gguf-py
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Meng Zhang 4fe09dfe66
llama : add support for StarCoder model architectures (#3187) 
* add placeholder of starcoder in gguf / llama.cpp

* support convert starcoder weights to gguf

* convert MQA to MHA

* fix ffn_down name

* add LLM_ARCH_STARCODER to llama.cpp

* set head_count_kv = 1

* load starcoder weight

* add max_position_embeddings

* set n_positions to max_positioin_embeddings

* properly load all starcoder params

* fix head count kv

* fix comments

* fix vram calculation for starcoder

* store mqa directly

* add input embeddings handling

* add TBD

* working in cpu, metal buggy

* cleanup useless code

* metal : fix out-of-bounds access in soft_max kernels

* llama : make starcoder graph build more consistent with others

* refactor: cleanup comments a bit

* add other starcoder models: 3B, 7B, 15B

* support-mqa-directly

* fix: remove max_position_embeddings, use n_train_ctx

* Update llama.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update llama.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Apply suggestions from code review

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* fix: switch to space from tab

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-09-15 22:02:13 +03:00
..
gguf llama : add support for StarCoder model architectures (#3187) 2023-09-15 22:02:13 +03:00
tests gguf : make gguf pip-installable 2023-08-25 09:26:05 +03:00
LICENSE gguf : make gguf pip-installable 2023-08-25 09:26:05 +03:00
pyproject.toml gguf-py : support identity operation in TensorNameMap (#3095) 2023-09-14 19:32:26 +03:00
README.md gguf : add workflow for Pypi publishing (#2896) 2023-08-30 12:47:40 +03:00

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

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, folow 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.
  • Add CI workflow for releasing the package.