Simple Python bindings for @ggerganov's llama.cpp library.
This package provides:
- Low-level access to C API via
ctypesinterface. - High-level Python API for text completion
- OpenAI-like API
- LangChain compatibility
Install from PyPI (requires a c compiler):
pip install llama-cpp-pythonThe above command will attempt to install the package and build build llama.cpp from source.
This is the recommended installation method as it ensures that llama.cpp is built with the available optimizations for your system.
This method defaults to using make to build llama.cpp on Linux / MacOS and cmake on Windows.
You can force the use of cmake on Linux / MacOS setting the FORCE_CMAKE=1 environment variable before installing.
>>> from llama_cpp import Llama
>>> llm = Llama(model_path="./models/7B/ggml-model.bin")
>>> output = llm("Q: Name the planets in the solar system? A: ", max_tokens=32, stop=["Q:", "\n"], echo=True)
>>> print(output)
{
"id": "cmpl-xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"object": "text_completion",
"created": 1679561337,
"model": "./models/7B/ggml-model.bin",
"choices": [
{
"text": "Q: Name the planets in the solar system? A: Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune and Pluto.",
"index": 0,
"logprobs": None,
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 14,
"completion_tokens": 28,
"total_tokens": 42
}
}llama-cpp-python offers a web server which aims to act as a drop-in replacement for the OpenAI API.
This allows you to use llama.cpp compatible models with any OpenAI compatible client (language libraries, services, etc).
To install the server package and get started:
pip install llama-cpp-python[server]
export MODEL=./models/7B/ggml-model.bin
python3 -m llama_cpp.serverNavigate to http://localhost:8000/docs to see the OpenAPI documentation.
A Docker image is available on GHCR. To run the server:
docker run --rm -it -p8000:8000 -v /path/to/models:/models -eMODEL=/models/ggml-model-name.bin ghcr.io/abetlen/llama-cpp-python:latestThe low-level API is a direct ctypes binding to the C API provided by llama.cpp.
The entire API can be found in llama_cpp/llama_cpp.py and should mirror llama.h.
Documentation is available at https://abetlen.github.io/llama-cpp-python. If you find any issues with the documentation, please open an issue or submit a PR.
This package is under active development and I welcome any contributions.
To get started, clone the repository and install the package in development mode:
git clone --recurse-submodules git@github.com:abetlen/llama-cpp-python.git
# Will need to be re-run any time vendor/llama.cpp is updated
python3 setup.py developI originally wrote this package for my own use with two goals in mind:
- Provide a simple process to install
llama.cppand access the full C API inllama.hfrom Python - Provide a high-level Python API that can be used as a drop-in replacement for the OpenAI API so existing apps can be easily ported to use
llama.cpp
Any contributions and changes to this package will be made with these goals in mind.
This project is licensed under the terms of the MIT license.