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llama_cpp | ||
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setup.py |
🦙 Python Bindings for llama.cpp
Simple Python bindings for @ggerganov's llama.cpp
library.
This package provides:
- Low-level access to C API via
ctypes
interface. - High-level Python API for text completion
- OpenAI-like API
- LangChain compatibility
Installation
Install from PyPI:
pip install llama-cpp-python
Usage
>>> from llama_cpp import Llama
>>> llm = Llama(model_path="models/7B/...")
>>> 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/...",
"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
}
}
Documentation
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.
Development
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 git@github.com:abetlen/llama-cpp-python.git
git submodule update --init --recursive
# Will need to be re-run any time vendor/llama.cpp is updated
python3 setup.py develop
How does this compare to other Python bindings of llama.cpp
?
I originally wrote this package for my own use with two goals in mind:
- Provide a simple process to install
llama.cpp
and access the full C API inllama.h
from 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.
License
This project is licensed under the terms of the MIT license.