# 🦙 Python Bindings for `llama.cpp` [![Documentation](https://img.shields.io/badge/docs-passing-green.svg)](https://abetlen.github.io/llama-cpp-python) [![PyPI](https://img.shields.io/pypi/v/llama-cpp-python)](https://pypi.org/project/llama-cpp-python/) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/llama-cpp-python)](https://pypi.org/project/llama-cpp-python/) [![PyPI - License](https://img.shields.io/pypi/l/llama-cpp-python)](https://pypi.org/project/llama-cpp-python/) [![PyPI - Downloads](https://img.shields.io/pypi/dm/llama-cpp-python)](https://pypi.org/project/llama-cpp-python/) Simple Python bindings for **@ggerganov's** [`llama.cpp`](https://github.com/ggerganov/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: ```bash pip install llama-cpp-python ``` # Usage ```python >>> 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](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: ```bash 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 in `llama.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.