real-llama-cpp-python 0.1.2

A simple custom LLM wrapper for llama.cpp with LangChain compatibility.

real-llama-cpp-python

A simple custom wrapper for llama.cpp models in Python, support seamlessly interaction with LangChain. As the name suggests, it is truly a wrapper for llama.cpp, you should have installed llama.cpp into your machine prior to this.

Background

While it might seem intuitive that llama-cpp-python would seamlessly integrate with llama.cpp, the reality is that installing llama-cpp-python is a pain in the bum. It is NOT simple as described pip install llama-cpp-python.

Langchain, by default, supports llama-cpp-python. If you have a pipeline that works with Langchain, it would be very difficult to run the latest quantized model (gguf files downloaded from HuggingFace) from llama.cpp. The real-llama-cpp-python is a simplified and an alternative library designed to seamlessly integrate with LangChain while avoiding the pain of installing the library llama-cpp-python.

llama.cpp can be installed or built easily. (If you are facing the challenge by the time you install llama.cpp, the llama.cpp community is also very active that any issue can be resolved in a few days (unlike llama-cpp-python).

Installation

As the name said, it is truly a wrapper for llama.cpp, you should first install llama.cpp into your machine.

1 Install llama.cpp first

• Highly recommend this method Clone llama.cpp repository and build locally, see how to build
• On MacOS or Linux, install llama.cpp via brew, flox or nix. Noted that, this brew install may not support GPU.
• Use a llama.cpp Docker image, see documentation for Docker.
• Have not tested yet Download pre-built binaries from releases.

After successfully built/installed llama.cpp. You want to add llama.cpp directory to your PATH permanently by editing your shell configuration file:

vim ~/.bashrc 

or

source ~/.zshrc

Add the following line:

export PATH=$PATH:/path/to/your/llama.cpp/build/bin

Save and run source ~/.bashrc or source ~/.zshrc You should be able to run llama-cli and llama-server from any directory. Verify the accessibility, run the following commands in any directory

llama-cli --help
llama-server --help

2 Install llama.cpp

Now, you can install real-llama-cpp-python by either install the stable version through pip install

pip install real-llama-cpp-python

or clone the github repository for the developing features.

git clone https://github.com/minhtran1309/real-llama-cpp-python.git
cd real-llama-cpp-python
pip install -e .

3 Running the tests