Low-Level API for Llama_cpp

Overview

This Python script, low_level_api_llama_cpp.py, demonstrates the implementation of a low-level API for interacting with the llama_cpp library. The script defines an inference that generates embeddings based on a given prompt using .gguf model.

Prerequisites

Before running the script, ensure that you have the following dependencies installed:

. Python 3.6 or higher . llama_cpp: A C++ library for working with .gguf model . NumPy: A fundamental package for scientific computing with Python . multiprocessing: A Python module for parallel computing

Usage

install depedencies:

python -m pip install llama-cpp-python ctypes os multiprocessing

Run the script:

python low_level_api_llama_cpp.py

Code Structure

The script is organized as follows:

. Initialization:

    Load the model from the specified path.
    Create a context for model evaluation.

. Tokenization:

    Tokenize the input prompt using the llama_tokenize function.
    Prepare the input tokens for model evaluation.

. Inference:

    Perform model evaluation to generate responses.
    Sample from the model's output using various strategies (top-k, top-p, temperature).

. Output:

    Print the generated tokens and the corresponding decoded text.

.Cleanup:

    Free resources and print timing information.

Configuration

Customize the inference behavior by adjusting the following variables:

. N_THREADS: Number of CPU threads to use for model evaluation.

. MODEL_PATH: Path to the model file.

. prompt: Input prompt for the chatbot.

Notes

. Ensure that the llama_cpp library is built and available in the system. Follow the instructions in the llama_cpp repository for building and installing the library.

. This script is designed to work with the .gguf model and may require modifications for compatibility with other models.

Acknowledgments

This code is based on the llama_cpp library developed by the community. Special thanks to the contributors for their efforts.

License

This project is licensed under the MIT License - see the LICENSE file for details.