vLLM: High-Throughput LLM Inference and Serving Engine

Introduction to vLLM vLLM is an innovative open-source project designed to enhance the efficiency of model training through the use of fused mixture of experts (MOE) kernels. With a robust codebase comprising 2616 files and over 587,228 lines of code, vLLM aims to...

llama.cpp: High-Performance Local LLM Inference in C/C++

Introduction to llama.cpp The llama.cpp project is a robust Python package designed for writing binary files in the GGUF (GGML Universal File) format. This project is particularly useful for developers working with machine learning models and data serialization. Key...