llama.cpp Portable LLM Inference Engine in C/C++

llama.cpp is a high-performance C/C++ implementation for running LLM inference across diverse hardware. It supports GGUF model quantization, GPU acceleration on NVIDIA/AMD/Apple Silicon, and provides both a CLI and an OpenAI-compatible HTTP server for local model serving.

llama.cpp Portable LLM Inference Engine in C/C++

llama.cpp is a high-performance C/C++ implementation for running LLM inference across diverse hardware. It supports GGUF model quantization, GPU acceleration on NVIDIA/AMD/Apple Silicon, and provides both a CLI and an OpenAI-compatible HTTP server for local model serving.

Installation

Method 1, Agent Skill Exchange

Method 2, Git clone

git clone https://github.com/agentskillexchange/skills.git && cd skills/skills/llama-cpp-portable-llm-inference

Method 3, Download ZIP

  • Download the repository ZIP and extract skills/llama-cpp-portable-llm-inference.

Method 4, Manual copy

  • Copy this skill folder into your local skills directory, then reload your agent tooling.

Method 5, Fork and sync

  • Fork the repository if you want to maintain local edits while syncing upstream changes.

Source