llama.cpp is an open-source C++ inference engine designed for efficient local execution of large language models (LLMs). It provides a lightweight, high-performance solution for running models like Qwen3.5 35B-A3B on consumer hardware, supporting both CPU and GPU acceleration. Key capabilities include model loading, text generation, and conversation management through a web interface. The engine is optimized for low latency and resource efficiency, making it suitable for developers and researchers needing offline or private AI inference. Typical use cases include local chatbots, research prototyping, and applications requiring data privacy without cloud dependencies.
