Posts by Deepan Sekar
Llama.cpp Meets Instinct: A New Era of Open-Source AI Acceleration
- 09 September 2025
Llama.cpp is an open source implementation of a Large Language Model (LLM) inference framework designed to run efficiently on diverse hardware configurations, both locally and in cloud environments. Its plain C/C++ implementation ensures a dependency-free setup, allowing it to seamlessly support various hardware architectures across CPUs and GPUs. The framework offers a range of quantization options, including 1.5-bit to 8-bit integer quantization, to achieve faster inference and reduced memory usage. Llama.cpp is part of an active open-source community within the AI ecosystem, with over 1200 contributors and almost 4000 releases on its official GitHub repository as of early August, 2025. Designed as a CPU-first C++ library, llama.cpp offers simplicity and easy integration with other programming environments - making it widely compatible and rapidly adopted across diverse platforms, especially among consumer devices.