New in llama.cpp: Model Management

The latest update in llama.cpp introduces enhanced model management capabilities, allowing users to efficiently load, unload, and switch between multiple LLaMA models within a single session. This update includes support for model quantization, which reduces memory usage and improves inference speed, critical for deploying LLaMA models on resource-constrained devices. This feature enables practitioners to optimize performance and manage resources effectively when building applications with LLaMA.