Hyperpocket is a modular inference engine that allows developers to import pre-trained large language models, convert them into optimized formats, and run them locally with minimal dependencies. It supports quantization techniques to reduce model size and accelerate performance on CPUs and ARM-based devices. The framework exposes both C++ and Python interfaces, enabling seamless integration into existing applications and pipelines. Hyperpocket automatically manages memory allocation, tokenization, and batching to deliver consistent low-latency responses. Its cross-platform design means the same model can run on Windows, Linux, macOS, and embedded systems without modification. This makes Hyperpocket ideal for implementing privacy-focused chatbots, offline data analysis, and custom AI-powered tools on edge hardware.

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