TurboQuant provides a technical deep-dive into the mathematical foundations of model quantization. The guide breaks down how weight precision reduction affects inference speed and memory overhead. It targets developers seeking to optimize LLM deployment on constrained hardware. This resource offers a practical roadmap for implementing efficient quantization strategies without sacrificing significant model accuracy.