...Developers can train models using a Python training pipeline and then run inference using a lightweight C implementation that requires very few dependencies. The architecture mirrors the structure of the LLaMA-2 model family, allowing compatible model checkpoints to be converted and executed within the simplified runtimeenvironment. Because the implementation is intentionally minimal, it serves as a teaching tool for understanding how transformer architectures operate at a low level.