Native-speed vLLM transformers modeling backend

Hugging Face has introduced a new inference backend for the vLLM engine that enables native-speed execution of transformer models. By integrating directly with the architecture's core kernels, this update reduces latency and optimizes memory usage for large language model deployment. This development simplifies the transition from research prototypes to production-grade environments for developers working with standard transformer architectures.