Introduction: Understanding the Weight Loading ChallengeBefore diving into vLLM's weight loading implementation, it's essential to grasp the fundamental problems it aims to solve. At its core, weight loading appears deceptively simple: read checkpoint files from disk, match tensors by name, and copy data into model parameters. However, this seemingly straightforward task becomes extraordinarily complex when dealing with modern large language models deployed in production environments.Large model weights are typically stored as checkpoint fil...