Introduction: What Problems Does Weight Loading Solve?Before diving into vLLM's weight loading implementation, it's essential to understand the core challenges it addresses.Large language model weights are typically stored on disk as checkpoint files. The weight loading task seems straightforward: read these files, match tensors by name, and copy data into the model's parameters. However, three critical complexities make this far from simple.Challenge 1: Tensor Sharding and Memory Control in Tensor ParallelismvLLM supports splitting a model ...