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M8.9 - Quantized Artifacts and Runtime Integration

A byte-, tensor-, graph-, and kernel-level treatment of quantized deployment artifacts: safetensors, GGUF, ONNX QDQ/QOperator, packing and alignment, sharding, converter and loader state machines, topology-aware placement, kernel admission, parity ladders, startup memory, security, and runtime integration across vLLM, TorchAO, TensorRT-LLM, and llama.cpp.