Quark Torch PTQ Purpose Take a PyTorch / Hugging Face LLM from model identification through confirmed AMD Quark PTQ. Perform intake, planning, manifest generation, execution, and output verification as one self-contained workflow. This skill stops at the quantized model. It does not accept model input, train or fine-tune a model, or modify Quark package/source files. Prerequisites - Python 3.11 to 3.13, accelerator-matched PyTorch 2.2 or newer, , and . - The required ROCm version and GPU architecture depend on the PyTorch build and selected quantization scheme. Record the actual runtime, GPU…