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quark-onnx-ptq

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UpdatedJuly 9, 2026 at 06:10

End-to-end ONNX PTQ workflow for AMD Quark — for `.onnx` input models (with optional sibling `.onnx_data` external-weights file). Use when the user wants a complete ONNX-to-ONNX pipeline: model intake, quantization planning, calibration-script generation, manifest, and confirmed execution. Trigger for "quantize my .onnx", "run ONNX PTQ end to end", "full ONNX quantization pipeline", "quantize yolov8/resnet50/yolo_nas with XINT8/A8W8/BFP16/MXFP*", "weights-only INT4 for my .onnx LLM", or any request that spans more than one ONNX PTQ step. Not for HuggingFace / safetensors / PyTorch input models — use quark-torch-ptq instead.

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SKILL.md

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name

quark-onnx-ptq

description

Read and follow the instructions in .claude/skills-impl/l2-workflows/onnx/quark-onnx-ptq-workflow/SKILL.md.

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name

quark-onnx-ptq

description

Read and follow the instructions in .claude/skills-impl/l2-workflows/onnx/quark-onnx-ptq-workflow/SKILL.md.