What problem does it solve?
This Skill helps you confirm that a Quark ONNX quantization run actually produced the expected model changes without breaking the original model’s important properties.
Core Features & Use Cases
- Auxiliary file alignment: Checks whether non-model support files were copied from the source directory to the quantized output directory.
- Initializer integrity validation: Verifies that weights and other excluded initializers remain byte-identical when they are supposed to stay unchanged.
- Metadata comparison: Compares model metadata and graph I/O signatures while ignoring Quark-injected opset domains.
- Quantization signal inspection: Produces a header-only summary to detect QDQ patterns, custom Quark ops, node types, and dtype distributions.
- Use case: After quantizing a PyTorch or ONNX model with Quark, use this Skill to quickly confirm the output looks correct before deeper testing or deployment.
Quick Start
Ask the assistant to validate my Quark ONNX quantization output and report auxiliary file, metadata, initializer, and QDQ checks.