quark-onnx-ptq-workflow
quark-onnx-ptq-workflow is an MLOps & model serving skill for AI agents, published by amd in the Quark repository on GitHub. Skillspace rates quark-onnx-ptq-workflow D (62/100) and it passed the safety scan; the rating is based on static analysis only.
End-to-end ONNX PTQ workflow for AMD Quark — from a `.onnx` file (and calibration data) to a quantized `.onnx` output. Use when the user wants a complete ONNX-to-ONNX PTQ 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. When in doubt between routing to an atomic skill vs. the workflow, prefer this workflow if the user's request implies they want to go from a `.onnx` file to a quantized output.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 148
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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