quark-torch-debug
SkillDev toolsDiagnose failed Quark Torch PTQ installation, execution, script generation, or export attempts. Use when the user reports a torch-side error, stack trace, invalid artifact, missing dependency, CUDA OOM, version mismatch, or unexpected PTQ results. Trigger for "Quark error", "PTQ failed", "quantization crashed", "CUDA out of memory", "import error", "model loading failed", "wrong results", any Python traceback mentioning quark.torch / torch._dynamo / transformers / accelerate. Not for onnxruntime tracebacks — use quark-onnx-debug.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the quark-torch-debug skill
What this skill tells your AI
The instructions your AI receives, as published by amd/quark in .claude/skills/quark-torch-debug/SKILL.md and read by ahel’s review.
Read and follow the instructions in .claude/skills-impl/l1-atomic/torch/quark-torch-debug/SKILL.md.
Signals
- GitHub stars
- 166
- Forks
- 33
- Last commit
- Aug 2026
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quark-torch-debug- Source
- github.com/amd/quark