quark-torch-result-validator
SkillFiles & storageValidate Quark Torch quantization output (HuggingFace safetensors + config.json) using four lightweight checks: auxiliary file copy alignment, excluded tensor MD5 byte-identity, config.json deep comparison after stripping quantization keys, and safetensors header pattern/dtype summaries. Intended for post-export or file2file validation. Trigger for "validate quantization result", "check quantized model output", "verify exported weights". Not for .onnx output validation — use quark-onnx-result-validator.
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-result-validator skill
What this skill tells your AI
The instructions your AI receives, as published by amd/quark in .claude/skills/quark-torch-result-validator/SKILL.md and read by ahel’s review.
Read and follow the instructions in .claude/skills-impl/l1-atomic/torch/quark-torch-result-validator/SKILL.md.
Signals
- GitHub stars
- 166
- Forks
- 33
- Last commit
- Aug 2026
Advanced
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- skill
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quark-torch-result-validator- Source
- github.com/amd/quark