quark-torch-model-intake
SkillAI & modelsInspect a HuggingFace transformers / safetensors model and prepare metadata for Quark Torch PTQ planning. Use for model path validation, architecture detection, quantization target discovery, layer counting, risk assessment, or transformers compatibility checks. Trigger for "analyze my model", "check this model", "what architecture is this", "can Quark quantize X", "is this model supported". Not for .onnx model graphs — use quark-onnx-model-intake.
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-model-intake skill
What this skill tells your AI
The instructions your AI receives, as published by amd/quark in .claude/skills/quark-torch-model-intake/SKILL.md and read by ahel’s review.
Read and follow the instructions in .claude/skills-impl/l1-atomic/torch/quark-torch-model-intake/SKILL.md.
Signals
- GitHub stars
- 166
- Forks
- 33
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
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quark-torch-model-intake- Source
- github.com/amd/quark