quark-torch-export
SkillAI & modelsPrepare export and downstream evaluation handoff for a planned or completed Quark Torch PTQ run. Input is a PyTorch / HuggingFace transformers model; output formats include HF safetensors, GGUF, and ONNX. Trigger for "export model", "save quantized model", "convert to GGUF", "export to HuggingFace format", "export to ONNX", or when the user has a completed or planned Torch PTQ run and needs deployment outputs. Not for exporting from an .onnx input model — use quark-onnx-export.
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-export skill
What this skill tells your AI
The instructions your AI receives, as published by amd/quark in .claude/skills/quark-torch-export/SKILL.md and read by ahel’s review.
Read and follow the instructions in .claude/skills-impl/l1-atomic/torch/quark-torch-export/SKILL.md.
Signals
- GitHub stars
- 166
- Forks
- 33
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
quark-torch-export- Source
- github.com/amd/quark