quark-install

Install or verify the AMD Quark package and its dependencies. Trigger for "install Quark", "set up Quark", "pip install amd-quark", dependency errors, import failures for quark modules, ModuleNotFoundError for quark, or missing C++ compiler errors. For PyTorch installation or torch version issues, use quark-torch-install instead.

Ir a la instalación

Repositorio: amd/Quark
Última actividad en el origen: 9 de julio de 2026 a las 06:10
Idioma detectado de SKILL.md: inglés
Estrellas: 166
Forks: 30

Opciones de instalación

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npx skills add https://github.com/amd/Quark --skill quark-install

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Revisa los archivos de origen

Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

SKILL.md

Instrucciones de origen · Vista previa de solo lectura

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quark-env-preflight

Collect and normalize environment facts (OS, Python, GPU, CUDA/ROCm, container state) before Quark installation or PTQ planning. Use this skill whenever a downstream skill needs confirmed hardware and toolchain facts, when the user mentions their setup, when you need to decide between CUDA/ROCm/CPU install paths, or when any accelerator-related assumption is unconfirmed. Also trigger when the user says things like "check my environment", "what GPU do I have", "is my setup ready for Quark", or before any install/quantization step where hardware facts are missing.

2026-07-09

quark-workspace-validate

Validate workspace shape, model paths, output directories, and repo structure before downstream Quark skills proceed. Use this skill whenever a skill needs confirmed file paths, when the user provides a model path or output directory, when you need to distinguish a local model from a HuggingFace ID, or when any path assumption is unverified. Also trigger for "where should I put outputs", "is my model path right", or before model-intake/export steps.

2026-07-09

quark-onnx-debug

Diagnose failed Quark ONNX installation, calibration, quantization, custom-op compilation, or export attempts. Use when the user reports an error, stack trace, invalid artifact, missing dependency, ORT execution-provider mismatch, silent CPU fallback, OOM during calibration, custom-op load failure (BFPQuantizeDequantize / MXQuantizeDequantize / Extended*), or unexpected quantization results from the ONNX flow. Trigger for "Quark ONNX error", "onnxruntime error", "quantize_static failed", "calibration crashed", "CUDAExecutionProvider not available", "ROCMExecutionProvider not available", "custom op library load failed", "model.onnx larger than 2GB", "external data not found", "AdaRound diverged", "GPTQ ONNX failed", "QuaRot failed", "NPU power-of-2 scale", any Python traceback mentioning quark.onnx / onnxruntime / onnx, or when the user pastes an error message related to Quark ONNX workflows.

2026-07-09

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name	quark-install
description	Install or verify the AMD Quark package and its dependencies. Trigger for "install Quark", "set up Quark", "pip install amd-quark", dependency errors, import failures for quark modules, ModuleNotFoundError for quark, or missing C++ compiler errors. For PyTorch installation or torch version issues, use quark-torch-install instead.

quark-install

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