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quark-torch-file2file-quantization

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更新时间2026年7月9日 06:10

Low-memory file2file quantization for very large safetensors LLMs that cannot be loaded whole. Use when the user wants to run file2file quantization, adapt a new safetensors checkpoint without loading the full model, register an external LLMTemplate, inspect sharded checkpoint naming, generate wrapper or conversion scripts, or validate low-memory sharded quantization outputs. Trigger for "run file2file quantization", "quantize without loading the model", "large safetensors low-memory quantization", "file2file for DeepSeek/Qwen/MoE", "safetensors naming incompatible", "register LLMTemplate externally".

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来源

amd

amd/Quark

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软件开发工程师计算机与数学类职业·SOC 15-1252

SKILL.md

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name

quark-torch-file2file-quantization

description

Read and follow the instructions in .claude/skills-impl/l1-atomic/torch/quark-torch-file2file-quantization/SKILL.md.

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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.

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name

quark-torch-file2file-quantization

description

Read and follow the instructions in .claude/skills-impl/l1-atomic/torch/quark-torch-file2file-quantization/SKILL.md.