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* [前言](chapter0/chapter0_1.md)
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* 一、基础篇
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* 第1章 量化
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* [1.1 量化](chapter1/chapter1_1.md)
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* [1.1 量化概述](chapter1/chapter1_0.md)
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* [1.2 为什么要量化](chapter1/chapter1_1.md)
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* [1.3 经典量化方法:PTQ](chapter1/chapter1_2.md)
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* [1.4 经典量化方法:QAT](chapter1/chapter1_3.md)
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* [1.5 前沿方法](chapter1/chapter1_4.md)
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* 第2章 蒸馏
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* [2.1 蒸馏](chapter2/chapter2_1.md)
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* [2.2 标准知识蒸馏](chapter2/chapter2_2.md)
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* [2.3 基于涌现能力的蒸馏](chapter2/chapter2_3.md)
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* [2.1 蒸馏基础](chapter2/chapter2_1.md)
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* [2.2 白盒蒸馏](chapter2/chapter2_2.md)
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* [2.2 黑盒蒸馏](chapter2/chapter2_3.md)
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* [2.4 蒸馏总结](chapter2/chapter2_4.md)
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* 第3章 剪枝
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* [3.1 剪枝概述](chapter3/chapter3_1.md)
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* [3.2 非结构化剪枝](chapter3/chapter3_2.md)
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* [4.4 低秩分解总结](chapter4/chapter4_4.md)
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* 二、运行篇
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* 第5章 表示
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* [5.1 模型格式](chapter5/5.1%20模型格式.md)
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* [5.2 通用模型表示](chapter5/5.2%20通用模型表示.md)
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* [5.3 PyTorch框架专用模型表示](chapter5/5.3%20PyTorch框架专用模型表示.md)
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* [5.4 TensorFlow框架专用模型表示](chapter5/5.4%20TensorFlow框架专用模型表示.md)
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* [5.1 模型格式](chapter5/chapter5_1.md)
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* [5.2 通用模型表示](chapter5/chapter5_2.md)
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* [5.3 PyTorch框架专用模型表示](chapter5/chapter5_3.md)
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* [5.4 TensorFlow框架专用模型表示](chapter5/chapter5_4.md)
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* 第6章 加速
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* [6.1 加速](chapter6/chapter6_1.md)
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* 第7章 框架

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docs/chapter2/2_3黑盒蒸馏.md

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docs/chapter2/2_4总结和展望.md

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