标签: 模型量化
所有带有此标签的文章 "模型量化".
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SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
更新于:开始做SNN-LLM的QAT/PTQ了，重新读一下之前看过的一些Activation量化的工作。
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I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models
更新于:LLM的Interger-Only PTQ量化工作。
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I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference
更新于:对ViT的纯整型量化，W8A8，中科院2023 ICCV
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Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference
更新于:EAGL，声称只要用CPU在3秒内就能完成对ResNet的量化，效率远高于HAWQ等其他传统的方法
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Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
更新于:谷歌的，第一篇完整跑通interger-only量化推理流程的工作。
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HAWQ: Hessian Aware Quantization of Neural Networks with Mixed-Precision
更新于:模型量化经典方法，基于黑森矩阵，一种二阶信息的量化方法。