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Data Free Quantization

Data Free Quantization is a technique to achieve a highly accurate quantized model without accessing any training data.

Source: Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples

Papers

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Showing 11–20 of 37 papers

TitleStatusHype
Diverse Sample Generation: Pushing the Limit of Generative Data-free QuantizationCode1
Generative Low-bitwidth Data Free QuantizationCode1
ZeroQ: A Novel Zero Shot Quantization FrameworkCode1
Data-Free Quantization Through Weight Equalization and Bias CorrectionCode1
OuroMamba: A Data-Free Quantization Framework for Vision Mamba Models—0
Enhancing Diversity for Data-free Quantization—0
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers—0
A method of using RSVD in residual calculation of LowBit GEMM—0
Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare—0
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity—0
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