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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 1–10 of 37 papers

TitleStatusHype
LLM-QAT: Data-Free Quantization Aware Training for Large Language ModelsCode3
Data-Free Quantization Through Weight Equalization and Bias CorrectionCode1
Generative Low-bitwidth Data Free QuantizationCode1
Patch Similarity Aware Data-Free Quantization for Vision TransformersCode1
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision TransformersCode1
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the TeacherCode1
Adaptive Data-Free QuantizationCode1
DVD-Quant: Data-free Video Diffusion Transformers QuantizationCode1
Diverse Sample Generation: Pushing the Limit of Generative Data-free QuantizationCode1
Qimera: Data-free Quantization with Synthetic Boundary Supporting SamplesCode1
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