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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
DVD-Quant: Data-free Video Diffusion Transformers QuantizationCode1
Relation-Guided Adversarial Learning for Data-free Knowledge TransferCode1
Towards Accurate Post-training Quantization for Diffusion ModelsCode1
Adaptive Data-Free QuantizationCode1
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
Patch Similarity Aware Data-Free Quantization for Vision TransformersCode1
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian ApproximationCode1
Qimera: Data-free Quantization with Synthetic Boundary Supporting SamplesCode1
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