Data Free Quantization
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Benchmarks
Most implemented
Data-Free Quantization Through Weight Equalization and Bias Correction
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
Generative Low-bitwidth Data Free Quantization
ZeroQ: A Novel Zero Shot Quantization Framework
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
DVD-Quant: Data-free Video Diffusion Transformers Quantization
Papers
DVD-Quant: Data-free Video Diffusion Transformers Quantization
Diffusion Transformers (DiTs) have emerged as the state-of-the-art architecture for video generation, yet their computational and memory demands hinder practical deployment. While post-training quantization (PTQ) present…
Data Free QuantizationQuantizationVideo GenerationOuroMamba: A Data-Free Quantization Framework for Vision Mamba Models
We present OuroMamba, the first data-free post-training quantization (DFQ) method for vision Mamba-based models (VMMs). We identify two key challenges in enabling DFQ for VMMs, (1) VMM's recurrent state transitions restr…
channel selectionContrastive LearningData Free QuantizationGPU+3Enhancing Diversity for Data-free Quantization
Model quantization is an effective way to compress deep neural networks and accelerate the inference time on edge devices. Existing quantization methods usually require original data for calibration during the compre…
Data Free QuantizationDiversityQuantizationSemantics Prompting Data-Free Quantization for Low-Bit Vision Transformers
Data-free quantization (DFQ), which facilitates model quantization without real data to address increasing concerns about data security, has garnered significant attention within the model compression community. Recently…
Data Free QuantizationModel CompressionQuantizationRelation-Guided Adversarial Learning for Data-free Knowledge Transfer
Data-free knowledge distillation transfers knowledge by recovering training data from a pre-trained model. Despite the recent success of seeking global data diversity, the diversity within each class and the similarity a…
Data-free Knowledge DistillationData Free QuantizationDiversityImage Generation+6A method of using RSVD in residual calculation of LowBit GEMM
The advancements of hardware technology in recent years has brought many possibilities for low-precision applications. However, the use of low precision can introduce significant computational errors, posing a considerab…
Data Free QuantizationQuantization