Compares PEFT methods (LoRA, QLoRA, BitFit etc.) plus a new adaptive checkpointing strategy on ViT/Mamba vision models and VLMs, showing 20-30% energy cuts and 43-79% memory reduction at small accuracy cost on CIFAR-100/DTD.
Rethinking VLMs and LLMs for image classification,
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Efficient PEFT Methods with Adaptive Checkpointing for Vision Models and VLMs on Resource Constrained Consumer-GPUs
Compares PEFT methods (LoRA, QLoRA, BitFit etc.) plus a new adaptive checkpointing strategy on ViT/Mamba vision models and VLMs, showing 20-30% energy cuts and 43-79% memory reduction at small accuracy cost on CIFAR-100/DTD.