Test on ImageNet-1K and CIFAR-100 .
is roughly 1/3 the size of base models; argue its viability for "Always-on" AI features. clip56mp4
What is the actual reduction in VRAM and latency on edge devices (Jetson, Mobile GPUs)? 3. Methodology & Benchmarking Test on ImageNet-1K and CIFAR-100
Use ImageNet-V2 and ImageNet-A to see if quantization introduces "hallucinations" or brittleness. 💡 Key Arguments to Develop Parameter Efficiency: clip56mp4