CLIP-SAE-ViT-L-14
10
32
14.0B
license:mit
by
zer0int
Image Model
OTHER
14B params
New
10 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
32GB+ RAM
Mobile
Laptop
Server
Quick Summary
CLIP ViT-L/14 finetune: SAE-informed adversarial training - SAE = Sparse autoencoder - Accuracy ImageNet/ObjectNet my GmP: 91% > SAE (this): 89% > OpenAI pre-trained: 84.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
14GB+ RAM
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