The INT8 ONNX computer-vision models published by Core Epoch. Each Hugging Face page carries the model file, its measured accuracy table, and run instructions.
| Model | Task | Accuracy | Size |
|---|---|---|---|
| EdgeNeXt-S | ImageNet-1K | 81.53% top-1 | 7.2 MB |
| XCiT-Tiny-12/P8 | ImageNet-1K | 81.16% top-1 | 8.6 MB |
| TinyViT-5M | ImageNet-1K | 80.53% top-1 | 9.2 MB |
| RT-DETRv2-S | COCO val2017 | 45.7 AP | 32.7 MB |
All four run on both ONNX Runtime and OpenVINO from the same file, with no GPU required. Quantized with Kenosis, Core Epoch's post-training quantizer (patent pending).
This index is Apache-2.0.