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qriton/hlm-vision-mix-cifar10
hlm-vision-mix-cifar10 is a image classification model from qriton. Use it when you need a label for an image. It is set up for pytorch. The card lists the license as apache-2.0.
HLM-Vision-Mix is a compact image-classification research model that combines a convolutional stem, a 2D spatial mixer, polynomial-Hopfield blocks, and mean pooling.
Downloads · 30 days
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14% of all-time downloads
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.pt108 MB · 100%
From the Hugging Face model README
HLM-Vision-Mix is a compact image-classification research model that combines a convolutional stem, a 2D spatial mixer, polynomial-Hopfield blocks, and mean pooling.
This repository stages two CIFAR-10 variants:
| Variant | Parameters | Reported validation accuracy | File |
|---|---|---|---|
| Small | 4.35M | 78.6% | small_model.pt |
| Large | 22.57M | 83.9% | large_model.pt |
These are not state-of-the-art CIFAR-10 models. The value of the release is the architecture/probe record: the spatial mixer fixed an earlier patch-only failure mode, and patch-shuffle probes were substantially more damaging than color-shuffle probes in the small model.
| File | Purpose |
|---|---|
small_model.pt | Sanitized model-only checkpoint for the 4.35M variant |
large_model.pt | Sanitized model-only checkpoint for the 22.57M variant |
config.json | Public architecture and metrics metadata |
small_training_meta.json | Sanitized training metadata for the small variant |
large_training_meta.json | Sanitized training metadata for the large variant |
small_probe_v4.json | Small-model perturbation probe summary |