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threshold-xor3-mag14
phanerozoic/threshold-xor3-mag14
threshold-xor3-mag14 is a machine learning model from phanerozoic. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
3-input XOR using cascade architecture with mag-7 XOR blocks.
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59
Public
Parameters
18
960 B on disk
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0
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Repo makeup
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.py2.7 KB · 39%
At a glance
- License
- mit
- Model type
- threshold_network
- Access
- Public
- Created
- Jan 23, 2026
- Updated
- Jan 23, 2026
- SHA
- b9736f5f
Model card
From the Hugging Face model README
threshold-xor3-mag14
3-input XOR using cascade architecture with mag-7 XOR blocks.
Note: A flat 3-hidden architecture achieves magnitude 10. See threshold-xor3-mag10.
Architecture
a b c
│ │ │
└──┴──┐ │
▼ │
┌─────┐ │
│XOR-7│ │
└──┬──┘ │
│ │
└────┬───┘
▼
┌─────┐
│XOR-7│
└──┬──┘
▼
XOR3(a,b,c)
Parameters
| Neurons | 6 (3 per XOR) |
| Layers | 4 |
| Parameters | 18 |
| Magnitude | 14 (2 × 7) |
Comparison
| Version | Magnitude | Architecture |
|---|---|---|
| xor3 (base) | 20 | Cascade, original XOR |
| xor3-mag14 | 14 | Cascade, mag-7 XOR |
| xor3-mag10 | 10 | Flat 3-hidden |
Usage
from safetensors.torch import load_file
w = load_file('model.safetensors')
# See model.py for implementation
License
MIT
- Type
- threshold_network
- License
- mit
- Created
- Jan 23, 2026
- Updated
- Jan 23, 2026