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threshold-majority7
phanerozoic/threshold-majority7
threshold-majority7 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.
7-input majority gate. Outputs 1 when at least 4 of 7 inputs are high.
All-time downloads
34
Public
Parameters
8
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0
Public
Repo makeup
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.py1.5 KB · 54%
At a glance
- License
- mit
- Access
- Public
- Created
- Jan 23, 2026
- Updated
- Jan 23, 2026
- SHA
- 92ccbac4
Model card
From the Hugging Face model README
threshold-majority7
7-input majority gate. Outputs 1 when at least 4 of 7 inputs are high.
Function
majority7(a, b, c, d, e, f, g) = 1 if sum >= 4, else 0
Architecture
Single neuron: weights [1, 1, 1, 1, 1, 1, 1], bias -4
Fires when: sum >= 4
Parameters
| Inputs | 7 |
| Outputs | 1 |
| Neurons | 1 |
| Layers | 1 |
| Parameters | 8 |
| Magnitude | 11 |
Usage
from safetensors.torch import load_file
import torch
w = load_file('model.safetensors')
def majority7(a, b, c, d, e, f, g):
inp = torch.tensor([float(a), float(b), float(c), float(d), float(e), float(f), float(g)])
return int((inp @ w['neuron.weight'].T + w['neuron.bias'] >= 0).item())
print(majority7(0, 0, 0, 1, 1, 1, 1)) # 1
print(majority7(0, 0, 0, 0, 1, 1, 1)) # 0
License
MIT
- License
- mit
- Created
- Jan 23, 2026
- Updated
- Jan 23, 2026