Downloads · 30 days
9
16% of all-time downloads
threshold-minority5
phanerozoic/threshold-minority5
threshold-minority5 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.
5-input minority gate. Outputs 1 when at most 2 of 5 inputs are high. Complement of majority5.
All-time downloads
57
Public
Parameters
6
Likes
0
Public
Repo makeup
Click a slice to open those files.
.py1.4 KB · 53%
At a glance
- License
- mit
- Access
- Public
- Created
- Jan 23, 2026
- Updated
- Jan 23, 2026
- SHA
- ecf357aa
Model card
From the Hugging Face model README
threshold-minority5
5-input minority gate. Outputs 1 when at most 2 of 5 inputs are high. Complement of majority5.
Function
minority5(a, b, c, d, e) = 1 if sum <= 2, else 0
Architecture
Single neuron: weights [-1, -1, -1, -1, -1], bias 2
Fires when: sum <= 2
Parameters
| Inputs | 5 |
| Outputs | 1 |
| Neurons | 1 |
| Layers | 1 |
| Parameters | 6 |
| Magnitude | 7 |
Usage
from safetensors.torch import load_file
import torch
w = load_file('model.safetensors')
def minority5(a, b, c, d, e):
inp = torch.tensor([float(a), float(b), float(c), float(d), float(e)])
return int((inp @ w['neuron.weight'].T + w['neuron.bias'] >= 0).item())
print(minority5(0, 0, 0, 1, 1)) # 1
print(minority5(0, 0, 1, 1, 1)) # 0
License
MIT
- License
- mit
- Created
- Jan 23, 2026
- Updated
- Jan 23, 2026