Downloads · 30 days
8
22% of all-time downloads
threshold-atmost2outof4
phanerozoic/threshold-atmost2outof4
threshold-atmost2outof4 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.
All-time downloads
37
Public
Parameters
5
Likes
0
Public
Repo makeup
Click a slice to open those files.
.py1.3 KB · 49%
At a glance
- License
- mit
- Access
- Public
- Created
- Jan 23, 2026
- Updated
- Jan 23, 2026
- SHA
- bacce1d9
Model card
From the Hugging Face model README
threshold-atmost2outof4
At most 2 of 4 inputs high.
Function
atmost2outof4(a, b, c, d) = 1 if (a + b + c + d) <= 2, else 0
Truth Table
| a | b | c | d | sum | out |
|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 1 |
| 0 | 0 | 0 | 1 | 1 | 1 |
| 0 | 0 | 1 | 1 | 2 | 1 |
| 0 | 1 | 1 | 1 | 3 | 0 |
| 1 | 1 | 1 | 1 | 4 | 0 |
Architecture
Single neuron: weights [-1, -1, -1, -1], bias 2
Fires when: -a - b - c - d + 2 >= 0, i.e., sum <= 2
Parameters
| Inputs | 4 |
| Outputs | 1 |
| Neurons | 1 |
| Layers | 1 |
| Parameters | 5 |
| Magnitude | 6 |
Usage
from safetensors.torch import load_file
import torch
w = load_file('model.safetensors')
def atmost2of4(a, b, c, d):
inp = torch.tensor([float(a), float(b), float(c), float(d)])
return int((inp @ w['neuron.weight'].T + w['neuron.bias'] >= 0).item())
print(atmost2of4(0, 0, 1, 1)) # 1 (sum=2)
print(atmost2of4(0, 1, 1, 1)) # 0 (sum=3)
License
MIT
- License
- mit
- Created
- Jan 23, 2026
- Updated
- Jan 23, 2026