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threshold-popcount8
phanerozoic/threshold-popcount8
threshold-popcount8 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.
8-bit population count. Counts the number of 1 bits in an 8-bit input.
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.py8.8 KB · 58%
At a glance
- License
- mit
- Access
- Public
- Created
- Jan 23, 2026
- Updated
- Jan 23, 2026
- SHA
- df35550b
Model card
From the Hugging Face model README
threshold-popcount8
8-bit population count. Counts the number of 1 bits in an 8-bit input.
Function
popcount8(a7..a0) = count of 1 bits (0 to 8)
Output is 4 bits: y3y2y1y0 representing count in binary.
Truth Table (selected rows)
| Input | Count | Output |
|---|---|---|
| 00000000 | 0 | 0000 |
| 00000001 | 1 | 0001 |
| 01010101 | 4 | 0100 |
| 11110000 | 4 | 0100 |
| 11111111 | 8 | 1000 |
Architecture
- y3 = (sum == 8)
- y2 = (sum >= 4) AND (sum <= 7)
- y1 = ((sum >= 2) AND (sum <= 3)) OR ((sum >= 6) AND (sum <= 7))
- y0 = XOR8 (parity of all 8 bits)
The parity computation uses a tree of XOR gates: XOR pairs, then XOR the results.
Parameters
| Inputs | 8 |
| Outputs | 4 |
| Neurons | 31 |
| Layers | 5 |
| Parameters | 177 |
| Magnitude | 163 |
Usage
from safetensors.torch import load_file
# See create_safetensors.py for full implementation
# popcount8(1,0,1,0,1,0,1,0) = [0,1,0,0] = 4
License
MIT
- License
- mit
- Created
- Jan 23, 2026
- Updated
- Jan 23, 2026