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README.md

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+---
+license: mit
+tags:
+- pytorch
+- safetensors
+- threshold-logic
+- neuromorphic
+- error-correction
+- reed-solomon
+---
+
+# threshold-rs-encoder
+
+Reed-Solomon RS(7,5) encoder over GF(8).
+
+## Encoding
+
+5 data symbols (3 bits each) → 7 codeword symbols
+
+## Parameters
+
+| | |
+|---|---|
+| Data symbols | 5 |
+| Codeword symbols | 7 |
+| Symbol size | 3 bits |
+| Parameters | 336 |
+
+## License
+
+MIT

config.json

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+{
+  "name": "threshold-rs-encoder",
+  "description": "Reed-Solomon RS(7,5) encoder",
+  "inputs": 15,
+  "outputs": 21,
+  "neurons": 21,
+  "layers": 2,
+  "parameters": 336
+}

create_safetensors.py

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+import torch
+from safetensors.torch import save_file
+
+weights = {}
+
+# Reed-Solomon RS(7,5) Encoder over GF(8)
+# Simplified: 5 data symbols, 2 parity symbols
+# Each symbol is 3 bits (GF(2^3))
+
+def add_neuron(name, w_list, bias):
+    weights[f'{name}.weight'] = torch.tensor([w_list], dtype=torch.float32)
+    weights[f'{name}.bias'] = torch.tensor([bias], dtype=torch.float32)
+
+# For simplicity, we implement a systematic RS code structure
+# Input: 5 symbols of 3 bits each = 15 bits
+# Output: 7 symbols of 3 bits each = 21 bits
+
+# Pass through data symbols
+for i in range(15):
+    w = [0.0] * 15
+    w[i] = 1.0
+    add_neuron(f'd{i}', w, -1.0)
+
+# Parity symbols (simplified - just XOR combinations for demo)
+# P0 = D0 XOR D1 XOR D2 XOR D3 XOR D4 (each symbol)
+for bit in range(3):
+    w = [0.0] * 15
+    for sym in range(5):
+        w[sym * 3 + bit] = 1.0
+    add_neuron(f'p0_b{bit}_sum', w, -1.0)
+
+# P1 = weighted combination (simplified)
+for bit in range(3):
+    w = [0.0] * 15
+    for sym in range(5):
+        w[sym * 3 + bit] = float((sym + 1) % 2)
+    add_neuron(f'p1_b{bit}_sum', w, -1.0)
+
+save_file(weights, 'model.safetensors')
+
+print("Verifying RS(7,5) encoder structure...")
+print("RS encoder created with 5 data symbols -> 7 codeword symbols")
+print("Each symbol is 3 bits (GF(8))")
+
+mag = sum(t.abs().sum().item() for t in weights.values())
+print(f"Magnitude: {mag:.0f}")
+print(f"Parameters: {sum(t.numel() for t in weights.values())}")
+print("All structure tests passed!")

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7e1c20c46c1f40f79ee10f9ccd757813b780270fc414850006edb0f817e5004b
+size 4216