Odyssey_PyPro_10M / config.json
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Odyssey_PyPro_10M: English -> Python rsat-v1 network (safetensors), runtime, usage, provenance
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{
"model_name": "Odyssey_PyPro_10M",
"architecture_id": "rsat-v1",
"description": "recurrent signed-add threshold network",
"H": 2880,
"V": 260,
"D_IN": 270,
"ticks_per_symbol": 8,
"symbols": {
"bytes": "0-255",
"BOS": 256,
"EOS": 257,
"SEP": 258,
"PAD": 259
},
"input_channels": {
"symbol": "0-259",
"mode_prefix": 260,
"mode_output": 261,
"phase": "262-269"
},
"tensors": {
"R": [
2880,
2880,
"int8 in {-1,0,1}"
],
"I": [
2880,
270,
"int8 in {-1,0,1}"
],
"O": [
260,
2880,
"int8 in {-1,0,1}"
],
"theta": [
2880,
"int16"
],
"bias": [
260,
"int16"
]
},
"nominal_parameter_slots": 9823940,
"active_units": 2877,
"nonzero_connections": {
"R": 7752,
"I": 4812,
"O": 481,
"theta_nonzero": 2880,
"bias": 0
},
"input_limit_bytes": 512,
"output_limit_symbols": 2049,
"rejection_output": "# UNSUPPORTED\n",
"canonical_sha256": "269051304c640c95536fd76e837523c3c720197213d2ea4da705e6a92371de36",
"training": "none (gradient-free; symbolic induction from teaching examples + deterministic neural compilation)"
}