Wire-2M (H16 L8, multidomain)

WireNative 2M โ€” multi-domain training (philosophy + code + science)

Part of the Harmonic GPT research into oscillator-based neural computation.

Architecture: WireNative

Property Value
Parameters 2,376,024
BPB 0.0000
Training step 0
n_harmonics 32
n_layers 8
n_groups 7
d_model 448
Vocab 256 (raw bytes)

Usage

from huggingface_hub import hf_hub_download
from safetensors.torch import load_file

weights = load_file(hf_hub_download("MonumentalSystems/wire-2m-multidomain", "model.safetensors"))
config = json.load(open(hf_hub_download("MonumentalSystems/wire-2m-multidomain", "config.json")))

All operations are native Clifford algebra / harmonic oscillator dynamics โ€” no softmax attention, no MLP, no ReLU.

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