MonumentalSystems/wire-9m-best

Wire-9M (H32 L8)

WireNative 9M — n_harmonics=32, 8 layers, best BPB checkpoint

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

Architecture: WireNative

Property	Value
Parameters	8,894,520
BPB	3.0866
Training step	5,000
n_harmonics	64
n_layers	8
n_groups	7
d_model	896
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-9m-best", "model.safetensors"))
config = json.load(open(hf_hub_download("MonumentalSystems/wire-9m-best", "config.json")))

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