metadata
license: mit
tags:
- harmonic-gpt
- oscillator-dynamics
- clifford-algebra
- byte-level
- from-scratch
- monumental-systems
language: en
pipeline_tag: text-generation
Wire-2M (H16 L8, seed 42)
WireNative 2M — n_harmonics=16, 8 layers, baseline seed 42
Part of the Harmonic GPT research into oscillator-based neural computation.
Architecture: WireNative
| Property | Value |
|---|---|
| Parameters | 2,326,392 |
| BPB | 2.1861 |
| 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-s42", "model.safetensors"))
config = json.load(open(hf_hub_download("MonumentalSystems/wire-2m-s42", "config.json")))
All operations are native Clifford algebra / harmonic oscillator dynamics — no softmax attention, no MLP, no ReLU.