Add Wire-2M (H16 L8, seed 42) checkpoint (step 0, bpb 2.1861)

README.md

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+---
+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](https://github.com/DavinciDreams/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
+
+```python
+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.

config.json

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+{
+  "architecture": "WireNative",
+  "n_groups": 7,
+  "n_harmonics": 32,
+  "n_layers": 8,
+  "d_model": 448,
+  "n_kan_coeffs": 4,
+  "vocab_size": 256,
+  "seq_len": 256,
+  "training": {
+    "step": 0,
+    "bpb": 2.186092
+  }
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:aae311b4fc4660fb4ff351c8a26887096f9581b252621babb56bf3e400f381d0
+size 9326240