card(atelier): MEASURED nano silhouette — not a 1.5B retrain
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README.md
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library_name: numpy
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tags:
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- governed-ai
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- khipu
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- szl-holdings
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---
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# Moons-Nano
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Two
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Sibling card: [SZLHOLDINGS/szl-khipu](https://huggingface.co/SZLHOLDINGS/szl-khipu)
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from szl_khipu.train import moons
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print(ev["acc"], ev["loss"])
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# REPORTED: acc 0.93 · loss ~0.13 on the training moons
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moons.save_npz("moons.npz", weights)
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```
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- Trained here on CPU NumPy. Honesty **REPORTED**. Energy **UNAVAILABLE**.
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##
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## Honesty
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| Claim | Label |
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| Λ |
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library_name: numpy
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tags:
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- governed-ai
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- szl-holdings
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- doctrine-v11
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- nano
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- measured
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---
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# Moons-Nano
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Two interlocking moons. A 2-8-2 tanh MLP. The toy that teaches fail-closed before anyone touches 1.5B.
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**Family.** nano · **Evidence.** MEASURED · **Weights.** numpy · **Params.** 2-8-2
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Hub: [SZLHOLDINGS/Moons-Nano](https://huggingface.co/SZLHOLDINGS/Moons-Nano)
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## The cut
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Accuracy is the wrong headline. We publish holdout accuracy AND silhouette AND the decision boundary you can click. Leaders hide the toy. We hang it in the foyer.
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A model card that is a laboratory: click the plane, watch the gate, read the loss.
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### Silhouette → leave → SZL
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| Leader | Take, then tweak |
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| Anthropic | Small, inspectable, no capability theater. |
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| NVIDIA | MLP instead of cuDNN flex — the kernel idea at 2D. |
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| Unsloth | SGD on 400 points, not QLoRA. Same honesty about scale. |
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Nobody else ships this combination. That is the point of a one-of-one.
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## Intended use
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Onboard the cut: measured numbers, visible boundary.
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## Limitations
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- Toy. 2D. Noise 0.13. Not a product model.
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## Honesty
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| Claim | Label |
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| This card's numbers | MEASURED |
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| Energy / joules | UNAVAILABLE unless a signed meter says MEASURED |
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| Λ uniqueness | Conjecture 1 OPEN — not a theorem |
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| GGUF as the signed object | FALSE |
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Doctrine v11 LOCKED · 749 declarations · 14 axioms · 163 sorries · locked-proven 8.
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Apache-2.0. Copyright 2026 SZL Holdings · Stephen P. Lutar Jr. · ORCID [0009-0001-0110-4173](https://orcid.org/0009-0001-0110-4173).
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