DuoNeural/Sub-Lattice-v3-Euclidean-17M

AI model by DuoNeural

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Sub-Lattice-v3-Euclidean-17M serves as the rigorous flat-geometry (c = 0, curvature-free) ablation control for the DuoNeural Crystallographic Dynamics Model series. While retaining identical causal attention layers, 8-slot competitive docking routers, and inter-layer Crystal Telepathy, Euclidean-17M computes routing distances using standard flat Euclidean metrics (‖u - v‖₂). The resulting failure modes provide decisive empirical proof of why hyperbolic geometry is non-negotiable for language modeling: The comparison between hyperbolic models and Euclidean-17M establishes that AdS holographic organization is causally driven by negative curvature: , ,…

DuoNeural/Sub-Lattice-v3-Euclidean-17M on Hugging Face A short preview, not the full document.

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Model overview

DuoNeural/Sub-Lattice-v3-Euclidean-17M is a task-unspecified model repository published by DuoNeural on Hugging Face. The source reports the pytorch library.

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Model facts

Task: Not reported
Library: pytorch
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: 30,422,264
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-10-24T06:29:51.000Z
Last modified: 2026-10-24T06:29:54.000Z

Compatibility and lineage

Reported languages: en

Reported base models: HuggingFaceTB/SmolLM2-360M-Instruct

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