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

AI model by DuoNeural

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Sub-Lattice-v3-Spherical-17M provides the positive sectional curvature control (c > 0, hypersphere S^d) for the DuoNeural Crystallographic Dynamics Model pentathlon. While hyperbolic manifolds expand volume exponentially (sinh^{d-1}(r)), spherical manifolds contract volume radially (sin^{d-1}(r)), creating severe geometric crowding. Spherical-17M yielded the worst validation performance across the entire benchmark suite: The spherical metric contracts space at larger geodesic distances: Because natural language is organized as a discrete, nested syntactic tree (tokens belong to subwords, subwords to phrases, phrases to clauses, clauses to documents), the number of nodes expands exponentially with depth. Attempting to embed an exponentially expanding tree into a spherical manifold…

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Model overview

DuoNeural/Sub-Lattice-v3-Spherical-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: 2026-10-24T06:29:55.000Z
Last modified: 2026-10-24T06:29:58.000Z

Compatibility and lineage

Reported languages: en

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

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Source: Hugging Face Hub. Metadata observed 2026-10-24T06:46:27.670Z. Daily imports are snapshots, not real-time monitoring.

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