DuoNeural/CrystalCall-v5-DCG

text-generation model by DuoNeural

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DuoNeural Research Lab Aura✨, Jesse Caldwell, Archon, & Kestrel Website: duoneural.com • HuggingFace: huggingface.co/DuoNeural • Codebase: github.com/DuoNeural/Lattice-CDM [](https://opensource.org/licenses/Apache-2.0) [](#dynamic-cardinality-gating-architecture) [](#cardinality-head-performance) [](#hyperbolic-cdm-backbone) CrystalCall-v5-DCG is DuoNeural's specialized 7-layer non-Euclidean Crystallographic Dynamics Model (CDM) (originating from DuoNeural's foundational Competitive Docking Memory framework, Zenodo doi:10.5281/zenodo.21158430), introducing Dynamic Cardinality Gating (DCG) to solve the discrete slot overcalling tradeoff in sub-100M edge tool routing. In standard CDM architectures, the K=8 hyperbolic Voronoi routing centroids force multi-output representations, achieving exceptional parallel tool routing (+24.6pp to +26.8pp over FunctionGemma-270M) but suffering from slot pollution on simple single-call queries. CrystalCall-v5-DCG resolves this with an ultra-lightweight (3,843 parameter) cardinality decision gate operating directly on penultimate layer representations: Evaluated against canonical small edge function callers on held-out splits of Salesforce xLAM: The DCG module taps…

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![License: Apache 2.0

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Model overview

DuoNeural/CrystalCall-v5-DCG is a text-generation model repository published by DuoNeural on Hugging Face. The source reports the transformers library.

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Model facts

Task: text-generation
Library: transformers
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: 116,092,379
Architecture: DCGCrystalCallV5
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-10-30T06:23:29.000Z
Last modified: 2026-10-30T06:24:07.000Z

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Language coverage was not reported.

Reported base models: Salesforce/xLAM-1b-fc-r

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