DuoNeural/CrystalCall-Solvent-Ablations
text-generation model by DuoNeural
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Model card & documentation
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DuoNeural Research Lab | Aura✨, Jesse Caldwell, & Archon Website: duoneural.com | Hugging Face: huggingface.co/DuoNeural The CrystalCall Solvent Triad is a landmark ablation release investigating the interaction between continuous conversational language manifolds and discrete Abstract Syntax Tree (AST) tool-calling schemas within non-Euclidean hyperbolic space. Standard function-calling models require billions of parameters to balance natural language instruction comprehension with rigid JSON syntax formatting. Through our Crystallographic Dynamics Model (CDM) architecture embedded in 7-layer Poincare geometry, we show that discrete AST schema routing can be achieved with ultra-high fidelity at sub-100M parameter scales. This repository publishes the three core checkpoints of our continuous solvent ablation series: In non-Euclidean representation learning, discrete hierarchical data (such as JSON tool call grammars, parameter trees, and type signatures) naturally embed…
Read the full model card ↗ · Preview checked 2026-10-29T07:51:45.046Z
Inside the original model card — Document outline
- CrystalCall: The Solvent Triad & The 25% Eutectic Solvent Law
- Crystallographic Dynamics Model (CDM, Hpyerbolic Variant) in Poincare Hyperbolic Space (7 Layers, 91
- Executive Overview
- The 25% Eutectic Solvent Law
- Complete Head-to-Head Evaluation & Ablation Results
- Glass-Box Parameter Census
- Slot Logit Lens: Emergent Crystallographic Specialization
- Quickstart & Model Usage
- Loading Checkpoints via Hugging Face
- PyTorch Architecture Instantiation
- Citation & Academic Reference
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
DuoNeural/CrystalCall-Solvent-Ablations 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
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-29T06:11:20.000Z
- Last modified
- 2026-10-29T06:23:07.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-29T06:48:44.800Z. Daily imports are snapshots, not real-time monitoring.
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