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Alan Canto

AlanCantoFTW

Models in Library1
Datasets in Library0
Models on Hugging Face1
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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Text classification.

Reported licenses: cc-by-nc-4.0. Open a record to review its specific license and conditions.

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Models

Model · Text classification

ProKope-421M

Alan Canto

Creator, Sole Author & Lead Architect: Alan Canto Architecture: ModernBERT-large (System 1 Non-Autoregressive Decision Engine) Hardware Runtime: Trained, fine-tuned, and certified locally on NVIDIA GeForce RTX 3050 Attribution: Conceived, engineered, and published by Alan Canto. All rights reserved. ProKope 421M (named after the classical Stoic concept of disciplined, measured progress and operational mastery) is a high-speed, non-autoregressive System 1 decision model engineered by Alan Canto. Unlike autoregressive language models (which incur significant token latency, JSON parsing errors, and hallucination loops), ProKope 421M processes structured input states in a single forward pass…

Access requested at publisher cc-by-nc-4.0 421M parameters transformers