Decider-4B is a structured decision model based on TokenRhythm/NeoHorse-1-4B. It uses LoRA to fine-tune the base model and trains the decision head from scratch on our collected decision datasets. The model then undergoes global temperature calibration to further calibrate its outputs. It produces typed probability distributions (noul, choice, score) and is not a chat-generation model. Exact run settings, where recorded by the exporter, are retained in modelmanifest.json; reference scripts under provenance/recipereference/ describe the project recipes rather than prove the exact mixture or hyperparameters of this checkpoint. No additional head-only training phase is claimed for this…
Independent publisher
Roudone
roudone
Models in Library1
Datasets in Library0
Models on Hugging Face1
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Published tasks: Text classification.
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