butler-compute/Cicero
AI model by butler-compute
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Model card & documentation
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Website · Research · Contact Cicero is a decision model: it reads a state (text, a chat, or up to 4 images) and up to 64 typed questions, and returns a calibrated probability for every option of each question. No text is generated: each question is answered in one forward pass instead of a generated answer. A request is a state and typed questions. We lay each question out as plain text (the context, then the question, then its options lettered A, B, C) and the model reads that prompt in a single forward pass. The answer is read off the model's scores for the option letters at the end of the prompt, turned into probabilities and calibrated for each question type. Two real rows of the public JDI suite, with the probabilities Cicero returned. BANKING77, one choice question over 77 intents: "I still have not received my new card,…
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Model overview
butler-compute/Cicero is a task-unspecified model repository published by butler-compute on Hugging Face. A library was not reported.
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Model facts
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- Recent downloads (30 days)
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- 1
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- Created
- 2026-11-05T06:44:04.000Z
- Last modified
- 2026-11-05T06:44:04.000Z
Compatibility and lineage
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-05T06:53:23.390Z. Daily imports are snapshots, not real-time monitoring.
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