basal-1.5-mini (1.5B) is the fastest model of the family, distilled from basal-1.5-max: high-volume routing, laptops and small GPUs. Part of the basal-1.5 family of typed-decision models for Polish and English. What it is. Inspired by System 1 (fast, intuitive) decision models such as Jev: instead of writing an answer, the model reads a state (a message, a document, retrieved passages, an agent trace, a web page as JSON) and answers a typed question about it (choice, yes/no noul, score, and in the basal engine multi and act) by returning a calibrated probability for each allowed answer, in one forward pass, without generating text. The answer never falls outside the options you give, and the probability says how sure the model is. What it is for: a dynamic classifier. The classes are described in the request, in plain language, so one model serves many tasks without retraining: routing with changing categories, rule and policy checks, questions about long documents, RAG decisions (relevance, sufficiency, conflicts, claim support, «cannot be determined»), urgency and risk scores, judging answers, agent and tool decisions, and triage with a confidence threshold. Each model also…
Модальности:
Генерация текста
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Диалог / чат
Задача: Генерация текста
Автор: Remek
Теги: llama, typed-decisions, decision-making, classification, calibration, polish, conversational, pl
Лайков: 3 | Загрузок: 758
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
