Eunoia-4B-Mini is a lightweight but advanced reasoning-focused language model designed to improve long-horizon coherence, goal tracking, and adaptive problem solving. Unlike conventional instruction-tuned models that operate in a single-pass generation loop, Eunoia introduces an external cognitive control layer that enables: — Explicit goal hierarchies — Step-wise evaluation and retry logic — Adaptive goal mutation under failure — Controlled advancement or abandonment of reasoning paths The result is a model that remains compact (~4B parameters) while exhibiting strong multi-step reasoning stability and reduced derailment over long outputs. This release is intended as a research-oriented open-source baseline for goal-driven and agentic LLM systems. — Developed by: SHV Groups Pvt. Ltd. — Model type: Decoder-only transformer with external reasoning controller — Language(s): English — License: Apache 2.0 — Finetuned from: Qwen/Qwen3-4B-Instruct-2507 — Explicit Control over Implicit Guessing Reasoning structure is represented explicitly rather than being hidden inside token probabilities. — Adaptive Recovery instead of Blind Retry Failure is treated as a signal to restructure goals,…
Модальности:
Генерация текста
Области применения:
Логика и рассуждение
Задача: Генерация текста
Автор: shvgroups
Теги: reasoning, planning, agent, long-horizon, adaptive, goal-driven, en
Лайков: 3 | Загрузок: 0
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
