Quelix-8B-v0.1 is a Qwen 7B–class causal language model fine-tuned with LoRA to operationalize the Quelix cognitive framework developed at Ohsawa Lab of UT. This model is not intended to function as a general-purpose chatbot. It is an experimental research model designed to support a specific cognitive methodology: — clause-based reasoning — relaxed abductive inference — preservation of multiple coexisting hypotheses — explicit avoidance of prioritization, ranking, or conflict resolution The training objective is behavioral alignment, not accuracy. The model is not designed to provide correct, objective, or definitive answers. — Model name: Quelix-8B-v0.1 — Base model: Qwen 8B–class causal LM (e.g., Qwen2.5-7B-Instruct) — Fine-tuning method: LoRA fine-tuning (PEFT) — Institutional origin: Ohsawa Lab — how a language model can be conditioned to maintain ambiguity — abductive reasoning under uncertainty without forced convergence — interpretability and methodological transparency in hypothesis generation This model is research-only and should be used in contexts where ambiguity, plurality, and non-re — It will often refuse to select a…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: KenjiOU
Теги: qwen2, conversational, en
Лайков: 3 | Загрузок: 21
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
