This model is based on “https://huggingface.co/AXCXEPT/EZO-Qwen2.5-32B-Instruct” and automatically performs “Chain-Of-Thought” and “RAG” as custom processing to compensate for knowledge that LLM itself does not have This is an LLM with additional custom processing. Base model: “AXCXEPT/EZO-Qwen2.5-32B-Instruct” is based on Qwen/Qwen2.5-32B-Instruct with multiple tunings to improve overall performance from the Base model. このモデルは、「 https://huggingface.co/AXCXEPT/EZO-Qwen2.5-32B-Instruct 」 をベースとして、カスタム処理として「Chain-Of-Thought」と「RAG」を自動で行い、LLM自身が持っていない知識を補うカスタムの処理を追加したLLMです。 ベースとなるモデル：「AXCXEPT/EZO-Qwen2.5-32B-Instruct」は、Qwen/Qwen2.5-32B-Instructをベースに複数のチューニングを施し、Baseモデルから総合的なパフォーマンスを向上させたモデルです。 Auto-CoT-RAG (Automatic Chain of Thought with Real-time Augmented Generation) technology is implemented. In addition to providing a multi-faceted mechanism for internalizing Internet search results, which are often incorporated into systems, it also realizes manual chain of thought processing for internal processing. This is an LLM x program style technique. Auto-CoT (Chain of Thought): internally deepens thinking through multiple steps, allowing for more complex reasoning. Real-time Knowledge…
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: AXCXEPT
Теги: qwen2, chat, conversational, custom_code, ja, en
Лайков: 3 | Загрузок: 26
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
