Xing4.0-29B-A4B-Minutes is a supervised fine-tuned (SFT) language model based on Xing4.0-29B-A4B, designed for generating structured meeting minutes from conversational or meeting transcription text. The model is fine-tuned on datasets constructed from dialogue and meeting transcripts paired with corresponding summaries or meeting minutes. — Training method: Supervised Fine-Tuning (SFT) — Base model: XingChen-AGI/Xing4.0-29B-A4B — Model type: Causal Language Model — Language: Chinese — Task: Summarization — SFT context length: 8192 The model is primarily intended for generating structured meeting minutes and summaries from conversational or meeting transcription text. Given a meeting transcript, the model can generate the following types of information: — Title: Generate a concise title that summarizes the main topic of the meeting. — Keywords: Extract representative keywords or key topics from the meeting content. — Abstract: Provide a concise summary covering the main discussion and overall conclusions. — Key Points: Identify and organize the major discussion points, important information, and key conclusions. — Action Items: Extract follow-up tasks, responsible parties,…
Модальности:
Генерация текста
Области применения:
Суммаризация
Задача: Генерация текста
Автор: harlynmivra
Теги: meeting-minutes, dialogue-summarization, meeting-summarization, TeleChat, MindSpore, summarization, zh
Лайков: 3 | Загрузок: 0
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
