This is quantized version of google/gemma-7b-aps-it created using llama.cpp This model card corresponds to the 7B finetuned version of the Gemma-APS model. You can also visit the model card of the 2B finetuned model. Scalable and Domain-General Abstractive Proposition Segmentation Gemma Technical Report Responsible Generative AI Toolkit Gemma on Kaggle Authors: Mohammad Javad Hosseini, Yang Gao, Tim Baumgärtner, Alex Fabrikant, Reinald Kim Amplayo Summary description and brief definition of inputs and outputs. Gemma-APS is a generative model and a research tool for abstractive proposition segmentation (APS for short), a.k.a. claim extraction. Given a text passage, the model segments the content into the individual facts, statements, and ideas expressed in the text, and restates them in full sentences with small changes to the original text. This model can be used for research where there is a need to break down text content into meaningful components. Applications include grounding, retrieval, fact-checking, and evaluation of generation tasks (such as summarization) where it can be useful to divide up individual propositions (claims) so that they can be processed independently.…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: QuantFactory
Теги: gguf, endpoints_compatible, conversational
Лайков: 4 | Загрузок: 379
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
