a llama based model i made thru extensive training and merging ill explain later i literally made so many models today Title: Divergent Knowledge Enhancement through Retrograde Merging Strategies: Redefining Accuracy Perspectives in Language Model Evolution Abstract: Have you picked up any bad habits, or have you ever learned to do something incorrectly, only to realize you must completly relearn whatever it is you’re trying to accomplish? In this proposal, we present an innovative and unconventional approach to enhancing the performance and knowledge base of natural language models. Our proposed method, titled ‘Divergent Knowledge Enhancement through Retrograde Merging Strategies’ (DKE-RS), aims to challenge traditional practices in model development by incorporating a deliberate back-and-forth merger between high and low accuracy language models. The initial conceptualization of DKE-RS stemmed from the realization that learning often encompasses both acquisition and unlearning, as encapsulated by the quote, «learning is just as sacred as unlearning.» The proposed technique commences with a baseline model, ‘blur-7b,’ attaining an accuracy rate of 72.1%, subsequently merged with a…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: liminerity
Теги: llama, conversational, model-index, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 83
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
