This repo contains a merge of pre-trained language models created using mergekit. This merge takes advantage of task arithmetic to incorporate the influence of two additional models at low weight in order to improve default creative outputs. Tested at temperature 1.0 with minP 0.01; that was it. Mistral prompt formats for Nemo should work, although I successfully tested with a variant: Testing with a blank sysprompt was not awful, though a good sysprompt will elicit more desired behavior. This model was merged using the task arithmetic merge method using grimjim/mistralai-Mistral-Nemo-Base-2407 as a base. The following models were included in the merge: grimjim/magnum-consolidatum-v1-12b nbeerbower/Mistral-Nemo-Prism-12B TheDrummer/Rocinante-12B-v1.1 grimjim/magnum-twilight-12b * grimjim/mistralai-Mistral-Nemo-Instruct-2407 The following YAML configuration was used to produce this model:
Модальности:
Генерация текста
Задача: Генерация текста
Автор: grimjim
Теги: mistral, mergekit, merge, text-generation-inference, endpoints_compatible
Лайков: 4 | Загрузок: 16
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
