Of all my findings in the Progenitor series, this is the culmination of all the best settings. I fixed the typo I had earlier where it wasn’t computing in float32, but 6 models in computed in float32 is a bit taxing on resources and time and so I left it for the configuration I thought was the best (it’s not something I can afford to do with every model I make, just the worthwhile ones). This one also uses the Sicari’s tokenizer which I find the best. This is a merge of pre-trained language models created using mergekit. This model was merged using the Linear DELLA merge method using nbeerbower/Llama-3.1-Nemotron-lorablated-70B as a base. The following models were included in the merge: TheDrummer/Anubis-70B-v1 EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1 Sao10K/70B-L3.3-Cirrus-x1 SicariusSicariiStuff/NegativeLLAMA70B * Sao10K/L3.1-70B-Hanami-x1 The following YAML configuration was used to produce this model:
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: TareksGraveyard
Теги: llama, mergekit, merge, conversational, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 28
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
