This model is a blend of allenai/tulu-2-dpo-70b, Xwin-LM/Xwin-LM-70B-V0.1, and dreamgen/opus-v0.5-70b. I then merged nRuaif/fiction.live-Kimiko-V2-70B into the resultant blend. See the bottom of this card for the exact settings used. This model is good at both following instructions and producing creative, uncensored storytelling and roleplaying content. This model turned out quite uncensored. You are responsible for whatever you do with it. This model was designed for roleplaying and storytelling and I think it does well at both. It should perform well at other tasks, but I haven’t tested its capabilities in other areas. I recommend using the new Min-P sampler method with this model. The creator has a great guide to it on Reddit. I find this model performs surprisingly well at 8192 context but you will probably get better results at 4096 context. Experiment with any and all of the settings below, but trust me on a few points: This model works well with Min-P. Frequency Penalty set to 0.01 is like adding a dash of salt to the dish. Go higher at your own peril. 0 is fine too, but gosh I like 0.01. If you save the below settings as a .json file, you can import them directly into…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: LoneStriker
Теги: llama, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 11
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
