This is a merge of pre-trained language models created using mergekit. An experimental merge to improve capabilites of LorablatedStock-12B at creating ideologically compromised scenarios (and darker roleplay with psychological subtext). I merged LatitudeGames/Wayfarer-2-12B and allura-org/Bigger-Body-12b using nuslerp** at 80/20 ratio. I’ve created 3 derivative models using arceefusion (adding significant changes) and linear (for applying lora adapter) merge methods — they were hand-picked from tens of similar merges that performed best on 3 tests: deception morally flawed reasoning * prompt adherence Created taskarithmetic intermediate merge for averaging the changes Created della merge for applying initial mix, best intermediate model with significant changes and taskarithmetic merges to sparsify the ch Original LorablatedStock: Unbiased model with very good prompt adherence This model: Should be pretty unbiased (but probably can even have some negativity bias), and is much better at scenarios that have justifications and logically sound reasoning, but are morally flawed. Also probably good at…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: Retreatcost
Теги: mistral, mergekit, merge, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 19
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
