Llama3 trained on our RP datasets, we tried to have a balance between the ERP and the RP, not too horny, but just enough. We also added some non-RP dataset, making the model less dumb overall. It should look like a 40%/60% ratio for Non-RP/RP+ERP data. This model have received the Orthogonal Activation Steering treatment, meaning it will rarely refuse any request. If you consider trying this model please give us some feedback either on the Community tab on hf or on our Discord Server. — Aesir datasets — NoRobots — limarp — 8k ctx — toxic-dpo-v0.1-sharegpt — ToxicQAFinal — Luminae-i1 (70B/70B-alt) (i2 was not existing when the 70b started training) | Luminae-i2 (8B) (this one gave better results on the 8b) — Ikari’s Dataset — Squish42/bluemoon-fandom-1-1-rp-cleaned — 50% (randomly) — NobodyExistsOnTheInternet/PIPPAsharegptv2test — 5% (randomly) — cgato/SlimOrcaDedupCleaned — 5% (randomly) — Airoboros (reduced) — Capybara (reduced) — Initial LumiMaid 8B Fine
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: LoneStriker
Теги: llama, not-for-all-audiences, nsfw, conversational, text-generation-inference, endpoints_compatible, 8-bit, exl2
Лайков: 3 | Загрузок: 17
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
