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. 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, exl2
Лайков: 3 | Загрузок: 13
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
