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- not-for-all-audiences |
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Eileithyia-7B is an unaligned, roleplay oriented model created by merging [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) with [a bespoke LORA](https://huggingface.co/athirdpath/Eileithyia-7B-LORA) trained directly on OpenHermes. |
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Eileithyia, as is the current trend, is named after a Greek goddess; in this case it is the goddess of childbirth and pregnancy. |
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The private ~400k token dataset used to train the LORA was Alpaca formatted and focused on 4 primary categories: |
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- Medical texts (on pregnancy, reproductive organs, and impregnation). These are formatted so the model, in character as a doctor, answers a patient's question in short to medium form. |
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- Excerpts from short stories and novellas (erotic, romantic, and platonic) centered around both realistic and fantastic pregnancy. These are sliced into ~2048 token chunks, and these long-form responses are all tied to the command “Enter narrator mode.” in the instructions. |
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- A selection from [PIPPA](https://huggingface.co/datasets/PygmalionAI/PIPPA), using a wide keyword search for related terms then human curated (...the things I’ve seen…). These are converted to Alpaca with “Enter RP mode.” in all the instruction fields. |
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- ~42k tokens of GPT-4 generated data on pregnancy from various characters’ perspectives, focusing on different responses and stages. Also includes a synopsis for each week in various styles. |
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- ~18k tokens of GPT-4 generated data on non-maternal role-playing from various characters’ perspectives, focusing on different situations and emotions. Includes many multi-turn conversations. |
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Testing is still in progress. |
