Create README.md
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README.md
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---
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datasets:
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- Squish42/bluemoon-fandom-1-1-rp-cleaned
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- OpenLeecher/Teatime
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- PygmalionAI/PIPPA
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tags:
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- not-for-all-audiences
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- nsfw
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---
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## What is PetrolDolphin?
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PetrolDolphin is the [Dolphin-2.0-Mistral-7B](https://huggingface.co/ehartford/dolphin-2.0-mistral-7b) model with the [PetrolLoRA](https://huggingface.co/Norquinal/PetrolLoRA) applied.
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The dataset consists of 2800 samples, with the composition as follows:
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* AICG Logs (~34%)
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* PygmalionAI/PIPPA (~33%)
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* Squish42/bluemoon-fandom-1-1-rp-cleaned (~29%)
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* OpenLeecher/Teatime (~4%)
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These samples were then back-filled using gpt-4/gpt-3.5-turbo-16k or otherwise converted to fit the prompt format.
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## Prompt Format
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The model uses the following prompt format:
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```
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---
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style: roleplay
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characters:
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[char]: [description]
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summary: [scenario]
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---
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<chat_history>
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Format:
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[char]: [message]
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Human: [message]
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```
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## Use in Text Generation Web UI
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Install the bleeding-edge version of `transformers` from source:
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```
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pip install git+https://github.com/huggingface/transformers
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```
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Or, alternatively, change `model_type` in `config.json` from `mistral` to `llama`.
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## Use in SillyTavern UI
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![](https://files.catbox.moe/2dkr28.png)
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As an addendum, you can include one of the following as the `Last Output Sequence`:
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```
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Human: In your next reply, write at least two paragraphs. Be descriptive and immersive, providing vivid details about {{char}}'s actions, emotions, and the environment.
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{{char}}:
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```
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```
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{{char}} (2 paragraphs, engaging, natural, authentic, descriptive, creative):
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```
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```
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[System note: Write at least two paragraphs. Be descriptive and immersive, providing vivid details about {{char}}'s actions, emotions, and the environment.]
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{{char}}:
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```
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The third one seems to work the best. I would recommend experimenting with creating your own to best suit your needs.
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