Create README.md

README.md

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+---
+datasets:
+- Squish42/bluemoon-fandom-1-1-rp-cleaned
+- OpenLeecher/Teatime
+- PygmalionAI/PIPPA
+tags:
+- not-for-all-audiences
+- nsfw
+---
+## What is PetrolOrca?
+PetrolOrca is the [Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) model with the [PetrolLoRA](https://huggingface.co/Norquinal/PetrolLoRA) applied.
+
+The dataset consists of 2800 samples, with the composition as follows:
+* AICG Logs (~34%)
+* PygmalionAI/PIPPA (~33%)
+* Squish42/bluemoon-fandom-1-1-rp-cleaned (~29%)
+* OpenLeecher/Teatime (~4%)
+
+These samples were then back-filled using gpt-4/gpt-3.5-turbo-16k or otherwise converted to fit the prompt format.
+
+## Prompt Format
+The model was finetuned with a prompt format similar to the original SuperHOT prototype:
+```
+---
+style: roleplay
+characters:
+  [char]: [description]
+summary: [scenario]
+---
+<chat_history>
+Format:
+[char]: [message]
+Human: [message]
+```
+
+## Use in Text Generation Web UI
+Install the bleeding-edge version of `transformers` from source:
+```
+pip install git+https://github.com/huggingface/transformers
+```
+Or, alternatively, change `model_type` in `config.json` from `mistral` to `llama`.
+
+## Use in SillyTavern UI
+![](https://files.catbox.moe/2dkr28.png)
+As an addendum, you can include one of the following as the `Last Output Sequence`:
+```
+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.
+{{char}}:
+```
+```
+{{char}} (2 paragraphs, engaging, natural, authentic, descriptive, creative):
+```
+```
+[System note: Write at least two paragraphs. Be descriptive and immersive, providing vivid details about {{char}}'s actions, emotions, and the environment.]
+{{char}}:
+```
+The third one seems to work the best. I would recommend experimenting with creating your own to best suit your needs.
+
+## Finetuing Parameters
+- LoRA Rank: 64
+- LoRA Alpha: 16
+- LoRA Dropout: 0.1
+- BF16 Training
+- Cutoff Length: 2048
+- Training Epoch(s): 2