---
datasets:
- Squish42/bluemoon-fandom-1-1-rp-cleaned
- OpenLeecher/Teatime
- PygmalionAI/PIPPA
tags:
- not-for-all-audiences
- nsfw
license: cc-by-nc-4.0
---
## What is PetrolLM-Claude-Chat?
PetrolLM-Claude-Chat is the [CollectiveCognition-v1.1-Mistral-7B](https://huggingface.co/teknium/CollectiveCognition-v1.1-Mistral-7B) model with the [PetrolLoRA](https://huggingface.co/Norquinal/PetrolLoRA) applied.

The dataset (for the LoRA) 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 uses the following prompt format:
```
---
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.