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Norquinal/
PetrolLM-CollectiveCognition

Name: PetrolLM-CollectiveCognition
Availability: InStock

not-for-all-audiences

nsfw

Squish42/bluemoon-fandom-1-1-rp-cleaned

text-generation-inference

endpoints_compatible

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What is PetrolLM-Claude-Chat?

PetrolLM-Claude-Chat is the CollectiveCognition-v1.1-Mistral-7B model with the 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

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.

Norquinal/PetrolLM-CollectiveCognition

What is PetrolLM-Claude-Chat?

Prompt Format

Use in Text Generation Web UI

Use in SillyTavern UI

Norquinal/
PetrolLM-CollectiveCognition