Norquinal/PetrolDolphin

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Oct 3, 2023License:cc-by-nc-4.0Architecture:Transformer0.0K Open Weights Cold

Norquinal/PetrolDolphin is a fine-tuned language model based on the Dolphin-2.0-Mistral-7B architecture, specifically enhanced for roleplay and creative text generation. It integrates the PetrolLoRA adapter, trained on a diverse dataset including AICG Logs, PygmalionAI/PIPPA, Squish42/bluemoon-fandom-1-1-rp-cleaned, and OpenLeecher/Teatime. This model is optimized for generating descriptive and immersive character interactions within a specified roleplay context, making it suitable for narrative-driven applications.

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PetrolDolphin: A Roleplay-Optimized Language Model

PetrolDolphin is a specialized language model developed by Norquinal, built upon the Dolphin-2.0-Mistral-7B base model. Its core enhancement comes from the integration of the PetrolLoRA adapter, which has been fine-tuned on a unique dataset designed for rich, interactive storytelling.

Key Capabilities

  • Enhanced Roleplay Generation: Specifically trained to excel in generating detailed and immersive character interactions.
  • Diverse Training Data: Utilizes a blended dataset including AICG Logs, PygmalionAI/PIPPA, Squish42/bluemoon-fandom-1-1-rp-cleaned, and OpenLeecher/Teatime, totaling 2800 samples.
  • GPT-4/GPT-3.5-turbo-16k Back-filling: Training data was processed and formatted using advanced GPT models to ensure high-quality prompt-response pairs.
  • Specific Prompt Format: Designed to work with a structured prompt format that includes style, characters, summary, and chat_history for consistent roleplay scenarios.

Good For

  • Creative Writing Applications: Ideal for generating narrative content, character dialogues, and interactive stories.
  • Roleplaying Interfaces: Optimized for use with tools like Text Generation Web UI and SillyTavern UI, with specific recommendations for Last Output Sequence to guide generation.
  • Descriptive and Immersive Text: Excels at producing multi-paragraph, vivid descriptions of character actions, emotions, and environments, as demonstrated by suggested system notes for better output control.

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