Endevor/InfinityRP-v1-7B

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Mar 8, 2024License:apache-2.0Architecture:Transformer0.0K Open Weights Cold

Endevor/InfinityRP-v1-7B is an experimental 7 billion parameter language model developed by Endevor, designed to mitigate common large language model hallucinations in roleplay scenarios. This model focuses on ensuring the character waits for user responses and avoids making decisions for the user, aiming to create a more cooperative and "cozy" interactive experience. It incorporates specific formatting for character dialogs, narration, and internal thoughts, making it particularly suited for structured roleplaying applications.

Loading preview...

Endevor/InfinityRP-v1-7B: An Experimental Roleplay Model

Endevor/InfinityRP-v1-7B is an experimental 7 billion parameter model developed by Endevor, primarily designed to address common issues like character hallucination and over-eagerness in roleplaying interactions. The model's core philosophy is to ensure the AI character ({{char}}) consistently waits for the user's ({{user}}) response and avoids making decisions or actions on behalf of the user, fostering a more collaborative and "cozy" roleplay environment.

Key Capabilities & Features

  • Hallucination Mitigation: Specifically engineered to reduce instances of the AI character hallucinating or taking control of the narrative.
  • User-Centric Interaction: Prioritizes waiting for user input, preventing the AI from prematurely advancing the story or deciding for the user.
  • Structured Roleplay Formatting: Supports distinct formatting conventions for enhanced clarity in roleplay:
    • Character dialogs are enclosed in double quotes (e.g., "Hey, Anon...").
    • Narration can use asterisks or a default novel format.
    • Character internal thoughts are wrapped with backticks (e.g., `My heart skips a beat!`), which can be encouraged via system prompts.
  • Response Length Control: Accepts various response length parameters including tiny, short, medium, long, and huge.
  • Alpaca Prompt Format: Utilizes the Extended Alpaca prompt format for instructions.

Ideal Use Cases

  • Interactive Storytelling: Excellent for users seeking a more controlled and less intrusive AI partner in creative writing and collaborative storytelling.
  • Character-Focused Roleplay: Suited for scenarios where maintaining strict character boundaries and user agency is paramount.
  • Experimental AI Development: Useful for developers interested in exploring models designed with specific behavioral constraints for improved user experience in conversational AI.

Finetunes
3 models