Lewdiculous/lwd-Mirau-7b-RP-Merged

TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Jan 11, 2025License:unknownArchitecture:Transformer0.0K Cold

Lewdiculous/lwd-Mirau-7b-RP-Merged is a 7.6 billion parameter language model based on Qwen/Qwen2.5-7B-Instruct, fine-tuned by mouseEliauk for first-person narrative generation. It excels at transforming user actions into immersive stories with environmental descriptions, psychological activities, and plot progression. This model is specifically designed for text-based adventures and single-character narrative experiences, utilizing a "story flow chain of thought" training method for coherent storytelling. It supports a 131072 token context length and is multilingual, supporting languages like Chinese, English, French, Spanish, and more.

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Overview

Lewdiculous/lwd-Mirau-7b-RP-Merged is a 7.6 billion parameter model, a merged LoRA adaptation of the Qwen/Qwen2.5-7B-Instruct base model, developed by mouseEliauk. It is specifically designed for first-person narrative generation, transforming simple user actions into vivid storytelling. The model employs a unique "story flow chain of thought" training method to ensure continuous and coherent narrative progression, making it suitable for immersive text-based experiences.

Key Capabilities

  • Action-to-Narrative Render: Converts user inputs (basic actions, exploration, inner monologue, observation) into detailed narratives.
  • Immersive Storytelling: Generates environmental descriptions, psychological activities, and plot developments.
  • Coherent Narrative Flow: Utilizes a "story flow chain of thought" method to link user inputs with previous context.
  • Multilingual Support: Capable of processing and generating text in numerous languages including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, and Arabic.

Important Notes & Limitations

  • First-Person Perspective Only: The model is exclusively designed for first-person narrative.
  • Not for Dialogue: It is not suitable for dialogue interactions, as outputs may be unstable.
  • Single-Character Focus: Best used for single-character narrative experiences.

Good For

  • Text-based adventure games.
  • Mystery story generation.
  • Exploring imaginative scenarios through narrative.
  • Applications requiring detailed, continuous first-person storytelling from user actions.