Aratako/Ninja-v1-RP-expressive

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:May 21, 2024License:cc-by-nc-4.0Architecture:Transformer0.0K Open Weights Cold

Aratako/Ninja-v1-RP-expressive is a 7 billion parameter language model developed by Aratako, fine-tuned for expressive roleplay. This model enhances roleplay capabilities by merging the Aratako/Ninja-v1-RP base with derivatives of Elizezen/Antler-7B, specifically to improve expressive quality. It utilizes a complex mergekit strategy, including Task Vector addition and DARE TIES, to achieve nuanced character interactions within a 4096 token context length. The primary use case is generating detailed and expressive roleplay scenarios, particularly in Japanese.

Loading preview...

Aratako/Ninja-v1-RP-expressive: Enhanced Roleplay Model

This 7 billion parameter model, developed by Aratako, is specifically designed for expressive roleplay scenarios. It builds upon the existing Aratako/Ninja-v1-RP model by integrating expressive capabilities from derivatives of Elizezen/Antler-7B, a novel generation model.

Key Capabilities & Features

  • Enhanced Expressiveness: Merged with models like Elizezen/Antler-7B derivatives to improve the richness and detail of character expressions and narrative descriptions in roleplay.
  • Roleplay Optimization: Specifically fine-tuned for generating dynamic and engaging roleplay interactions, focusing on character consistency and emotional depth.
  • Complex Merging Strategy: Utilizes mergekit with advanced techniques such as Task Vector addition (incorporating models like senseable/WestLake-7B-v2, SanjiWatsuki/Kunoichi-DPO-v2-7B, SanjiWatsuki/Silicon-Maid-7B, and SanjiWatsuki/Loyal-Macaroni-Maid-7B) and DARE TIES for precise model integration.
  • Vicuna Prompt Format: Employs the Vicuna chat template, supporting detailed system prompts for character and world-building, and requiring eos_token for multi-turn conversations.

Good For

  • Detailed Roleplay Generation: Ideal for users seeking to generate rich, expressive, and character-driven roleplay narratives.
  • Interactive Storytelling: Suitable for applications requiring an AI to embody specific characters with defined personalities and speaking styles.

Limitations

  • Due to the merging process, the model may occasionally generate user-side dialogue or shift into a more novel-like writing style. This can often be mitigated through few-shot prompting or regeneration.

Finetunes
7 models