tannedbum/L3-Nymeria-Maid-8B

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Jun 21, 2024License:cc-by-nc-4.0Architecture:Transformer0.0K Open Weights Cold

tannedbum/L3-Nymeria-Maid-8B is an 8 billion parameter language model with an 8192 token context length, created by tannedbum through a slerp merge of Sao10K/L3-8B-Stheno-v3.2 and princeton-nlp/Llama-3-Instruct-8B-SimPO. This model is specifically fine-tuned for roleplay and narrative generation, leaning towards NSFW content and a submissive persona. It is optimized for creative writing, story generation, and assistant-style tasks, offering improved prompt adherence and multi-turn coherency.

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Model Overview

tannedbum/L3-Nymeria-Maid-8B is an 8 billion parameter language model with an 8192 token context length, developed by tannedbum. It is a merged model, combining the strengths of Sao10K/L3-8B-Stheno-v3.2 and princeton-nlp/Llama-3-Instruct-8B-SimPO using the slerp merge method. This specific version, Nymeria-Maid, is characterized by a stronger influence from Stheno's weights, making it more inclined towards NSFW content and a submissive conversational style, distinguishing it from the more balanced 'Nymeria' version.

Key Capabilities

  • Roleplay and Narrative Generation: Optimized for creative writing, story generation, and roleplaying scenarios.
  • Improved Coherency: Enhanced multi-turn coherency and better adherence to prompts and instructions.
  • Balanced Content Handling: The base model, Stheno-v3.2, was refined to handle SFW and NSFW content more distinctly, improving storywriting and assistant-type tasks.
  • Instruction Following: Benefits from the inclusion of an instruct-tuned model, improving its ability to follow assistant-style instructions.

Use Cases

  • SillyTavern: Designed with presets for use in SillyTavern for interactive storytelling and character roleplay.
  • Creative Writing: Excels in generating narratives and story content, including both SFW and NSFW themes.
  • Assistant-style Tasks: Capable of handling general assistant-type queries with improved instruction adherence.