sh0ck0r/Strawberrylemonade-L3-70B-v1.2-heretic

TEXT GENERATIONConcurrency Cost:4Model Size:70BQuant:FP8Ctx Length:32kPublished:Mar 8, 2026License:llama3Architecture:Transformer0.0K Cold

sh0ck0r/Strawberrylemonade-L3-70B-v1.2-heretic is a 70 billion parameter decensored language model derived from sophosympatheia/Strawberrylemonade-L3-70B-v1.2 using the Heretic tool. This model is a merge of several Llama 3-based models, specifically optimized for roleplaying and storytelling with enhanced creativity and expressiveness. It features a 32768 token context length and is designed to produce uncensored outputs, making it suitable for applications requiring unrestricted narrative generation.

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sh0ck0r/Strawberrylemonade-L3-70B-v1.2-heretic: Decensored Roleplay LLM

This model is a 70 billion parameter, decensored version of sophosympatheia/Strawberrylemonade-L3-70B-v1.2, created using the Heretic v1.2.0 tool. It is a merge of multiple Llama 3-based models, including zerofata/L3.3-GeneticLemonade-Final-v2-70B, zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B, deepcogito/cogito-v1-preview-llama-70B, and arcee-ai/Arcee-SuperNova-v1, utilizing the NuSLERP merge method. The primary goal of this model is to provide an uncensored experience, specifically tailored for roleplaying and storytelling with improved creativity and expressiveness.

Key Capabilities

  • Decensored Output: Significantly reduced refusals (21/100 compared to 99/100 in the original model), allowing for unrestricted content generation.
  • Enhanced Roleplaying & Storytelling: Designed to excel in immersive narrative development, character portrayal, and creative ideation.
  • Configurable Output Style: Highly responsive to sampler settings like min-p and temperature, enabling users to fine-tune for either reliable, coherent responses or more creative, unpredictable outputs.
  • Llama 3 Base: Benefits from the underlying architecture and capabilities of the Llama 3 family.

Good For

  • Creative Writing Applications: Ideal for generating diverse and imaginative stories, scenarios, and dialogues.
  • Roleplaying Bots and Simulations: Suited for developing characters with distinct personalities and engaging in dynamic, turn-based roleplay.
  • Unrestricted Content Generation: For use cases where content moderation or refusal behavior is undesirable, particularly in creative or experimental contexts.
  • Experimentation with Sampler Settings: Users who wish to explore the impact of various generation parameters on model output.