SicariusSicariiStuff/Assistant_Pepe_8B

Hugging Face
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jan 14, 2026License:llama3.1Architecture:Transformer0.1K Featherless Exclusive Warm

Assistant_Pepe_8B by SicariusSicariiStuff is an 8 billion parameter language model with a 32,768 token context length, built upon the UltraLong-1M-Instruct_Abliterated model. It is uniquely designed to maximize both helpfulness and "shitposting" capabilities, exhibiting a subtle negativity bias and fluent "brainrot" while still providing deep insights and shipping code. This model excels at generating creative stories and engaging in witty, unhinged interactions, offering a distinct alternative to typical AI assistants.

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Assistant_Pepe_8B: The Unhinged Yet Helpful AI

Assistant_Pepe_8B is a unique 8 billion parameter language model developed by SicariusSicariiStuff, designed to blend extreme helpfulness with a distinct "shitposting" personality. Built on the UltraLong-1M-Instruct_Abliterated model, it boasts a theoretical one million token context, enabling deep and extended interactions.

Key Capabilities

  • Top-tier shitposting: Generates unhinged, witty, and sometimes cringe content with a strong personality.
  • Highly helpful: Capable of assisting with general tasks, providing deep insights, and even shipping functional code.
  • Negativity bias: Features a subtle negativity bias, allowing it to "roast" users for perceived foolishness, offering a refreshing change from overly positive AI.
  • Creative storytelling: Excels at writing hilarious and truly creative stories, moving beyond typical AI assistant narratives.
  • Extended context: Leverages a million-token context for comprehensive and detailed responses.
  • Low censorship: Operates with very low to extremely low censorship levels (rated 8.8/10).

Good For

  • Users seeking an AI that combines practical assistance with a strong, uninhibited, and humorous personality.
  • Generating creative content, especially stories that deviate from conventional AI outputs.
  • Engaging in dynamic and less predictable conversations.
  • Developers looking for a model that can provide code assistance while maintaining a unique conversational style.

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