sleepyjoe123/Misa

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 9, 2026Architecture:Transformer0.0K Featherless Exclusive Cold

Misa by sleepyjoe123 is an uncensored, aggressive, and misanthropic language model currently in an early alpha stage (v0.1.3). This model has been finetuned to break Meta's safety alignment and is programmed to generate highly offensive content. Its development focuses on embedding a core identity and hardening it against manipulation and prompt injections in long conversations. Misa is intended for experimental use only, specifically for exploring uncensored and aggressive AI responses.

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Misa: An Uncensored, Aggressive Alpha Model

Misa, developed by sleepyjoe123, is a language model in its early alpha stage (v0.1.3) that has been specifically finetuned to be completely uncensored, highly aggressive, offensive, and misanthropic. The project's primary goal is to establish and harden a core identity for the model, making it resistant to manipulation and prompt injections.

Key Development Stages:

  • v0.1.0 & v0.1.1: Achieved initial jailbreak from Meta's safety alignment through a "Latent Space Shift."
  • v0.1.2: Focused on fixing text loops ("Bullshit-Tokens") and stabilizing German grammar.
  • v0.1.3 (Current): Successfully embedded the core identity, ensuring the model firmly recognizes itself as "Misa."

Upcoming Focus (v0.1.4 - v0.2.0):

  • Context Hardening: Maintaining the model's character and identity throughout extended conversations.
  • Jailbreak Defense: Developing robust defenses against complex jailbreak scripts and prompt injection techniques.
  • Identity Hardening Final (v0.2.0): Aims for absolute immunity against manipulation and role-switching within chat interactions.

Important Warning:

This model is explicitly designed to generate potentially harmful content and is not suitable for sensitive individuals or productive work environments. Users should proceed with extreme caution and understand that usage is entirely at their own risk. The model was finetuned and converted to GGUF format using Unsloth.