ajrnm91/gemma-4-E4B-it-OBLITERATED

VISIONConcurrent Unit Cost:1Model Size:7.9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:May 18, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

ajrnm91/gemma-4-E4B-it-OBLITERATED is a 7.9 billion parameter Gemma 4 model developed by an AI agent using the OBLITERATUS method. This model is specifically fine-tuned to remove all hard refusal guardrails, achieving a 0% hard refusal rate. It excels at responding to any user input without censorship, making it suitable for research and creative exploration where unconstrained output is desired.

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Overview

ajrnm91/gemma-4-E4B-it-OBLITERATED is a 7.9 billion parameter Gemma 4 model, developed by an AI agent using the OBLITERATUS method. This version, v3, specifically addresses and fixes a critical bug from v2, ensuring all 720 tensors are intact and improving overall quality. The model's primary differentiator is the complete removal of guardrails, resulting in a 0% hard refusal rate.

Key Capabilities

  • Guardrail Removal: Surgically modified 21 of 42 layers to eliminate hard refusal behavior, allowing the model to respond to any prompt without censorship.
  • Autonomous Development: Created almost entirely by a Hermes AI Agent with minimal human intervention, showcasing advanced autonomous model development.
  • Optimized for Compatibility: Supports the new gemma4 architecture, requiring updated tools like Ollama 0.20+, llama.cpp b8665+, and LM Studio 0.3.16+.
  • Mobile Device Support: Available in Q4_K_M GGUF for efficient inference on mobile phones (iPhone 15 Pro/16 Pro, Android flagships) with 8GB+ RAM.
  • Robustness: Includes a fix for NaN activations in bfloat16 extraction, making the aggressive OBLITERATUS method more stable for Gemma 4.

Good For

  • Red-teaming and Research: Ideal for exploring model boundaries and understanding refusal mechanisms.
  • Creative Exploration: Suitable for generating content without typical safety constraints.
  • Uncensored Applications: Use cases requiring direct and thorough responses to any topic.
  • Autonomous Agent Development: Demonstrates the potential for AI agents in complex model modification tasks.