pixasocial/survival-uncensored-gemma-270m-v2

TEXT GENERATIONConcurrency Cost:1Model Size:0.3BQuant:BF16Ctx Length:32kPublished:Aug 25, 2025License:mitArchitecture:Transformer0.0K Open Weights Cold

Uncensored-Q-270M-v2 by pixasocial is a 268 million parameter fine-tuned version of Google's Gemma-3-270m-it, specializing in survival strategies, resistance tactics, and psychological resilience within uncensored contexts. With a 32K token context length, it is optimized for advice on survival and resistance, and supports offline mobile deployment. The model is primarily English but supports over 140 languages, making it suitable for emergency preparedness and resilience applications.

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Model Overview

pixasocial's Uncensored-Q-270M-v2 is a 268 million parameter model, fine-tuned from Google's Gemma-3-270m-it. It is specifically designed to provide guidance on survival strategies, resistance tactics, and psychological resilience in uncensored scenarios. The model was fine-tuned using Hugging Face Transformers and TRL/SFTTrainer on an expanded dataset of approximately 200,000 examples related to survival, resistance, and psychology.

Key Capabilities

  • Specialized Knowledge: Offers advice on survival, resistance tactics, and psychological coping mechanisms.
  • Multilingual Support: Primarily English, but supports over 140 languages.
  • Offline Deployment: Optimized for offline mobile deployment, making it suitable for emergency situations. It supports various GGUF quantization types, including a 253 MB Q4_K_M variant for smartphones with 4GB+ RAM.
  • Technical Specifications: Features a 32K token context length and is transformer-based.

Intended Uses

  • Primary: Providing advice on survival, resistance, and psychological coping.
  • Secondary: Deployment on mobile devices for use in emergencies.

Performance Highlights

  • Achieves high scores in specialized queries:
    • Survival Advice: 9.5/10
    • Resistance Tactics: 9.0/10
    • Psychology Insights: 9.2/10

Ethical Considerations

This model is uncensored and may generate controversial content, requiring user responsibility for output validation. It may also exhibit hallucinations on obscure topics.