Newbieprompter1990/Huihui-gemma-4-12B-coder-fable5-composer2.5-v1-abliterated

TEXT GENERATIONConcurrent Unit Cost:1Model Size:12BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 28, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The Newbieprompter1990/Huihui-gemma-4-12B-coder-fable5-composer2.5-v1-abliterated is a 12 billion parameter uncensored language model, derived from yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1. This model has undergone 'abliteration' to significantly reduce safety filtering, making it capable of generating sensitive or controversial content. With a 32768 token context length, it is intended for research and experimental use where reduced safety mechanisms are specifically desired.

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Overview

This model, developed by Newbieprompter1990, is an uncensored variant of the yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1 model. It has been processed using an 'abliteration' technique, specifically designed to remove refusal behaviors and significantly reduce safety filtering present in the original model. This 12 billion parameter model offers a 32768 token context length.

Key Characteristics

  • Uncensored Output: Safety filtering has been substantially reduced, allowing for the generation of content that may be sensitive, controversial, or inappropriate.
  • Experimental Derivation: Created using a proof-of-concept implementation of refusal removal without relying on TransformerLens.

Usage Warnings and Recommendations

Due to its significantly reduced safety mechanisms, users should be aware of the following:

  • Risk of Sensitive Content: The model can produce sensitive, controversial, or inappropriate outputs.
  • Not for All Audiences: Outputs may be unsuitable for public, underage, or high-security applications.
  • Legal and Ethical Responsibility: Users are solely responsible for ensuring compliance with local laws and ethical standards.
  • Recommended Use: Primarily for research, testing, or controlled environments, not for production or public-facing commercial applications.
  • Monitoring Advised: Real-time monitoring and manual review of generated content are strongly recommended.

Differentiation

This model's primary differentiator is its explicit design to be an uncensored version, achieved through a specific refusal-removal process. This contrasts with standard models that typically incorporate robust safety filters.