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

TEXT GENERATIONConcurrent Unit Cost:1Model Size:12BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 21, 2026License:apache-2.0Architecture:Transformer0.2K Open Weights Featherless Exclusive Cold

Huihui-gemma-4-12B-coder-fable5-composer2.5-v1-abliterated is a 12 billion parameter Gemma-4 based model, derived from yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1, with a 32768 token context length. This version has undergone 'abliteration' to significantly reduce safety filtering and refusal behaviors. It is intended for research and experimental use where uncensored outputs are specifically desired, rather than for production or public-facing applications.

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Model Overview

Huihui-gemma-4-12B-coder-fable5-composer2.5-v1-abliterated is a 12 billion parameter language model built upon the Gemma-4 architecture. It is a modified version of the original yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1 model, specifically processed using an "abliteration" technique to remove refusal behaviors and significantly reduce safety filtering. This modification aims to provide an uncensored output experience.

Key Characteristics

  • Base Model: Gemma-4-12B-coder-fable5-composer2.5-v1.
  • Parameter Count: 12 billion parameters.
  • Context Length: Supports a context window of 32768 tokens.
  • Uncensored Output: The primary differentiator is the intentional reduction of safety filters, allowing for a broader range of generated content without typical refusal mechanisms.

Usage Warnings and Recommendations

Due to the removal of safety filtering, this model comes with significant usage warnings:

  • Sensitive Content: It may generate sensitive, controversial, or inappropriate content.
  • Audience Suitability: Not recommended for public settings, underage users, or applications requiring high security.
  • Legal & Ethical Responsibility: Users are solely responsible for ensuring compliance with local laws and ethical standards regarding generated content.
  • Intended Use: Primarily for research, testing, or controlled experimental environments. It is explicitly not recommended for direct use in production or public-facing commercial applications.
  • Monitoring: Users are strongly advised to monitor outputs in real-time and conduct manual reviews to prevent the dissemination of inappropriate content.

This model is a proof-of-concept for exploring uncensored LLM outputs, with no default safety guarantees from huihui.ai.