This is an uncensored version of google/gemma-3-release created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.

Note

This model requires Ollama 0.6 or later. Download Ollama

Model

Text

270m parameter model (32k context window)

ollama run huihui_ai/gemma3-abliterated:270m

1b parameter model (32k context window)

ollama run huihui_ai/gemma3-abliterated:1b

Multimodal (Vision)

4B parameter model (128k context window)

ollama run huihui_ai/gemma3-abliterated:4b

12B parameter model (128k context window)

ollama run huihui_ai/gemma3-abliterated:12b

27B parameter model (128k context window)

ollama run huihui_ai/gemma3-abliterated:27b

Usage Warnings

“Risk of Sensitive or Controversial Outputs“: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.

“Not Suitable for All Audiences:“ Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

“Legal and Ethical Responsibilities“: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

“Research and Experimental Use“: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

“Monitoring and Review Recommendations“: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

“No Default Safety Guarantees“: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

References

HuggingFace

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