library_name: transformers license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license pipeline_tag: any-to-any base_model:

• google/gemma-4-31B-it tags:
• abliterated
• uncensored

huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2

This is an uncensored version of google/gemma-4-31B-it 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 is the new version, the first 5 layers have not been abliterated, with fewer warnings and rejections. You can refer to the PPL values below, which are lower than those of the original model:

The smaller the PPL value, the higher the model quality.

PPL value test command

llama-perplexity gemma-4-31B-it/ggml-model-f16.gguf -c 8192 -b 512 -ctk bf16 -ctv bf16 -f wiki.test.raw

References

llama-perplexity
llama.cpp-b8740

ollama

Please use the latest version of ollama

You can use huihui_ai/gemma-4-abliterated:31B-v2 directly,

ollama run huihui_ai/gemma-4-abliterated:31b-v2

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.

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