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

🤗 Hugging Face 来源any-to-anyapache-2.032.7B 参数63 GBsafetensors✓ 3 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2 ./model-folder
需要做种者 →

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:

model PPL Gap
google/gemma-4-31B-it/ggml-model-f16.gguf PPL = 14874.7532 +/- 272.53240 + 0
huihui-ai/Huihui-gemma-4-31B-it-abliterated/ggml-model-f16.gguf PPL = 13335.5546 +/- 239.28283 - 1,539.1986
huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2/ggml-model-f16.gguf PPL = 13161.2940 +/- 236.60548 - 1,713.4592 - 174.2606

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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