license: mit library_name: transformers pipeline_tag: image-text-to-text base_model: deepseek-ai/DeepSeek-V4.1-Flash-1017 tags:

• deepseek
• deepseek_v41
• unsloth
• abliterated
• uncensored
• huihui

huihui-ai/Huihui-DeepSeek-V4.1-Flash-1017-abliterated

This is an uncensored version of deepseek-ai/DeepSeek-V4.1-Flash-1017 created with abliteration.

This ablation was performed entirely using llama.cpp's GGUF model, without relying on Transformers,

For the specific ablation method, please refer to cvector-generator.

Note

The UD- series come from unsloth/DeepSeek-V4.1-Flash-1017-GGUF. Only layers 11 to 28 (0-based indexing) have been ablated.
The expert system was not ablated. Only 18 weights were ablated in total (the 18 attn_output_b tensors); everything else was left untouched.

llama.cpp

apt-get update
apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev git -y
git clone https://github.com/ggml-org/llama.cpp
git -C llama.cpp fetch origin pull/30817/head:deepseek41
git -C llama.cpp checkout deepseek41
cmake llama.cpp -B llama.cpp/build \
    -DBUILD_SHARED_LIBS=OFF -DGGML_CUDA=ON
cmake --build llama.cpp/build --config Release -j --clean-first --target llama-cli llama-mtmd-cli llama-server llama-gguf-split
cp llama.cpp/build/bin/llama-* llama.cpp

llama-cli -m huihui-ai/Huihui-DeepSeek-V4.1-Flash-1017-abliterated/UD-IQ1_S/DeepSeek-V4.1-Flash-1017-UD-IQ1_S-00001-of-00005.gguf -c 262144

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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