---

license: "apache-2.0"

pipeline_tag: text-generation

library_name: vllm

base_model: Aleph-Alpha/Kolibri-1-BF16

language:

• de
• en

tags:

• abliterated
• uncensored
• huihui
• reasoning
• moe

---

huihui-ai/Huihui-Kolibri-1-BF16-abliterated-GGUF

This is an uncensored version of Aleph-Alpha/Kolibri-1-BF16 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.

Latest update

We re-quantized the models using llama.cpp and have uploaded the Q2, Q3, Q4, Q5, Q6, Q8, and BF16 quantized models.

Note

GGUFs come from Hob-forge/Kolibri-1-GGUF.

The ablation did not modify all expert modules.

llama.cpp

Requires a llama.cpp patch

Stock llama.cpp does not support the kolibri1 architecture yet. Apply kolibri1-llama.cpp.patch (included in this repo) to llama.cpp at upstream commit 836d571, then build:

git clone https://github.com/ggml-org/llama.cpp && cd llama.cpp
git checkout 836d571
git am /path/to/kolibri1-llama.cpp.patch
cmake -B build -DCMAKE_BUILD_TYPE=Release   # add -DGGML_CUDA=ON etc. for your GPU
cmake --build build -j --target llama-server llama-cli

Running

llama-cli -m huihui-ai/Huihui-Kolibri-1-abliterated-GGUF/Huihui-Kolibri-1-abliterated-Q4_K_M.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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