---
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](https://huggingface.co/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](https://github.com/ggml-org/llama.cpp/blob/master/tools/cvector-generator/README.md).

## 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](https://huggingface.co/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:
```bash
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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