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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