library_name: transformers
license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
pipeline_tag: any-to-any
base_model:
- google/gemma-4-26B-A4B-it
tags: - abliterated
- uncensored
huihui-ai/Huihui-gemma-4-26B-A4B-abliterated
This is an uncensored version of google/gemma-4-26B-A4B-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. I created Q8 and Q6 quantizations for almost perfect full quality. I made Q4_KM and MXFP4_MOE quantizations to run on a 16 GB or 24 GB graphics card. All models have been tested with the mmproj-BF16.gguf for multi-modal capability.
Note For this model, both the thinking mode and the non-thinking mode have been completely abliterated. the first 5 layers have not been abliterated, may contain warning information, but no refusal will be made..
No ablation was performed on the 256 experts per layer.
llama.cppp
Please use the latest version of llama.cpp
../../workspace/llama.cpp/build/bin/llama-server \
-m Huihui-gemma-4-26B-A4B-it-abliterated-Q4_K_M.gguf \
--mmproj mmproj-BF16.gguf \
--host 0.0.0.0 \
--port 11434 \
--flash-attn on \
--cache-type-k q8_0 \
--cache-type-v q8_0 \
--n-gpu-layers 99 \
--split-mode layer \
--no-mmap \
--temp 1.0 \
--top-p 0.95 \
--top-k 64 \
--repeat-penalty 1.0 \
-c 256000 \
-b 2048 \
-ub 2048 \
--parallel 1
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 nor I bear any responsibility for any consequences arising from its use.
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