This model
Huihui-gemma-4-12B-it-abliterated-AWQ was converted to AWQ format,
from huihui-ai/Huihui-gemma-4-12B-it-abliterated using llm-compressor version 0.12.0 (
https://github.com/vllm-project/llm-compressor.git).
With using dataset
ultrachat_200k from
HuggingFaceH4/ultrachat_200k &
wikitext from
Salesforce/wikitext
1vllm serve nicklas373/Huihui-gemma-4-12B-it-AWQ \
2 --chat-template '/home/xxx/.cache/huggingface/hub/models--nicklas373--Huihui-gemma-4-12B-it-abliterated-AWQ/snapshots/HASH_CODE/chat_template.jinja' \
3 --chat-template-content-format openai \
4 --disable-fastapi-docs \
5 --dtype auto \
6 --enable-prefix-caching \
7 --served-model-name gemma-4-12B-it-AWQ \
8 --seed 0 \
9 --quantization compressed-tensors \
10 --tokenizer 'google/gemma-4-12B-it' \
11 --trust-remote-code
This is an uncensored version of
google/gemma-4-12B-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.
Please use the latest version of
ollama
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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.
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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.
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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.
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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.
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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.
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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.