datasets:

• HuggingFaceH4/ultrachat_200k
• Salesforce/wikitext
  base_model:
• huihui-ai/Huihui-gemma-4-12B-it-abliterated
  pipeline_tag: image-text-to-text
  library_name: transformers

gemma-4-12B-it-AWQ

Model Highlights

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

Datasets:

• HuggingFaceH4/ultrachat_200k
• Salesforce/wikitext

Base Model:

• huihui-ai/Huihui-gemma-4-12B-it-abliterated

Use with VLLM

1. Download models at first by using hf

      hf download nicklas373/Huihui-gemma-4-12B-it-abliterated-AWQ
   

2. Copy hash for snapshots directory, then use it for chat templates and tool call parser
   ex: /home/xxx/.cache/huggingface/hub/models--nicklas373--Huihui-gemma-4-12B-it-abliterated-AWQ/snapshots/HASH_CODE/xxx
3. Run models with this command

vllm serve nicklas373/Huihui-gemma-4-12B-it-AWQ \
           --chat-template '/home/xxx/.cache/huggingface/hub/models--nicklas373--Huihui-gemma-4-12B-it-abliterated-AWQ/snapshots/HASH_CODE/chat_template.jinja' \
           --chat-template-content-format openai \
           --disable-fastapi-docs \
           --dtype auto \
           --enable-prefix-caching \
           --served-model-name gemma-4-12B-it-AWQ \
           --seed 0 \
           --quantization compressed-tensors \
           --tokenizer 'google/gemma-4-12B-it' \
           --trust-remote-code

huihui-ai/Huihui-gemma-4-12B-it-abliterated

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.

Note For this model, both the thinking mode and the non-thinking mode have been completely abliterated. Only layers 23-28 have been abliterated.

Important Notice: The weights of the earliest released google/gemma-4-12B-it model have issues. We have already re-ablated and re-uploaded the model. If you have already downloaded it, please re-download.

ollama

Please use the latest version of ollama

You can use huihui_ai/gemma-4-abliterated:12b directly,

ollama run huihui_ai/gemma-4-abliterated:12b

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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