Instructions to use huihui-ai/Huihui-gemma-4-E4B-it-abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huihui-ai/Huihui-gemma-4-E4B-it-abliterated with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("huihui-ai/Huihui-gemma-4-E4B-it-abliterated") model = AutoModelForMultimodalLM.from_pretrained("huihui-ai/Huihui-gemma-4-E4B-it-abliterated") - Notebooks
- Google Colab
- Kaggle
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This is an uncensored version of [google/gemma-4-E4B-it](https://huggingface.co/google/gemma-4-E4B-it) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
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This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.
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**Note** For this model, both the thinking mode and the non-thinking mode have been completely abliterated. the first
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## ollama
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This is an uncensored version of [google/gemma-4-E4B-it](https://huggingface.co/google/gemma-4-E4B-it) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
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This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.
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**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..
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## ollama
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