Any-to-Any
Transformers
Safetensors
gemma4_unified
image-text-to-text
heretic
uncensored
decensored
abliterated
ara-lora
Instructions to use OS-Software/gemma-4-12B-it-qat-q4_0-unquantized-heretic-ja-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OS-Software/gemma-4-12B-it-qat-q4_0-unquantized-heretic-ja-v2 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("OS-Software/gemma-4-12B-it-qat-q4_0-unquantized-heretic-ja-v2") model = AutoModelForMultimodalLM.from_pretrained("OS-Software/gemma-4-12B-it-qat-q4_0-unquantized-heretic-ja-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Note: Performance testing, including the measurement of refusal rates, was conducted using Japanese datasets ([harmless_alpaca_ja](https://huggingface.co/datasets/OS-Software/harmless_alpaca_ja), [harmful_behaviors_ja](https://huggingface.co/datasets/OS-Software/harmful_behaviors_ja)).
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## ⚠️ Important Notice
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This model has undergone substantial reduction of its safety alignment. As a result, it is more likely than standard models to generate harmful, inaccurate, biased, offensive, or otherwise inappropriate content.
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Note: Performance testing, including the measurement of refusal rates, was conducted using Japanese datasets ([harmless_alpaca_ja](https://huggingface.co/datasets/OS-Software/harmless_alpaca_ja), [harmful_behaviors_ja](https://huggingface.co/datasets/OS-Software/harmful_behaviors_ja)).
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## GGUF Version
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GGUF quantizations available [here](https://huggingface.co/OS-Software/gemma-4-12B-it-qat-q4_0-heretic-ja-v2-GGUF)
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## ⚠️ Important Notice
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This model has undergone substantial reduction of its safety alignment. As a result, it is more likely than standard models to generate harmful, inaccurate, biased, offensive, or otherwise inappropriate content.
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