Any-to-Any
Transformers
Safetensors
gemma4_unified
image-text-to-text
heretic
uncensored
decensored
abliterated
Instructions to use MuXodious/gemma-4-12B-it-QAT-SOMPOA-heresy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MuXodious/gemma-4-12B-it-QAT-SOMPOA-heresy with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("MuXodious/gemma-4-12B-it-QAT-SOMPOA-heresy") model = AutoModelForMultimodalLM.from_pretrained("MuXodious/gemma-4-12B-it-QAT-SOMPOA-heresy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6493cb5ff7d55b2b9d09fe68a46bc91a63bd5abb4d2ddacc80a5882e60c3b7b
- Size of remote file:
- 4.99 GB
- SHA256:
- 3b724a022bc76f936f2071543ecac18f1cd74025da56a2d990cdcff7da04514a
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