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:
- 7809a885b9b5d1ebdbda61eb86d71aeb349dff9a40f20b78f08ffdb84fdca240
- Size of remote file:
- 4.88 GB
- SHA256:
- 2d849e41899ed8e23b08920d1201cd4db6a7f4b785ba59b2aa8dfe90ba3dd434
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