Any-to-Any
Transformers
Safetensors
gemma4_unified
image-text-to-text
fp8
vllm
llm-compressor
compressed-tensors
Instructions to use RedHatAI/gemma-4-12B-it-FP8-Dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/gemma-4-12B-it-FP8-Dynamic with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("RedHatAI/gemma-4-12B-it-FP8-Dynamic") model = AutoModelForMultimodalLM.from_pretrained("RedHatAI/gemma-4-12B-it-FP8-Dynamic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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