Any-to-Any
Transformers
Safetensors
gemma4_unified
image-text-to-text
fp4
vllm
llm-compressor
compressed-tensors
8-bit precision
Instructions to use RedHatAI/gemma-4-12B-it-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/gemma-4-12B-it-NVFP4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("RedHatAI/gemma-4-12B-it-NVFP4") model = AutoModelForMultimodalLM.from_pretrained("RedHatAI/gemma-4-12B-it-NVFP4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Recipe ideas
2
#2 opened about 2 months ago
by
xdavxd
Comparison against QAT versions
#1 opened 4 months ago
by
BramVanroy