gemma-3n-E4B-it | NVIDIA NeMo AutoModel

Gemma-3n-e4B-it has a checked-in NeMo AutoModel recipe for image-text-to-text. The Hugging Face configuration declares the Gemma3nForConditionalGeneration architecture.

Fine-Tune Gemma-3n-e4B-it

Follow the installation instructions, then run the recipe from the repository root:

automodel examples/vlm_finetune/gemma3n/gemma3n_vl_4b_medpix.yaml --nproc-per-node 8

Choose a Workflow

Goal	Start Here
Run the primary recipe for this model	Use the recipe configuration.
Try another checked-in recipe for this model	Use the alternate recipe.

Configuration

Setting	Configuration
Hardware	-
Strategy	FSDP2; tp_size=1, cp_size=1
Nodes	-
Features	Checkpointing (enabled=true)
Advanced	torch.bfloat16

More Recipes for This Model

gemma3n_vl_4b_medpix_peft.yaml

Model Reference

Model Architecture

Property	Value
Task	Image-text-to-text
Architecture	`Gemma3nForConditionalGeneration`

Available Models

google/gemma-3n-E4B-it

Vision-language model fine-tuning guide