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# gemma-3n-E4B-it

> Fine-tune gemma-3n-E4B-it for image-text-to-text tasks with NeMo AutoModel using checked-in recipes and distributed settings.

[Gemma-3n-e4B-it](https://huggingface.co/google/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](/get-started/installation), then run the recipe from the repository root:

```bash
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](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/vlm_finetune/gemma3n/gemma3n_vl_4b_medpix.yaml).  |
| Try another checked-in recipe for this model | Use the [alternate recipe](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/vlm_finetune/gemma3n/gemma3n_vl_4b_medpix_peft.yaml). |

### 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`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/vlm_finetune/gemma3n/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`](https://huggingface.co/google/gemma-3n-E4B-it)

## Related Resources

* [Vision-language model fine-tuning guide](/recipes-e2e-examples/gemma-3-3n)