---
license: gemma
library_name: gguf
base_model: google/gemma-3n-E2B-it
---

> [!Note]
> This version does not contain multimodal support. We are still working on adding multimodal.

# Gemma 3n model card

**Original model**: https://huggingface.co/google/gemma-3n-E2B-it

**Model Page**: [Gemma 3n](https://ai.google.dev/gemma/docs/gemma-3n)

**Resources and Technical Documentation**:

-   [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)
-   [Gemma on Kaggle](https://www.kaggle.com/models/google/gemma-3n)
-   [Gemma on HuggingFace](https://huggingface.co/collections/google/gemma-3n-685065323f5984ef315c93f4)
-   [Gemma on Vertex Model Garden](https://console.cloud.google.com/vertex-ai/publishers/google/model-garden/gemma3n)

**Terms of Use**: [Terms](https://ai.google.dev/gemma/terms)\
**Authors**: Google DeepMind

## Example usage

### With llama.cpp

To install llama.cpp on your system, see [installation guide](https://github.com/ggml-org/llama.cpp/blob/master/README.md)

```sh
llama-cli -hf ggml-org/gemma-3n-E2B-it-GGUF:Q8_0 -fa -c 0 --jinja
```

### With LM Studio

Search for `gemma-3n-E2B-it-GGUF` and add it to your model library