---
library_name: recurrentgemma
extra_gated_heading: Access RecurrentGemma on Hugging Face
extra_gated_prompt: >-
  To access RecurrentGemma on Hugging Face, you’re required to review and agree to
  Google’s usage license. To do this, please ensure you’re logged-in to Hugging
  Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license
license: gemma
license_link: https://ai.google.dev/gemma/terms
pipeline_tag: text-generation
tags:
- jax
- recurrent_gemma
---

# RecurrentGemma Model Card

> [!IMPORTANT]
>
> This repository corresponds to the research [RecurrentGemma repository](https://github.com/google-deepmind/recurrentgemma) in Jax.
> 
**Model Page**: [RecurrentGemma](https://ai.google.dev/gemma/docs)

This model card corresponds to the 2B base version of the RecurrentGemma model for usage with flax. For more information about the model, visit https://huggingface.co/google/recurrentgemma-2b.

**Resources and Technical Documentation**:

* [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)
* [Gemma on Kaggle](https://www.kaggle.com/models/google/gemma)
* [Gemma on Vertex Model Garden](https://console.cloud.google.com/vertex-ai/publishers/google/model-garden/335)

**Terms of Use**: [Terms](https://www.kaggle.com/models/google/gemma/license/consent)

**Authors**: Google

## Loading the model

To download the weights and tokenizer, run:

```python
from huggingface_hub import snapshot_download

local_dir = snapshot_download(repo_id="google/recurrentgemma-2b-flax")

# Or to save to a local directory
snapshot_download(repo_id="google/recurrentgemma-2b-flax", local_dir=local_dir)
```