---
library_name: keras-hub
license: gemma
license_link: https://ai.google.dev/gemma/terms
pipeline_tag: text-generation
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  and agree to Google’s usage license. To do this, please ensure you’re logged-in
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---

# Gemma 1.1

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

This model card corresponds to the latest 7B instruct version of the Gemma 1.1 model in Keras.


Keras models can be used with JAX, PyTorch or TensorFlow as numerical backends.
JAX, with its support for SPMD model paralellism, is recommended for large models.
For more information: [distributed training with Keras and JAX](https://keras.io/guides/distribution/).


You can find other models in the Gemma family here:

|    | Base                                               | Instruct                                                             |
|----|----------------------------------------------------|----------------------------------------------------------------------|
| 2B | [gemma-2b-keras](https://huggingface.co/google/gemma-2b-keras) | [gemma-1.1-2b-it-keras](https://huggingface.co/google/gemma-1.1-2b-it-keras) |
| 7B | [gemma-7b-keras](https://huggingface.co/google/gemma-7b-keras) | [**gemma-1.1-7b-it-keras**](https://huggingface.co/google/gemma-1.1-7b-it-keras)     |


For more information about the model, visit https://huggingface.co/google/gemma-1.1-7b-it.

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

Resources and Technical Documentation
: [Technical Report](https://goo.gle/gemma)
: [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)

Terms of Use
: [Terms](https://www.kaggle.com/models/google/gemma/license/consent/verify/huggingface?returnModelRepoId=google/gemma-1.1-7b-it-keras)

Authors
: Google

## Loading the model

```python
import keras_nlp

gemma_lm = keras_nlp.models.GemmaCausalLM.from_preset("hf://google/gemma-1.1-7b-it-keras")
```