README.md

---
library_name: keras-nlp
extra_gated_heading: Access CodeGemma on Hugging Face
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  To access CodeGemma 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.
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license: gemma
license_link: https://ai.google.dev/gemma/terms
pipeline_tag: text-generation
---

# CodeGemma

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

This model card corresponds to the latest 7B instruct version of the CodeGemma 1.1 model for usage 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 CodeGemma family here:

|    | Base                                               | Instruct                                                             |
|----|----------------------------------------------------|----------------------------------------------------------------------|
| 2B | [codegemma-1.1-2b-keras](https://huggingface.co/google/codegemma-1.1-2b-keras) |  |
| 7B | [codegemma-7b-keras](https://huggingface.co/google/codegemma-7b-keras) | [**codegemma-1.17b-it-keras**](https://huggingface.co/google/codegemma-1.17b-it-keras)     |

For more information about the model, visit https://huggingface.co/google/codegemma-2b.

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

Terms of Use
: [Terms](https://ai.google.dev/gemma/terms)

Authors
: Google

## Loading the model

```python
import keras_nlp

gemma_lm = keras_nlp.models.GemmaCausalLM.from_preset("hf://google/codegemma-1.17b-it-keras")
```