---
library_name: gemma_torch
license: gemma
pipeline_tag: text-generation
tags:
- pytorch
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: To access Gemma 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
---

# Gemma Model Card

> [!IMPORTANT]
>
> This repository corresponds to the research Gemma PyTorch repository. If you're looking for the transformers implementation, visit [this page](https://huggingface.co/google/gemma-7b-it)

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

This model card corresponds to the 7B instruct version of the Gemma model for usage with PyTorch (https://github.com/google/gemma_pytorch) without transformers. The parameters are int8 quantized. For more information about the model, visit https://huggingface.co/google/gemma-7b-it.

**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?version=gemma-2b-gg-hf)

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

**Authors**: Google