@lobehub/chat/docs/usage/providers/ollama/gemma.mdx

Lobe Chat - an open-source, high-performance chatbot framework that supports speech synthesis, multimodal, and extensible Function Call plugin system. Supports one-click free deployment of your private ChatGPT/LLM web application.

---
title: Using Google Gemma Model in LobeChat
description: >-
  Learn how to integrate and utilize Google Gemma in LobeChat, an open-source large language model, in LobeChat with the help of Ollama. Follow these steps to pull and select the Gemma model for natural language processing tasks.

tags:
  - Google Gemma
  - LobeChat
  - Ollama
  - Natural Language Processing
  - Language Model
---

# Using Google Gemma Model

<Image alt={'Using Gemma in LobeChat'} cover src={'https://github.com/lobehub/lobe-chat/assets/17870709/65d2dd2a-fdcf-4f3f-a6af-4ed5164a510d'} />

[Gemma](https://blog.google/technology/developers/gemma-open-models/) is an open-source large language model (LLM) from Google, designed to provide a more general and flexible model for various natural language processing tasks. Now, with the integration of LobeChat and [Ollama](https://ollama.com/), you can easily use Google Gemma in LobeChat.

This document will guide you on how to use Google Gemma in LobeChat:

<Steps>
  ### Install Ollama locally

  First, you need to install Ollama. For the installation process, please refer to the [Ollama usage documentation](/docs/usage/providers/ollama).

  ### Pull Google Gemma model to local using Ollama

  After installing Ollama, you can install the Google Gemma model using the following command, using the 7b model as an example:

  ```bash
  ollama pull gemma
  ```

  <Image alt={'Pulling Gemma model using Ollama'} height={473} inStep src={'https://github.com/lobehub/lobe-chat/assets/28616219/7049a811-a08b-45d3-8491-970f579c2ebd'} width={791} />

  ### Select Gemma model

  In the session page, open the model panel and then select the Gemma model.

  <Image alt={'Selecting Gemma model in the model selection panel'} height={629} inStep src={'https://github.com/lobehub/lobe-chat/assets/28616219/c91d0c18-a21f-41f6-b5cc-94d29faeb797'} width={791} />

  <Callout type={'info'}>
    If you do not see the Ollama provider in the model selection panel, please refer to [Integrating
    with Ollama](/docs/self-hosting/examples/ollama) to learn how to enable the Ollama provider in
    LobeChat.
  </Callout>
</Steps>

Now, you can start conversing with the local Gemma model using LobeChat.