📝 docs: add gemma usage docs

docs/usage/providers/ollama/gemma.mdx

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+import { Callout, Steps } from 'nextra/components';
+
+# Using Google Gemma Model
+
+<Image
+  alt={'Using Gemma in LobeChat'}
+  src={'https://github.com/lobehub/lobe-chat/assets/28616219/e636cb41-5b7f-4949-a236-1cc1633bd223'}
+  cover
+  rounded
+/>
+
+[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](/en/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'}
+  src={'https://github.com/lobehub/lobe-chat/assets/28616219/7049a811-a08b-45d3-8491-970f579c2ebd'}
+  width={791}
+  height={473}
+/>
+
+### 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'}
+  src={'https://github.com/lobehub/lobe-chat/assets/28616219/69414c79-642e-4323-9641-bfa43a74fcc8'}
+  width={791}
+  bordered
+  height={629}
+/>
+
+<Callout type={'info'}>
+  If you do not see the Ollama provider in the model selection panel, please refer to [Integrating
+  with Ollama](/en/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.

docs/usage/providers/ollama/gemma.zh-CN.mdx

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+import { Callout, Steps } from 'nextra/components';
+
+# 使用 Google Gemma 模型
+
+<Image
+  alt={'在 LobeChat 中使用 Gemma'}
+  src={'https://github.com/lobehub/lobe-chat/assets/28616219/e636cb41-5b7f-4949-a236-1cc1633bd223'}
+  cover
+  rounded
+/>
+
+[Gemma](https://blog.google/technology/developers/gemma-open-models/) 是 Google 开源的一款大语言模型（LLM），旨在提供一个更加通用、灵活的模型用于各种自然语言处理任务。现在，通过 LobeChat 与 [Ollama](https://ollama.com/) 的集成，你可以轻松地在 LobeChat 中使用 Google Gemma。
+
+本文档将指导你如何在 LobeChat 中使用 Google Gemma：
+
+<Steps>
+  ### 本地安装 Ollama
+
+首先，你需要安装 Ollama，安装过程请查阅 [Ollama 使用文件](/zh/usage/providers/ollama)。
+
+### 用 Ollama 拉取 Google Gemma 模型到本地
+
+在安装完成 Ollama 后，你可以通过以下命令安装 Google Gemma 模型，以 7b 模型为例：
+
+```bash
+ollama pull gemma
+```
+
+<Image
+  alt={'使用 Ollama 拉取 Gemma 模型'}
+  src={'https://github.com/lobehub/lobe-chat/assets/28616219/7049a811-a08b-45d3-8491-970f579c2ebd'}
+  width={791}
+  height={473}
+/>
+
+### 选择 Gemma 模型
+
+在会话页面中，选择模型面板打开，然后选择 Gemma 模型。
+
+<Image
+  alt={'模型选择面板中选择 Gemma 模型'}
+  src={'https://github.com/lobehub/lobe-chat/assets/28616219/69414c79-642e-4323-9641-bfa43a74fcc8'}
+  width={791}
+  bordered
+  height={629}
+/>
+
+<Callout type={'info'}>
+  如果你没有在模型选择面板中看到 Ollama 服务商，请查阅 [与 Ollama
+  集成](/zh/self-hosting/examples/ollama) 了解如何在 LobeChat 中开启 Ollama 服务商。
+</Callout>
+
+</Steps>
+
+接下来，你就可以使用 LobeChat 与本地 Gemma 模型对话了。