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AstrBot/docs/zh/providers/provider-ollama.md
Soulter fc33b3eb68 docs: transfer AstrBotDevs/AstrBot-docs to AstrBotDevs/AstrBot (#5960)
* docs: transfer AstrBotDevs/AstrBot-docs to AstrBotDevs/AstrBot
* refactor: reorder imports and improve type hints in sync_docs_to_wiki.py and upload_doc_images_to_r2.py
* feat: add GitHub Actions workflow to sync wiki with documentation

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# 接入 Ollama
🦙 Ollama 是一款免费、开源的应用程序让您能在自己的电脑上运行大型语言模型LLM硬件需满足要求
## 下载并安装 Ollama
您可以在 [https://ollama.com](https://ollama.com/download) 下载 Ollama。
## 选择想要使用的模型
在 https://ollama.com/search 上选择想要使用的模型。
在终端上 (Windows 上是 Powershell) 输入 `ollama pull <model_name>` 下载模型。
model_name 格式:`<model_name>:<model_version>`。如 `deepseek-r1:8b`
> 8b 参数量模型需要至少 16GB 显存。有关配置和参数量的详细信息,请参阅其他文档。
拉取完成后,输入 `ollama list` 查看已经拉取的模型。
然后使用 `ollama run <model_name>` 运行模型。
## 配置 AstrBot
打开 AstrBot 控制台 -> 服务提供商页面,点击新增模型提供商,找到并点击 `Ollama`
![image](https://files.astrbot.app/docs/source/images/ollama/image.png)
保存配置即可。
::: tip
对于 Mac/Windows 使用 Docker Desktop 部署 AstrBot 部署的用户API Base URL 请填写为 `http://host.docker.internal:11434/v1`。\
对于 Linux 使用 Docker 部署 AstrBot 部署的用户API Base URL 请填写为 `http://172.17.0.1:11434/v1`,或者将 `172.17.0.1` 替换为你的公网 IP确保宿主机系统放行了 11434 端口)。\
如果 Ollama 使用了 Docker 部署,请确保 11434 端口已经映射到宿主机。
:::
## FAQ
报错:
```
AstrBot 请求失败。
错误类型: NotFoundError
错误信息: Error code: 404 - {'error': {'message': 'model "llama3.1-8b" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
```
请先看上面的教程,用 `ollama pull <model_name>` 拉取模型,然后使用 `ollama run <model_name>` 运行模型。