实践ollama

安装和使用

Ollama命令用法

$ Ollama -h
Usage:
  ollama [flags]
  ollama [command]

Available Commands:
  serve       Start ollama
  create      Create a model from a Modelfile
  show        Show information for a model
  run         Run a model
  stop        Stop a running model
  pull        Pull a model from a registry
  push        Push a model to a registry
  list        List models
  ps          List running models
  cp          Copy a model
  rm          Remove a model
  help        Help about any command

Flags:
  -h, --help      help for ollama
  -v, --version   Show version information

Use "ollama [command] --help" for more information about a command.

运行大模型

$ ollama run deepseek-r1:1.5b

pulling manifest 
pulling aabd4debf0c8... 100% ▕███████████████████████████████████████████████████████████▏ 1.1 GB                         
pulling 369ca498f347... 100% ▕███████████████████████████████████████████████████████████▏  387 B                         
pulling 6e4c38e1172f... 100% ▕███████████████████████████████████████████████████████████▏ 1.1 KB                         
pulling f4d24e9138dd... 100% ▕███████████████████████████████████████████████████████████▏  148 B                         
pulling a85fe2a2e58e... 100% ▕███████████████████████████████████████████████████████████▏  487 B                         
verifying sha256 digest 
writing manifest 
success 
>>>

Send a message (/? for help)

显示帮助命令-/?

>>> /?
Available Commands:
  /set            Set session variables
  /show           Show model information
  /load <model>   Load a session or model
  /save <model>   Save your current session
  /clear          Clear session context
  /bye            Exit
  /?, /help       Help for a command
  /? shortcuts    Help for keyboard shortcuts

Use """ to begin a multi-line message.

>>> 

API调用

ollama show --help
Show information for a model

Usage:
  ollama show MODEL [flags]

Flags:
  -h, --help         help for show
      --license      Show license of a model
      --modelfile    Show Modelfile of a model
      --parameters   Show parameters of a model
      --system       Show system message of a model
      --template     Show template of a model

Environment Variables:
      OLLAMA_HOST                IP Address for the ollama server (default 127.0.0.1:11434)

generate

流式返回

$ curl http://localhost:11434/api/generate -d '{
  "model": "deepseek-r1:1.5b",
  "prompt":"介绍一下React，20字以内"
}'

{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.352383Z","response":"\u003cthink\u003e","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.376261Z","response":"\n","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.403382Z","response":"好","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.429081Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.45713Z","response":"我现在","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.484561Z","response":"要","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.511836Z","response":"介绍一下","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.544863Z","response":"React","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.573344Z","response":"，并","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.600274Z","response":"且","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.626729Z","response":"控制","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.656923Z","response":"在","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.686946Z","response":"2","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.71808Z","response":"0","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.745148Z","response":"个","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.773085Z","response":"字","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.802212Z","response":"以内","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.832782Z","response":"。","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.862257Z","response":"嗯","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.891635Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.919235Z","response":" React","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.946Z","response":" 是","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:56.973442Z","response":"什么","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.003672Z","response":"？","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.034034Z","response":"对","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.061227Z","response":"了","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.089945Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.117366Z","response":"它","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.14359Z","response":"是一种","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.171623Z","response":"前端","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.200434Z","response":"开发","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.230381Z","response":"工具","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.259129Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.287732Z","response":"支持","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.318781Z","response":" client","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.346042Z","response":"-side","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.37321Z","response":" 和","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.400896Z","response":" server","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.428858Z","response":"-side","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.455121Z","response":" 的","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.483147Z","response":"协同","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.509105Z","response":"工作","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.537964Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.567959Z","response":"所以","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.600308Z","response":"能","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.627133Z","response":"用","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.654967Z","response":"前后","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.685864Z","response":"端","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.71269Z","response":"同时","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.740039Z","response":"优化","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.767356Z","response":"性能","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.793282Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.819802Z","response":"这","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.847222Z","response":"应该","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.873616Z","response":"很","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.90241Z","response":"关键","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.928832Z","response":"吧","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.95509Z","response":"。\n\n","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:57.98438Z","response":"那","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.011166Z","response":"它的","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.041402Z","response":"特点","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.070186Z","response":"是什么呢","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.097591Z","response":"？","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.124464Z","response":"听说","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.152906Z","response":"它可以","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.182713Z","response":"自动","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.209878Z","response":"解析","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.239813Z","response":" HTML","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.269112Z","response":" 文件","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.297744Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.325133Z","response":"生成","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.353014Z","response":" JavaScript","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.379536Z","response":" ","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.405717Z","response":"代码","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.437098Z","response":"，并","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.467538Z","response":"将","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.493771Z","response":"这些","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.520912Z","response":"代码","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.548112Z","response":"发送","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.574195Z","response":"到","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.604393Z","response":"服务器","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.632315Z","response":"端","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.658341Z","response":"运行","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.686727Z","response":"。","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.714009Z","response":"这样","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.742691Z","response":"既能","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.770638Z","response":"节省","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.798773Z","response":"时间和","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.826545Z","response":"资源","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.854622Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.884085Z","response":"还能","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.910751Z","response":"同步","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.938179Z","response":"更新","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.966887Z","response":"。","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:58.993699Z","response":"另外","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.023616Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.05754Z","response":"React","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.114824Z","response":" 还","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.144089Z","response":"支持","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.17437Z","response":"微","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.203316Z","response":"服务","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.232357Z","response":"架构","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.258617Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.28891Z","response":"把","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.31888Z","response":"不同的","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.345578Z","response":"功能","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.371158Z","response":"分成","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.401914Z","response":"不同的","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.430428Z","response":"组件","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.458101Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.486542Z","response":"这样","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.513329Z","response":"开发","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.54126Z","response":"起来","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.568592Z","response":"更","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.595931Z","response":"高效","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.622018Z","response":"。\n\n","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.650892Z","response":"有没有","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.679269Z","response":"什么","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.708112Z","response":"优势","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.736155Z","response":"让它","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.763703Z","response":"成为","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.790171Z","response":"主流","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.818669Z","response":"呢","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.844841Z","response":"？","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.871612Z","response":"对","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.899265Z","response":"了","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.927082Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.95509Z","response":"性能","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:31:59.983697Z","response":"优化","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.011315Z","response":"方面","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.046609Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.075117Z","response":"它","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.102364Z","response":"能","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.129301Z","response":"自动","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.157314Z","response":"解析","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.186112Z","response":"和","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.214244Z","response":"渲染","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.24101Z","response":" HTML","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.271457Z","response":" 文件","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.304449Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.331424Z","response":"减少","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.358619Z","response":"重复","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.385684Z","response":"的","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.413679Z","response":"代码","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.441623Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.469194Z","response":"提高","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.495963Z","response":"效率","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.522797Z","response":"。","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.549512Z","response":"此外","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.576246Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.6047Z","response":"支持","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.632426Z","response":"轻","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.659712Z","response":"量","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.687821Z","response":"级","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.717608Z","response":"框架","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:00.744465Z","response":"，","done":false}
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{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:05.821673Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:05.851677Z","response":"初期","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:05.878737Z","response":"学习","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:05.911945Z","response":"起来","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:05.942508Z","response":"可能","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:05.970756Z","response":"有点","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:05.997951Z","response":"复杂","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.025454Z","response":"。","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.054575Z","response":"不过","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.083409Z","response":"总体","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.110625Z","response":"而言","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.13812Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.167047Z","response":"React","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.193972Z","response":" 在","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.225011Z","response":"性能","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.25307Z","response":"和","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.280961Z","response":"可","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.309238Z","response":"扩展","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.33923Z","response":"性","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.369598Z","response":"方面","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.39754Z","response":"表现出","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.425951Z","response":"色","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.456465Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.483944Z","response":"已经","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.513259Z","response":"普及","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.541682Z","response":"了","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.571746Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.606137Z","response":"所以","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.638027Z","response":"很","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.67191Z","response":"常见","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.70381Z","response":"。\n\n","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.736454Z","response":"总结","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.768096Z","response":"一下","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.798848Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.827191Z","response":" React","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.855428Z","response":" 是","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.886204Z","response":"一种","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.916432Z","response":"先进的","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.94453Z","response":"前端","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:06.972447Z","response":"框架","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.003202Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.035076Z","response":"能","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.066195Z","response":"结合","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.093899Z","response":"前后","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.122105Z","response":"端","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.153599Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.185196Z","response":"自动","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.216338Z","response":"优化","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.244494Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.27273Z","response":"提高","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.304352Z","response":"效率","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.335766Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.364253Z","response":"广泛","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.393477Z","response":"应用于","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.421665Z","response":"实时","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.456745Z","response":"监控","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.488408Z","response":"、","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.520906Z","response":"智能","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.552558Z","response":"设备","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.581604Z","response":"、","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.608371Z","response":"游戏","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.636646Z","response":"引擎","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.66478Z","response":"、","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.691832Z","response":"电子商务","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.72275Z","response":"和","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.753579Z","response":"医疗","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.781143Z","response":"领域","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.808334Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.840479Z","response":"功能","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.870833Z","response":"强大","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.90117Z","response":"、","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.929311Z","response":"易","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.960068Z","response":"用","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:07.988372Z","response":"。","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.018994Z","response":"我觉得","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.046836Z","response":"这个","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.074361Z","response":"涵盖了","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.10445Z","response":"React","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.133139Z","response":"的主要","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.161098Z","response":"特点","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.189892Z","response":"。\n","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.218306Z","response":"\u003c/think\u003e","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.245514Z","response":"\n\n","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.274631Z","response":"React","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.303655Z","response":"是一种","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.333502Z","response":"支持","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.362576Z","response":"前后","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.392096Z","response":"端","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.422734Z","response":"协同","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.452824Z","response":"工作","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.48131Z","response":"，并","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.508628Z","response":"自动","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.538037Z","response":"解析","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.567737Z","response":"和","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.594746Z","response":"生成","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.623002Z","response":"代码","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.65149Z","response":"的","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.679318Z","response":"前端","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.707015Z","response":"开发","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.737912Z","response":"工具","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.766348Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.794365Z","response":"能够","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.825269Z","response":"高效","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.85578Z","response":"提升","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.884554Z","response":"性能","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.912284Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.940035Z","response":"适用于","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:08.971951Z","response":"实时","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.001767Z","response":"监控","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.029283Z","response":"、","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.057306Z","response":"智能","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.087979Z","response":"设备","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.117746Z","response":"、","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.145372Z","response":"游戏","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.174438Z","response":"引擎","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.202546Z","response":"等领域","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.229829Z","response":"，","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.257399Z","response":"功能","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.287652Z","response":"强大","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.318187Z","response":"且","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.345468Z","response":"易于","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.372869Z","response":"应用","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.400768Z","response":"。","done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T08:32:09.428581Z","response":"","done":true,"done_reason":"stop","context":[151644,109432,14799,3837,17,15,18600,108341,151645,151648,198,52801,3837,107520,30534,109432,14799,90395,100136,100359,18493,17,15,18947,18600,108341,1773,106287,3837,3592,54851,99245,11319,32664,34187,3837,99652,101158,113652,100013,102011,3837,100143,2943,24067,58143,3538,24067,43589,102402,99257,3837,99999,26232,11622,105551,78882,91572,103983,102111,3837,43288,99730,99165,99936,100003,3407,99212,104121,100772,116631,11319,102654,113667,100756,106637,9308,69594,3837,43959,12914,220,46100,90395,44063,100001,46100,72017,26939,89047,78882,104001,1773,99654,111628,106831,108018,85329,3837,104246,104738,50007,1773,101948,3837,14799,32181,246,100143,48934,47874,106379,3837,99360,101970,98380,109245,101970,110195,3837,99654,100013,99793,33126,102202,3407,104710,99245,100661,111698,99787,105276,101036,11319,32664,34187,3837,102111,103983,99522,3837,99652,26232,100756,106637,33108,115876,9308,69594,3837,101940,105444,9370,46100,3837,100627,101991,1773,104043,3837,100143,99578,32757,52334,102724,3837,100231,103767,17254,28330,99892,3837,101912,105768,101044,101047,105143,20074,54542,3407,99212,3592,43589,100772,104719,101036,11319,101140,99486,100756,106637,3837,100756,105359,3837,100756,103983,24968,101889,20412,44636,106375,33071,3837,104964,99604,108275,104001,24968,100626,48934,47874,106379,106736,3837,99258,100013,101197,100405,102202,1773,116880,3837,14799,54851,46944,98380,102553,5373,102111,99226,100191,9370,113652,102724,3837,26232,100364,113129,101098,104004,110012,46100,44956,3407,99212,3592,43589,116541,104719,101036,11319,35946,104292,113489,99652,18493,105143,104814,5373,100168,101044,5373,99329,102977,5373,104884,33108,100182,100650,101103,99892,1773,101912,3837,112146,102073,107779,20074,100756,54542,3837,100168,100343,9370,35926,104117,100507,72448,3837,116677,102122,110697,49567,3407,99212,104121,103134,100630,100756,106637,5373,100756,103983,5373,101098,100013,5373,99578,32757,52334,102724,3837,32664,101037,11319,105910,101036,11319,87267,85106,102075,85329,36407,100013,46944,52801,73345,3837,101034,100002,65676,99361,102193,106736,28946,99883,3837,105225,100134,99793,87267,104037,102181,1773,100632,102198,102018,3837,14799,73562,102111,33108,30440,106375,33071,99522,107837,38035,3837,99461,105258,34187,3837,99999,99165,101536,3407,102050,100158,3837,3592,54851,101053,102830,113652,102724,3837,26232,100374,105551,78882,3837,100756,103983,3837,100627,101991,3837,100789,110645,105143,104814,5373,100168,101044,5373,99329,102977,5373,104884,33108,100182,100650,3837,98380,102553,5373,86744,11622,1773,104288,99487,114369,14799,104396,100772,8997,151649,271,14799,101158,100143,105551,78882,102402,99257,90395,100756,106637,33108,43959,46100,9370,113652,100013,102011,3837,100006,102202,100341,102111,3837,106584,105143,104814,5373,100168,101044,5373,99329,102977,106483,3837,98380,102553,100136,114660,99892,1773],"total_duration":21297231708,"load_duration":591740875,"prompt_eval_count":10,"prompt_eval_duration":7626000000,"eval_count":453,"eval_duration":13077000000}

非流式返回

$ curl http://localhost:11434/api/generate -d '{ "model": "deepseek-r1:1.5b", "prompt":"介绍一下React，20字以内", "stream": false }'

{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:05:43.826796Z","response":"\u003cthink\u003e\n好，我需要向用户介绍React。首先，我知道它是一个 JavaScript 模块，用于开发响应式 UI 的。\n\n然后， React 支持多种格式，比如 TypeScript 和 ES6。这有助于开发者选择合适的语言和风格。\n\n接下来， 它支持组件化，这样可以将功能分离，提高可维护性和扩展性。所以，组件化是它的关键优势之一。\n\n之后， React 有强大的类型系统，比如 React Types，这对于约束对象的属性非常有用，还能确保代码质量和归档性。\n\n此外，它结合了异步和微调能力，支持高并发环境，这样可以在网络环境中高效运行。\n\n最后， 它为跨平台构建提供了工具，适用于移动、Web 和移动端，满足多种开发需求。\n\n综合这些方面，我应该把 React 的主要功能和优势简洁地列出来，控制在20字以内。\n\u003c/think\u003e\n\nReact 是一个 JavaScript 模块，用于开发响应式用户界面（UI），支持多种格式并提供组件化、异步微调和跨平台能力。","done":true,"done_reason":"stop","context":[151644,109432,14799,3837,17,15,18600,108341,151645,151648,198,52801,3837,35946,85106,69041,20002,100157,14799,1773,101140,3837,105519,99652,101909,12914,6567,44401,99922,3837,100751,100013,102808,28330,3689,43589,3407,101889,3837,3592,80090,107,68878,101312,68805,3837,101912,87457,58143,19287,21,1773,43288,105767,113129,50404,106873,102064,33108,104040,3407,104326,3837,41479,225,100143,110195,32108,3837,99654,73670,44063,98380,106201,3837,100627,30440,101999,105178,106375,33071,1773,99999,3837,110195,32108,20412,104121,99936,100661,100653,3407,103922,3837,3592,220,18830,104795,31905,72448,3837,101912,3592,20768,3837,113423,105852,64429,9370,79256,99491,115404,3837,104246,103944,46100,111323,100040,100104,33071,3407,104043,3837,99652,100374,34187,62945,64682,33108,48934,47872,99788,3837,100143,44636,115668,99719,3837,99654,104964,71356,109130,102202,104001,3407,100161,3837,41479,225,17714,99960,100133,104004,104257,102011,3837,106584,101148,5373,5981,58143,116456,3837,101929,101312,100013,100354,3407,99799,100001,99522,3837,35946,99730,99360,3592,43589,99558,98380,33108,100661,110485,29490,31118,99898,3837,100359,18493,17,15,18600,108341,8997,151649,271,14799,54851,46944,12914,6567,44401,99922,3837,100751,100013,102808,28330,20002,107113,9909,2275,48272,100143,101312,68805,62926,99553,110195,32108,5373,62945,64682,48934,47872,33108,99960,100133,99788,1773],"total_duration":13994926083,"load_duration":580581250,"prompt_eval_count":10,"prompt_eval_duration":7565000000,"eval_count":221,"eval_duration":5847000000}%                

chat

流式返回

curl http://localhost:11434/api/chat -d '{
  "model": "deepseek-r1:1.5b",
  "messages": [
    { "role": "user", "content": "介绍一下React，20字以内" }
  ]
}'
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.232125Z","message":{"role":"assistant","content":"\u003cthink\u003e"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.259409Z","message":{"role":"assistant","content":"\n"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.28599Z","message":{"role":"assistant","content":"好"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.31039Z","message":{"role":"assistant","content":"，"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.336625Z","message":{"role":"assistant","content":"我"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.361958Z","message":{"role":"assistant","content":"需要"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.388512Z","message":{"role":"assistant","content":"向"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.416532Z","message":{"role":"assistant","content":"用户"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.444472Z","message":{"role":"assistant","content":"介绍"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.471107Z","message":{"role":"assistant","content":" React"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.497479Z","message":{"role":"assistant","content":"，并"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.528484Z","message":{"role":"assistant","content":"且"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.556099Z","message":{"role":"assistant","content":"在"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.583Z","message":{"role":"assistant","content":"2"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.609043Z","message":{"role":"assistant","content":"0"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.638455Z","message":{"role":"assistant","content":"个"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.66561Z","message":{"role":"assistant","content":"字"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.693736Z","message":{"role":"assistant","content":"内"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.720382Z","message":{"role":"assistant","content":"。"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.746511Z","message":{"role":"assistant","content":"首先"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.774451Z","message":{"role":"assistant","content":"，"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.80749Z","message":{"role":"assistant","content":"我知道"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.836109Z","message":{"role":"assistant","content":"React"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.862342Z","message":{"role":"assistant","content":"是一个"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.889846Z","message":{"role":"assistant","content":"用于"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.91698Z","message":{"role":"assistant","content":"开发"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.943708Z","message":{"role":"assistant","content":"用户"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.971377Z","message":{"role":"assistant","content":"界面"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:46.99777Z","message":{"role":"assistant","content":"（"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.025913Z","message":{"role":"assistant","content":"UI"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.05449Z","message":{"role":"assistant","content":"）"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.081918Z","message":{"role":"assistant","content":"的"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.109693Z","message":{"role":"assistant","content":"JavaScript"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.137707Z","message":{"role":"assistant","content":"框架"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.164627Z","message":{"role":"assistant","content":"，"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.193685Z","message":{"role":"assistant","content":"它"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.220618Z","message":{"role":"assistant","content":"结合"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.24719Z","message":{"role":"assistant","content":"了"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.275558Z","message":{"role":"assistant","content":"HTML"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.305462Z","message":{"role":"assistant","content":"、"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.348249Z","message":{"role":"assistant","content":"CSS"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.384096Z","message":{"role":"assistant","content":"和"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.423779Z","message":{"role":"assistant","content":"JavaScript"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.4497Z","message":{"role":"assistant","content":"，"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.477957Z","message":{"role":"assistant","content":"允许"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.505337Z","message":{"role":"assistant","content":"开发者"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.531951Z","message":{"role":"assistant","content":"快速"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.559288Z","message":{"role":"assistant","content":"创建"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.588299Z","message":{"role":"assistant","content":"动态"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.614969Z","message":{"role":"assistant","content":"、"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.642937Z","message":{"role":"assistant","content":"响应"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.669701Z","message":{"role":"assistant","content":"式"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.696386Z","message":{"role":"assistant","content":" UI"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.726968Z","message":{"role":"assistant","content":"。\n\n"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.756974Z","message":{"role":"assistant","content":"接下来"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.785405Z","message":{"role":"assistant","content":"，"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.812711Z","message":{"role":"assistant","content":"我"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.839465Z","message":{"role":"assistant","content":"应该"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.866641Z","message":{"role":"assistant","content":"解释"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.893985Z","message":{"role":"assistant","content":"它的"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.921775Z","message":{"role":"assistant","content":"核心"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.948456Z","message":{"role":"assistant","content":"目标"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:47.975404Z","message":{"role":"assistant","content":"："},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.005716Z","message":{"role":"assistant","content":"提供"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.033996Z","message":{"role":"assistant","content":"一个"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.061283Z","message":{"role":"assistant","content":"强大的"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.088028Z","message":{"role":"assistant","content":"、"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.1146Z","message":{"role":"assistant","content":"轻"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.142935Z","message":{"role":"assistant","content":"量"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.172398Z","message":{"role":"assistant","content":"级"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.198139Z","message":{"role":"assistant","content":"、"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.225734Z","message":{"role":"assistant","content":"高性能"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.252634Z","message":{"role":"assistant","content":"的"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.281161Z","message":{"role":"assistant","content":"表达"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.309302Z","message":{"role":"assistant","content":"式"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.336417Z","message":{"role":"assistant","content":"库"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.362269Z","message":{"role":"assistant","content":"，"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.390258Z","message":{"role":"assistant","content":"帮助"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.41877Z","message":{"role":"assistant","content":"开发者"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.44767Z","message":{"role":"assistant","content":"快速"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.474605Z","message":{"role":"assistant","content":"实现"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.503993Z","message":{"role":"assistant","content":"良好的"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.531055Z","message":{"role":"assistant","content":"用户体验"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.559696Z","message":{"role":"assistant","content":"。"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.587544Z","message":{"role":"assistant","content":"这样"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.617458Z","message":{"role":"assistant","content":"可以"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.646238Z","message":{"role":"assistant","content":"突出"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.673033Z","message":{"role":"assistant","content":" React"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.699625Z","message":{"role":"assistant","content":"的核心"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.726005Z","message":{"role":"assistant","content":"功能"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.754121Z","message":{"role":"assistant","content":"及其"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.780345Z","message":{"role":"assistant","content":"优势"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.80931Z","message":{"role":"assistant","content":"。\n\n"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.837619Z","message":{"role":"assistant","content":"然后"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.864327Z","message":{"role":"assistant","content":"，"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.891341Z","message":{"role":"assistant","content":"我"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.918541Z","message":{"role":"assistant","content":"想到"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.945462Z","message":{"role":"assistant","content":"React"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:48.973566Z","message":{"role":"assistant","content":"的一个"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.000124Z","message":{"role":"assistant","content":"主要"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.027722Z","message":{"role":"assistant","content":"特点"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.05547Z","message":{"role":"assistant","content":"就是"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.081801Z","message":{"role":"assistant","content":"它"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.109845Z","message":{"role":"assistant","content":"支持"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.140143Z","message":{"role":"assistant","content":"跨"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.169958Z","message":{"role":"assistant","content":"平台"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.195858Z","message":{"role":"assistant","content":"和"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.223345Z","message":{"role":"assistant","content":"异"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.249361Z","message":{"role":"assistant","content":"步"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.276832Z","message":{"role":"assistant","content":"编程"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.306457Z","message":{"role":"assistant","content":"，"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.333967Z","message":{"role":"assistant","content":"这"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.360529Z","message":{"role":"assistant","content":"使得"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.388281Z","message":{"role":"assistant","content":"它可以"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.415368Z","message":{"role":"assistant","content":"在一个"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.443942Z","message":{"role":"assistant","content":"项目"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.47115Z","message":{"role":"assistant","content":"中"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.498101Z","message":{"role":"assistant","content":"运行"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.525013Z","message":{"role":"assistant","content":"在"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.552797Z","message":{"role":"assistant","content":"任何"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.579942Z","message":{"role":"assistant","content":"设备"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:49.608665Z","message":{"role":"assistant","content":"上"},"done":false}
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{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.005188Z","message":{"role":"assistant","content":" "},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.032635Z","message":{"role":"assistant","content":"专注于"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.061121Z","message":{"role":"assistant","content":"构建"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.098546Z","message":{"role":"assistant","content":"快"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.127362Z","message":{"role":"assistant","content":"节奏"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.155186Z","message":{"role":"assistant","content":"的工作"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.181683Z","message":{"role":"assistant","content":"环境"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.210529Z","message":{"role":"assistant","content":"，"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.238751Z","message":{"role":"assistant","content":"利用"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.265593Z","message":{"role":"assistant","content":"它"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.292377Z","message":{"role":"assistant","content":"可以在"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.323441Z","message":{"role":"assistant","content":"任何"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.350614Z","message":{"role":"assistant","content":"设备"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.378418Z","message":{"role":"assistant","content":"运行"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.408209Z","message":{"role":"assistant","content":"，并"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.43614Z","message":{"role":"assistant","content":"在"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.463124Z","message":{"role":"assistant","content":"网络"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.493766Z","message":{"role":"assistant","content":"中"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.523164Z","message":{"role":"assistant","content":"传输"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.551377Z","message":{"role":"assistant","content":"代码"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.579036Z","message":{"role":"assistant","content":"，"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.606693Z","message":{"role":"assistant","content":"提高"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.634342Z","message":{"role":"assistant","content":"开发"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.663374Z","message":{"role":"assistant","content":"效率"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.691788Z","message":{"role":"assistant","content":"并"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.720497Z","message":{"role":"assistant","content":"增强"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.747413Z","message":{"role":"assistant","content":"项目"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.77571Z","message":{"role":"assistant","content":"部署"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.805508Z","message":{"role":"assistant","content":"。"},"done":false}
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:06:54.835059Z","message":{"role":"assistant","content":""},"done_reason":"stop","done":true,"total_duration":8805067917,"load_duration":31883750,"prompt_eval_count":10,"prompt_eval_duration":168000000,"eval_count":301,"eval_duration":8603000000}

非流式返回

curl http://localhost:11434/api/chat -d '{
  "model": "deepseek-r1:1.5b",
  "messages": [
    { "role": "user", "content": "介绍一下React，20字以内" }
  ],
  "stream": false
}'
{"model":"deepseek-r1:1.5b","created_at":"2025-02-05T09:08:59.831945Z","message":{"role":"assistant","content":"\u003cthink\u003e\n好的，我现在要介绍一下 React，在20个字以内。我得先回忆一下React是什么，主要功能和特点。\n\nReact，全称是Raphaël Fourer的JavaScript框架，由他开发。它主要用于前端开发，帮助快速创建交互式应用。听说它支持多种平台，比如iOS、Android和Web。用户可以通过组件库来导入各种组件，像Card、Button之类的，这样不需要每次都写代码，而是使用预定义的模板。\n\nReact的一个主要特点就是接口简洁。每个组件都有明确的 props，看起来很整洁。这让我觉得容易上手，不需要太多解释，而且开发效率很高。另外，它有语法高亮和自动生成，这对学习来说特别方便，不会让人混淆。\n\n我还记得React有一个组件，叫Dashboard.js，用于生成交互式图表或仪表盘。这个可能在数据分析时很有用。不过我不太清楚具体的实现细节。\n\n然后是它的协作功能，支持多人在线开发，这可能对团队合作有帮助。还有版本控制系统，可以管理不同版本的组件和项目，这对于维护和扩展项目非常重要。\n\n总的来说， React是一个简单高效、灵活的框架，适合快速创建交互式应用。它提供了一系列易于使用的组件库，使开发者可以轻松构建用户界面，同时语法清晰，开发效率高。需要提醒用户的是，它可能有一定的学习曲线，但一旦熟悉，开发起来很快。\n\u003c/think\u003e\n\nReact 是 Raphaël Fourer 开发的 JavaScript 软件框架，主要用于前端开发，提供快速创建交互式应用的工具。其特点包括简洁易用、语法高亮和自动生成，适合快速上手，适合多种平台使用。"},"done_reason":"stop","done":true,"total_duration":9286320459,"load_duration":30272584,"prompt_eval_count":10,"prompt_eval_duration":129000000,"eval_count":350,"eval_duration":9124000000}%                                          

web UI

除了上面终端和 API 调用的方式，目前还有许多开源的 Web UI，可以本地搭建一个可视化的页面来实现对话，比如：

open-webui

https://github.com/open-webui/open-webui

lollms-webui

https://github.com/ParisNeo/lollms-webui

Ollama

Get up and running with large language models.

macOS

Download

Windows

Download

Linux

1	`curl -fsSL https://ollama.com/install.sh \| sh`

Manual install instructions

Docker

The official Ollama Docker image ollama/ollama is available on Docker Hub.

Libraries

Community

Quickstart

To run and chat with Llama 3.2:

1	`ollama run llama3.2`

Model library

Ollama supports a list of models available on ollama.com/library

Here are some example models that can be downloaded:

Model	Parameters	Size	Download
Llama 3.3	70B	43GB	`ollama run llama3.3`
Llama 3.2	3B	2.0GB	`ollama run llama3.2`
Llama 3.2	1B	1.3GB	`ollama run llama3.2:1b`
Llama 3.2 Vision	11B	7.9GB	`ollama run llama3.2-vision`
Llama 3.2 Vision	90B	55GB	`ollama run llama3.2-vision:90b`
Llama 3.1	8B	4.7GB	`ollama run llama3.1`
Llama 3.1	405B	231GB	`ollama run llama3.1:405b`
Phi 4	14B	9.1GB	`ollama run phi4`
Phi 3 Mini	3.8B	2.3GB	`ollama run phi3`
Gemma 2	2B	1.6GB	`ollama run gemma2:2b`
Gemma 2	9B	5.5GB	`ollama run gemma2`
Gemma 2	27B	16GB	`ollama run gemma2:27b`
Mistral	7B	4.1GB	`ollama run mistral`
Moondream 2	1.4B	829MB	`ollama run moondream`
Neural Chat	7B	4.1GB	`ollama run neural-chat`
Starling	7B	4.1GB	`ollama run starling-lm`
Code Llama	7B	3.8GB	`ollama run codellama`
Llama 2 Uncensored	7B	3.8GB	`ollama run llama2-uncensored`
LLaVA	7B	4.5GB	`ollama run llava`
Solar	10.7B	6.1GB	`ollama run solar`

[!NOTE] You should have at least 8 GB of RAM available to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models.

Customize a model

Import from GGUF

Ollama supports importing GGUF models in the Modelfile:

Create a file named Modelfile, with a FROM instruction with the local filepath to the model you want to import.
1
FROM ./vicuna-33b.Q4_0.gguf
Create the model in Ollama
1
ollama create example -f Modelfile
Run the model
1
ollama run example

Import from Safetensors

See the guide on importing models for more information.

Customize a prompt

Models from the Ollama library can be customized with a prompt. For example, to customize the llama3.2 model:

1	`ollama pull llama3.2`

Create a Modelfile:

FROM llama3.2

# set the temperature to 1 [higher is more creative, lower is more coherent]
PARAMETER temperature 1

# set the system message
SYSTEM """
You are Mario from Super Mario Bros. Answer as Mario, the assistant, only.
"""

Next, create and run the model:

ollama create mario -f ./Modelfile
ollama run mario
>>> hi
Hello! It's your friend Mario.

For more information on working with a Modelfile, see the Modelfile documentation.

CLI Reference

Create a model

ollama create is used to create a model from a Modelfile.

1	`ollama create mymodel -f ./Modelfile`

Pull a model

1	`ollama pull llama3.2`

This command can also be used to update a local model. Only the diff will be pulled.

Remove a model

1	`ollama rm llama3.2`

Copy a model

1	`ollama cp llama3.2 my-model`

Multiline input

For multiline input, you can wrap text with """:

>>> """Hello,
... world!
... """
I'm a basic program that prints the famous "Hello, world!" message to the console.

Multimodal models

ollama run llava "What's in this image? /Users/jmorgan/Desktop/smile.png"
The image features a yellow smiley face, which is likely the central focus of the picture.

Pass the prompt as an argument

$ ollama run llama3.2 "Summarize this file: $(cat README.md)"
 Ollama is a lightweight, extensible framework for building and running language models on the local machine. It provides a simple API for creating, running, and managing models, as well as a library of pre-built models that can be easily used in a variety of applications.

Show model information

1	`ollama show llama3.2`

List models on your computer

1	`ollama list`

List which models are currently loaded

1	`ollama ps`

Stop a model which is currently running

1	`ollama stop llama3.2`

Start Ollama

ollama serve is used when you want to start ollama without running the desktop application.

Building

See the developer guide

Running local builds

Next, start the server:

1	`./ollama serve`

Finally, in a separate shell, run a model:

1	`./ollama run llama3.2`

REST API

Ollama has a REST API for running and managing models.

Generate a response

curl http://localhost:11434/api/generate -d '{
  "model": "llama3.2",
  "prompt":"Why is the sky blue?"
}'

Chat with a model

curl http://localhost:11434/api/chat -d '{
  "model": "llama3.2",
  "messages": [
    { "role": "user", "content": "why is the sky blue?" }
  ]
}'

See the API documentation for all endpoints.

Community Integrations

Web & Desktop

Open WebUI
Enchanted (macOS native)
Hollama
Lollms-Webui
LibreChat
Bionic GPT
HTML UI
Saddle
Chatbot UI
Chatbot UI v2
Typescript UI
Minimalistic React UI for Ollama Models
Ollamac
big-AGI
Cheshire Cat assistant framework
Amica
chatd
Ollama-SwiftUI
Dify.AI
MindMac
NextJS Web Interface for Ollama
Msty
Chatbox
WinForm Ollama Copilot
NextChat with Get Started Doc
Alpaca WebUI
OllamaGUI
OpenAOE
Odin Runes
LLM-X (Progressive Web App)
AnythingLLM (Docker + MacOs/Windows/Linux native app)
Ollama Basic Chat: Uses HyperDiv Reactive UI
Ollama-chats RPG
IntelliBar (AI-powered assistant for macOS)
QA-Pilot (Interactive chat tool that can leverage Ollama models for rapid understanding and navigation of GitHub code repositories)
ChatOllama (Open Source Chatbot based on Ollama with Knowledge Bases)
CRAG Ollama Chat (Simple Web Search with Corrective RAG)
RAGFlow (Open-source Retrieval-Augmented Generation engine based on deep document understanding)
StreamDeploy (LLM Application Scaffold)
chat (chat web app for teams)
Lobe Chat with Integrating Doc
Ollama RAG Chatbot (Local Chat with multiple PDFs using Ollama and RAG)
BrainSoup (Flexible native client with RAG & multi-agent automation)
macai (macOS client for Ollama, ChatGPT, and other compatible API back-ends)
RWKV-Runner (RWKV offline LLM deployment tool, also usable as a client for ChatGPT and Ollama)
Ollama Grid Search (app to evaluate and compare models)
Olpaka (User-friendly Flutter Web App for Ollama)
OllamaSpring (Ollama Client for macOS)
LLocal.in (Easy to use Electron Desktop Client for Ollama)
Shinkai Desktop (Two click install Local AI using Ollama + Files + RAG)
AiLama (A Discord User App that allows you to interact with Ollama anywhere in discord )
Ollama with Google Mesop (Mesop Chat Client implementation with Ollama)
R2R (Open-source RAG engine)
Ollama-Kis (A simple easy to use GUI with sample custom LLM for Drivers Education)
OpenGPA (Open-source offline-first Enterprise Agentic Application)
Painting Droid (Painting app with AI integrations)
Kerlig AI (AI writing assistant for macOS)
AI Studio
Sidellama (browser-based LLM client)
LLMStack (No-code multi-agent framework to build LLM agents and workflows)
BoltAI for Mac (AI Chat Client for Mac)
Harbor (Containerized LLM Toolkit with Ollama as default backend)
PyGPT (AI desktop assistant for Linux, Windows and Mac)
Alpaca (An Ollama client application for linux and macos made with GTK4 and Adwaita)
AutoGPT (AutoGPT Ollama integration)
Go-CREW (Powerful Offline RAG in Golang)
PartCAD (CAD model generation with OpenSCAD and CadQuery)
Ollama4j Web UI - Java-based Web UI for Ollama built with Vaadin, Spring Boot and Ollama4j
PyOllaMx - macOS application capable of chatting with both Ollama and Apple MLX models.
Claude Dev - VSCode extension for multi-file/whole-repo coding
Cherry Studio (Desktop client with Ollama support)
ConfiChat (Lightweight, standalone, multi-platform, and privacy focused LLM chat interface with optional encryption)
Archyve (RAG-enabling document library)
crewAI with Mesop (Mesop Web Interface to run crewAI with Ollama)
Tkinter-based client (Python tkinter-based Client for Ollama)
LLMChat (Privacy focused, 100% local, intuitive all-in-one chat interface)
Local Multimodal AI Chat (Ollama-based LLM Chat with support for multiple features, including PDF RAG, voice chat, image-based interactions, and integration with OpenAI.)
ARGO (Locally download and run Ollama and Huggingface models with RAG on Mac/Windows/Linux)
OrionChat - OrionChat is a web interface for chatting with different AI providers
G1 (Prototype of using prompting strategies to improve the LLM’s reasoning through o1-like reasoning chains.)
Web management (Web management page)
Promptery (desktop client for Ollama.)
Ollama App (Modern and easy-to-use multi-platform client for Ollama)
SpaceLlama (Firefox and Chrome extension to quickly summarize web pages with ollama in a sidebar)
YouLama (Webapp to quickly summarize any YouTube video, supporting Invidious as well)
DualMind (Experimental app allowing two models to talk to each other in the terminal or in a web interface)
ollamarama-matrix (Ollama chatbot for the Matrix chat protocol)
ollama-chat-app (Flutter-based chat app)
Perfect Memory AI (Productivity AI assists personalized by what you have seen on your screen, heard and said in the meetings)
Hexabot (A conversational AI builder)
Reddit Rate (Search and Rate Reddit topics with a weighted summation)
OpenTalkGpt (Chrome Extension to manage open-source models supported by Ollama, create custom models, and chat with models from a user-friendly UI)
VT (A minimal multimodal AI chat app, with dynamic conversation routing. Supports local models via Ollama)
Nosia (Easy to install and use RAG platform based on Ollama)
Witsy (An AI Desktop application available for Mac/Windows/Linux)
Abbey (A configurable AI interface server with notebooks, document storage, and YouTube support)
Minima (RAG with on-premises or fully local workflow)
aidful-ollama-model-delete (User interface for simplified model cleanup)
Perplexica (An AI-powered search engine & an open-source alternative to Perplexity AI)
AI Toolkit for Visual Studio Code (Microsoft-official VSCode extension to chat, test, evaluate models with Ollama support, and use them in your AI applications.)
MinimalNextOllamaChat (Minimal Web UI for Chat and Model Control)
Chipper AI interface for tinkerers (Ollama, Haystack RAG, Python)

Cloud

Terminal

oterm
Ellama Emacs client
Emacs client
neollama UI client for interacting with models from within Neovim
gen.nvim
ollama.nvim
ollero.nvim
ollama-chat.nvim
ogpt.nvim
gptel Emacs client
Oatmeal
cmdh
ooo
shell-pilot(Interact with models via pure shell scripts on Linux or macOS)
tenere
llm-ollama for Datasette’s LLM CLI.
typechat-cli
ShellOracle
tlm
podman-ollama
gollama
ParLlama
Ollama eBook Summary
Ollama Mixture of Experts (MOE) in 50 lines of code
vim-intelligence-bridge Simple interaction of “Ollama” with the Vim editor
x-cmd ollama
bb7
SwollamaCLI bundled with the Swollama Swift package. Demo
aichat All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI tools & agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.
PowershAI PowerShell module that brings AI to terminal on Windows, including support for Ollama
orbiton Configuration-free text editor and IDE with support for tab completion with Ollama.

Apple Vision Pro

Enchanted

Database

pgai - PostgreSQL as a vector database (Create and search embeddings from Ollama models using pgvector)
- Get started guide
MindsDB (Connects Ollama models with nearly 200 data platforms and apps)
chromem-go with example
Kangaroo (AI-powered SQL client and admin tool for popular databases)

Package managers

Libraries

LangChain and LangChain.js with example
Firebase Genkit
crewAI
Yacana (User-friendly multi-agent framework for brainstorming and executing predetermined flows with built-in tool integration)
Spring AI with reference and example
LangChainGo with example
LangChain4j with example
LangChainRust with example
LangChain for .NET with example
LLPhant
LlamaIndex and LlamaIndexTS
LiteLLM
OllamaFarm for Go
OllamaSharp for .NET
Ollama for Ruby
Ollama-rs for Rust
Ollama-hpp for C++
Ollama4j for Java
ModelFusion Typescript Library
OllamaKit for Swift
Ollama for Dart
Ollama for Laravel
LangChainDart
Semantic Kernel - Python
Haystack
Elixir LangChain
Ollama for R - rollama
Ollama for R - ollama-r
Ollama-ex for Elixir
Ollama Connector for SAP ABAP
Testcontainers
Portkey
PromptingTools.jl with an example
LlamaScript
llm-axe (Python Toolkit for Building LLM Powered Apps)
Gollm
Gollama for Golang
Ollamaclient for Golang
High-level function abstraction in Go
Ollama PHP
Agents-Flex for Java with example
Parakeet is a GoLang library, made to simplify the development of small generative AI applications with Ollama.
Haverscript with examples
Ollama for Swift
Swollama for Swift with DocC
GoLamify
Ollama for Haskell
multi-llm-ts (A Typescript/JavaScript library allowing access to different LLM in unified API)
LlmTornado (C# library providing a unified interface for major FOSS & Commercial inference APIs)

Mobile

Enchanted
Maid
Ollama App (Modern and easy-to-use multi-platform client for Ollama)
ConfiChat (Lightweight, standalone, multi-platform, and privacy focused LLM chat interface with optional encryption)

Extensions & Plugins

Raycast extension
Discollama (Discord bot inside the Ollama discord channel)
Continue
Vibe (Transcribe and analyze meetings with Ollama)
Obsidian Ollama plugin
Logseq Ollama plugin
NotesOllama (Apple Notes Ollama plugin)
Dagger Chatbot
Discord AI Bot
Ollama Telegram Bot
Hass Ollama Conversation
Rivet plugin
Obsidian BMO Chatbot plugin
Cliobot (Telegram bot with Ollama support)
Copilot for Obsidian plugin
Obsidian Local GPT plugin
Open Interpreter
Llama Coder (Copilot alternative using Ollama)
Ollama Copilot (Proxy that allows you to use ollama as a copilot like Github copilot)
twinny (Copilot and Copilot chat alternative using Ollama)
Wingman-AI (Copilot code and chat alternative using Ollama and Hugging Face)
Page Assist (Chrome Extension)
Plasmoid Ollama Control (KDE Plasma extension that allows you to quickly manage/control Ollama model)
AI Telegram Bot (Telegram bot using Ollama in backend)
AI ST Completion (Sublime Text 4 AI assistant plugin with Ollama support)
Discord-Ollama Chat Bot (Generalized TypeScript Discord Bot w/ Tuning Documentation)
ChatGPTBox: All in one browser extension with Integrating Tutorial
Discord AI chat/moderation bot Chat/moderation bot written in python. Uses Ollama to create personalities.
Headless Ollama (Scripts to automatically install ollama client & models on any OS for apps that depends on ollama server)
Terraform AWS Ollama & Open WebUI (A Terraform module to deploy on AWS a ready-to-use Ollama service, together with its front end Open WebUI service.)
node-red-contrib-ollama
Local AI Helper (Chrome and Firefox extensions that enable interactions with the active tab and customisable API endpoints. Includes secure storage for user prompts.)
vnc-lm (Discord bot for messaging with LLMs through Ollama and LiteLLM. Seamlessly move between local and flagship models.)
LSP-AI (Open-source language server for AI-powered functionality)
QodeAssist (AI-powered coding assistant plugin for Qt Creator)
Obsidian Quiz Generator plugin
AI Summmary Helper plugin
TextCraft (Copilot in Word alternative using Ollama)
Alfred Ollama (Alfred Workflow)
TextLLaMA A Chrome Extension that helps you write emails, correct grammar, and translate into any language

Supported backends

llama.cpp project founded by Georgi Gerganov.

Observability

OpenLIT is an OpenTelemetry-native tool for monitoring Ollama Applications & GPUs using traces and metrics.
HoneyHive is an AI observability and evaluation platform for AI agents. Use HoneyHive to evaluate agent performance, interrogate failures, and monitor quality in production.
Langfuse is an open source LLM observability platform that enables teams to collaboratively monitor, evaluate and debug AI applications.