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一条指令让本地部署的DeepSeek R1和ChatGPT一样“好用” by oflyhigh

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hive-105017 · @oflyhigh ·
$78.38
一条指令让本地部署的DeepSeek R1和ChatGPT一样“好用”
之前写过一篇文章三分钟在本地运行DeepSeek R1推理模型，总结一下其实就是两句话，下载安装Ollama，拉取并使用对应的模型（比如deepseek-r1:8b）。


![keyboard-4482267_960_720.webp](https://images.hive.blog/DQmVbvXP6Ty9Fcrrb8pizvUtsCHqUo7GLq6ZVU5GDDcyiVT/keyboard-4482267_960_720.webp)
(图源 ：[pixabay](https://pixabay.com/illustrations/keyboard-hand-robot-machine-4482267/))

不过这样安装以后，对面界面是黑乎乎的命令行窗口，想往上翻对话记录也非常难，复制粘贴也非常不方便，如果系统再渣一点，模型反应慢，那简直就是折磨呀。

比如下边这个问答界面，先不管回答问题的质量，光看界面，就问你晕不晕，反正我是晕了！

你可以会好奇，问题中怎么还出现了.....，那是因为还有一句话，`现在，打开阀门`，请问被挤到屏幕的右边了，囧！
![1738628853760.png](https://images.hive.blog/DQmUQu7AijHRcJYiJAfei9pE9vMVdB8kH8SHQFd73YfFgxN/1738628853760.png)

那么有没有办法，让本地部署的DeepSeek R1，至少在界面上，使用方便性上和ChatGPT一样好用呢？答案当然是***有的***，那就是给DeepSeek R1加上一个WebUI。

使用哪种WebUI呢？我查了一下有不下十几种方案，不过被使用最多的貌似就是Open WebUI，那咱也别折腾别的啦，就选择这个吧。

不过貌似安装和配置Open WebUI也不是那么简单？比如网上很多方案都是使用Docker安装的，而我对Docker一无所知😳。那有没有什么适合我的方法呢？翻来翻去，发现一条指令：
>`pip install open-webui`

不用多，就这一条指令就可以搞定Open WebUI安装。不过不知道我告诉你这一条指令足足弄了一宿还多次以失败告终，你会不会气馁呢？而失败的原因嘛，那就是因为网速！

第二天一早，继续运行这个指令，安装搞定了，来让你看看一条指令在我电脑里装了多少东西？

![7f0de48683955b86175f7626410cea5.png](https://images.hive.blog/DQmebU7uX5Aw7E3ZXYNowunuruievmDmTvMKgFG3QfwRr6Q/7f0de48683955b86175f7626410cea5.png)

噗，具体有多少东西，反正我是数不过来了，也不打算数了。接下来是见证奇迹的时刻了，运行一下Open WebUI：
>`open-webui serve`

然后噗噗噗一通输出后，它就运行起来啦：
![0818a6f394d9e127b8b0b1195373f09.png](https://images.hive.blog/DQmZooknhomyuxq1nCr25XGJgc78ieUnXRXhfnFJNAhSeTZ/0818a6f394d9e127b8b0b1195373f09.png)


接下来，在浏览器中输入如下网址：
>`http://localhost:8080`

如果一切正常，会打开如下页面：

![5595adf33e7eb33d6ca3bf366c0ee79.png](https://images.hive.blog/DQmd52gcyud2kTaxUXs5CXFhaoNQb1nvMWYXjGn2WkvnxGo/5595adf33e7eb33d6ca3bf366c0ee79.png)


点击上边页面的底部，Get Started，创建一个管理员账户：
![2937f92d192100a0fe212ce43c74580.png](https://images.hive.blog/DQmTXwdRi626oAz86AQ4cWUwYUZ1hZokGyYN9arcXipCHb3/2937f92d192100a0fe212ce43c74580.png)

弹出的提示信息，可以直接关闭
![8b69530db5775217e292a47e5d1a3f1.png](https://images.hive.blog/DQmPYf29fSp1QvacZzKaEFPZXriUVewrut1j5ZTJXZhL1kF/8b69530db5775217e292a47e5d1a3f1.png)

如果你之前已经成功的安装了Ollama以及相应的模型，那么将直接可以工作：
![244eb72294b16565ddc04fd62636625.png](https://images.hive.blog/DQmWNjPcMU5ir19kar3ffzfc9Wu83FaUYRQ4g7sTefSsWry/244eb72294b16565ddc04fd62636625.png)

是不是很熟悉，没错，看起来和ChatGPT的对话窗口一样一样的，简直不要太方便。

让我来体验一下：
![165a4d90a45df72b8bcc2516271ec83.png](https://images.hive.blog/DQmTZYLKcfXTTFF3QKqsnCr5dEs59FDhuDm2kHgjqXvw6Hz/165a4d90a45df72b8bcc2516271ec83.png)

这是其中的部分代码：
![e11e0d2c94aa46f66f602eb101ea309.png](https://images.hive.blog/DQmV2f1EzkcTqApcs1J7qHEQrGtEJKBjoun6tm38MB2L6vW/e11e0d2c94aa46f66f602eb101ea309.png)

哦买噶，我是不是可以发币割韭菜了？哎，算了，韭菜何苦为难韭菜！

# 相关链接
* [三分钟在本地运行DeepSeek R1推理模型](https://hive.blog/hive-105017/@oflyhigh/deepseek-r1)
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vote details (367)
@annepink · 
O哥大年初八发发发！🧧🧧🧧🧧🧧🧧🧧🧧🧨🧨🧨🧨🧨🧨🧨🧨
@tipu curate 7
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@tipu · 
<a href="https://tipu.online/hive_curator?annepink" target="_blank">Upvoted  &#128076;</a> (Mana: 0/64) <a href="https://peakd.com/hive/@reward.app/reward-app-quick-guide-updated" target="_blank">Liquid rewards</a>.
👍  
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vote details (1)
@darknightlive · 
配置太差了跑不动，连8b的都不一定能跑。满血那玩意是600多B的。
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@davidke20 · 
强大！

纯水回复🤣 那天某用户还创造AI自动回复评论帖子，我看很快已经分不出是人还是鬼恢复了。说不定很快又如欧胸上面说，分分钟AI自行发币上链了。
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@fredaig · 
我真的不喜欢技术，因为它会让我感到困惑，而您是超自然的。
properties (22)
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@lemooljiang · 
O婶威武，国产之光！
properties (22)
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@love5200 · 
太厉害了，难怪说R1甚至超越GPT，但是对于我们这些代码小白来说，还是比较有难度，暂时只能限于手机APP上使用，哈哈
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@lunazhong · 
好及时的分享，感谢🫡
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@marygong77777 · 
👍👍
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