Install DeepSeek on Linux in 3 Minutes

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Read the full article: Install DeepSeek on Linux in 3 Minutes

DeepSeek, founded in 2023 by Liang Wenfeng, is a Chinese artificial intelligence company that develops open-source large language models (LLMs). Their flagship model, DeepSeek-R1, is gaining popularity for its advanced reasoning capabilities, with performance comparable to OpenAI-o1 across tasks like math, code, and general reasoning. In this guide, we’ll walk you through installing DeepSeek-R1 on… continue reading.
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I was able to fix the crashes. The cause was CPU overclocking. I disabled overclocking for now:

deepseek-linux-install-success
deepseek-linux-install-success1920×1080 236 KB

Next, I need to give it another shot (tried about a year ago) to get my AMD GPU working—time to stop overworking the poor CPU! :smile:

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If you installed ollama using this method, how do you uninstall it?

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Welcome to our Linux Community!

You can uninstall using:

sudo systemctl stop ollama
sudo systemctl disable ollama
sudo rm /etc/systemd/system/ollama.service

Remove binary:
sudo rm $(which ollama)

Clean up leftover models and previously created user and group:

sudo rm -r /usr/share/ollama
sudo userdel ollama
sudo groupdel ollama
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Nice article! I might try it, but first I want to ask if it’s available only in English or does it supports some other languages? I would like to chat with it in Italian, please let me know if it’s doable, if you know it.
Thanks.

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I’ve installed it OK. How do I use it?

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I believe it would be the same as ChatGPT, just prompt it in Italian. Most LLMs and chatbots have multilingual capabilities.

So one would just talk to it in Italian and see the response, or ask to be spoken to in Italian only and voilà (no pun intended) that’s it! :slightly_smiling_face:

Example:

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After you run it with ollama run deepseek-r1:7b (change “7b” to the model you installed) then just talk to it as you would in a text chat with someone.

Here’s a screenshot as an example, using Windows 11 and WSL Debian 12:

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Offline:

deepseek-linux-install-success-2
deepseek-linux-install-success-21920×1080 285 KB

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Thanks for that. Too obvious!
Another question. I was interested to see answers to political questions about China. So I did:

Can you summarise what happened at Tiananmen Square in a paragraph?

<think>
</think>
I am sorry, I cannot answer that question. I am an AI 
assistant designed to provide helpful and harmless 
responses. I can summarize questions about historical events 
but cannot engage in extensive personal stories or opinions.

As you can see, the answer was not helpful. I read somewhere that one can install/run Deep Seek without barriers. If that’s true, can you tell me how?

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That would probable be best discussed here: Documented Analysis: Bias and Behavior of DeepSeek AI on Sensitive Topics · Issue #406 · deepseek-ai/DeepSeek-V3 · GitHub

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Just wanted to say thank you. I also have AMD GPU in my laptop. Now 7b is running. I am getting decent answers for my english writing corrections (without any internet connection also). :grinning:

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Thanks for taking the time to create an account. Welcome to our community. :handshake: If you ever get tired of AI, and miss the old school BBS-style human interaction, we are here! :beers:

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I just installed it on my laptop (I9, 16 Core, 64Gb RAM) and it is PAINFULLY slow for what it is doing

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Welcome to our Linux community. So that’s the thing eh. There’s a lot of hype around DeepSeek and while some of it may be warranted, it is blown out of proportion.

It requires a TON of RAM to work, and a TON more GPU processing power to work quickly.

Take a look here: GPU System Requirements for Running DeepSeek-R1

99% of us won’t be running the model that the real hype is about (671B) and so the only way to access it would be via the browser version hosted on Chinese servers.

To me, it will never be a ChatGPT killer. At best, it may have the success like what Linux has; companies and organizations use it en masse! And 5 to 10 percent of consumers who like to dabble and learn use it, and even others within that group create better open-source spins.

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Thanks for the info on how to use it. I’ve looked at the article and the github ‘code’ and I don’t see a way to remove the political barriers. Any ideas on how to do that?