Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way
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Re: Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way
#2Set up a local AI with DeepSeek R1 on a dedicated Linux machine using Ollama—no cloud, no subscriptions, just raw AI power at your fingertips.
Re: Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way
#3Sorry if you guys get so overwhelmed with deepseek submissions these days. This will be my one and only in the next time. It is cool to have an anti-weight to all these pay models.
Re: Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way
#4Sorry if you guys get so overwhelmed with deepseek submissions these days. This will be my one and only in the next time. It is cool to have an anti-weight to all these pay models.
Personally I don't get sick of it. There's a lot of hype around Deepseek specifically rn, but to run SOTA or near SOTA models locally is a huge deal, even if it's slow.
Re: Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way
#5Are there any security concerns over DeepSeek as there are over TikTok?
Saw this in the article
>I would not recommend running this on your main system. Unless you like unnecessary risks.
Re: Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way
#6I like this. However, I did not find any minimum specs or speed. Maybe I missed? Can some point me in the right direction please?
Re: Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way
#7Maybe you should add "distills" to the title? As this is about installing Ollama to grab the 7b or 14b R1-Qwen-distills, not "R1".
Re: Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way
#8> Unless you like unnecessary risks. In that case, go ahead, genius.
what an off-putting start
Re: Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way
#9Sorry if you guys get so overwhelmed with deepseek submissions these days. This will be my one and only in the next time. It is cool to have an anti-weight to all these pay models.
Personally I don't get sick of it. There's a lot of hype around Deepseek specifically rn, but to run SOTA or near SOTA models locally is a huge deal, even if it's slow.
The issue is that this article is conflating (as do many, many articles about the topic) the distilled versions of R1 (basically llama/qwen reasoning finetunes) with the real thing. We are not even talking about quantized versions of R1 here, so it's not quite accurate to say you're running R1 here.
Re: Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way
#10I like this. However, I did not find any minimum specs or speed. Maybe I missed? Can some point me in the right direction please?
This is what you would expect given the title