Lemmy Shitpost
Welcome to Lemmy Shitpost. Here you can shitpost to your hearts content.
Anything and everything goes. Memes, Jokes, Vents and Banter. Though we still have to comply with lemmy.world instance rules. So behave!
Rules:
1. Be Respectful
Refrain from using harmful language pertaining to a protected characteristic: e.g. race, gender, sexuality, disability or religion.
Refrain from being argumentative when responding or commenting to posts/replies. Personal attacks are not welcome here.
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That means:
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Content
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If you see content that is a breach of the rules, please flag and report the comment and a moderator will take action where they can.
Also check out:
Partnered Communities:
1.Memes
10.LinuxMemes (Linux themed memes)
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All communities included on the sidebar are to be made in compliance with the instance rules. Striker
view the rest of the comments
How?
By running it locally. The local models don't have any censorship.
I meant, how does one run it locally. I see a lot of people saying to just "run it locally" but for someone without a background in coding that doesn't really mean much.
You don't need a background in coding at all. In fact, the spaces of machine learning and programming are almost completely seperate.
Download Ollama.
Depending on the power of your GPU, run one of the following commands:
DeepSeek-R1-Distill-Qwen-1.5B:
ollama run deepseek-r1:1.5b
DeepSeek-R1-Distill-Qwen-7B:
ollama run deepseek-r1:7b
DeepSeek-R1-Distill-Llama-8B:
ollama run deepseek-r1:8b
DeepSeek-R1-Distill-Qwen-14B:
ollama run deepseek-r1:14b
DeepSeek-R1-Distill-Qwen-32B:
ollama run deepseek-r1:32b
DeepSeek-R1-Distill-Llama-70B:
ollama run deepseek-r1:70b
Bigger models means better output, but also longer generation times.
They do by default but like I said it's open source so you can tweak it to not be.