It’s open source, although not 'cause it wants to be but 'cause it’s the best way to compete with mainstream non-chinese software internationally, you can easily remove any censorship included by default.
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.
It’s open source, although not 'cause it wants to be but 'cause it’s the best way to compete with mainstream non-chinese software internationally, you can easily remove any censorship included by default.
How?
By running it locally. The local models don’t have any censorship.
They do by default but like I said it’s open source so you can tweak it to not be.
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-r1:1.5bDeepSeek-R1-Distill-Qwen-7B:
ollama run deepseek-r1:7bDeepSeek-R1-Distill-Llama-8B:
ollama run deepseek-r1:8bDeepSeek-R1-Distill-Qwen-14B:
ollama run deepseek-r1:14bDeepSeek-R1-Distill-Qwen-32B:
ollama run deepseek-r1:32bDeepSeek-R1-Distill-Llama-70B:
ollama run deepseek-r1:70bBigger models means better output, but also longer generation times.