How to Set Up DeepSeek with Ollama and Docker (Step-by-Step Guide)
infinitecircuits.dev
infinitecircuits.dev
(It is possible to built an AMD epic based machine that can put out around 4 t/s on a reasonable q4 of DeepSeek R1 for <$3000, with CPU inference)
The distills offer a similar type of functionality implemented in other models such as Quen and LLAMA3… but are emphatically -not- DSR1, which is a very efficient and powerful SOTA model in it’s own right, even without the R1 reasoning fine tuning.
To be clear, for most people, this guide is not about running DeepSeek R1 , but rather about running DeepSeek trained distills of other popular models.
The article doesn't give a hint what those resources are, but I assume that my macbook doesn't have it.
So if I wanted to setup Ollama on digitalOcean [which offers both gpus and cpus], is there a good guide?
How would that compare to running locally?
How would that compare (privacy, quality, ease, etc) to huggingface or others?
I haven’t set up Ollama on DigitalOcean yet, but since they offer GPU instances, it should be a solid option. I’ll test it and write a guide soon.
Compared to running locally or using something like Hugging Face, DigitalOcean gives more power and flexibility but requires setup, while Hugging Face is easier but less customizable. I’ll share an update once I’ve tested the DigitalOcean setup