I’ve a minipc running an AMD 5700U where I host some services, including ollama and openwebui.
Unfortunately the support of rocm isn’t quite there yet and not to mention that of mobile GPUs.
Surprisingly the prompts work when configured to use the CPU, but the speed is just… well, not good.
So, what’d be a cheap and energy efficient setup to run sone kind of LLM for personal use, but still get decent speed?
I was thinking about getting an e-gpu case, but I’m not sure about how solid this would end up.
I have my gaming pc running as ollama host when i need it (RX 6700XT with rocm doing the heavy lifting). PC idles at ~50W and draws up to 200W when generating an answer. It is plenty fast though.
My mini pc home server is running openwebui with access to this “ollama instance” but also OpenAIs api when i just need a quick answer and therefor don’t turn on my pc.
Just a noob question: any advantage of doing this (except privacy) of using thar setup instead of using chatgpt4 from openai website?
You can get different results, sometimes better sometimes worse, most of the time differently phrased (e.g. the gemma models by google like to do bulletlists and sometimes tell me where they got that information from). There are models specifically trained / finetuned for different tasks (mostly coding, but also writing stories, answering medical questions, telling me what is on a picture, speaking different languages, running on smaller / bigger hardware, etc.). Have a look at ollamas library of models which is outright tiny compared to e.g. huggingface.
Also, i don’t trust OpenAI and others to be confidential with company data or explicit code snippets from work i feed them.