this post was submitted on 23 May 2024
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Privacy
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The best option is to run them models locally. You'll need a good enough GPU - I have an RTX 3060 with 12 GB of VRAM, which is enough to do a lot of local AI work.
I use Ollama, and my favourite model to use with it is Mistral-7b-Instruct. It's a 7 billion parameter model optimised for instruction following, but usable with 4 bit quantisation, so the model takes about 4 GB of storage.
You can run it from the command line rather than a web interface - run the container for the server, and then something like
docker exec -it ollama ollama run mistral
, giving a command line interface. The model performs pretty well; not quite as well on some tasks as GPT-4, but also not brain-damaged from attempts to censor it.By default it keeps a local history, but you can turn that off.
Is that 12GB RAM just for the model or total?
I think the GPU has 12GB of physical ram.
D: