• ffhein@lemmy.world
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    1 year ago

    Awesome work! Going to try out koboldcpp right away. Currently running llama.cpp in docker on my workstation because it would be such a mess to get cuda toolkit installed natively…

    Out of curiosity, isn’t conda a bit redundant in docker since it already is an isolated environment?

    • noneabove1182@sh.itjust.worksOP
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      1 year ago

      Yes that’s a good comment for an FAQ cause I get it a lot and it’s a very good question haha. The reason I use it is for image size, the base nvidia devel image is needed for a lot of compilation during python package installation and is huge, so instead I use conda, transfer it to the nvidia-runtime image which is… also pretty big, but it saves several GB of space so it’s a worthwhile hack :)

      but yes avoiding CUDA messes on my bare machine is definitely my biggest motivation

      • ffhein@lemmy.world
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        1 year ago

        Ah, nice.

        Btw. perhaps you’d like to add:

        build: .

        to docker-compose.yml so you can just write “docker-compose build” instead of having to do it with a separate docker command. I would submit a PR for it but I have made a bunch of other changes to that file so it’s probably faster if you do it.