I’ve been play around with ollama. Given you download the model, can you trust it isn’t sending telemetry?

  • Jack@slrpnk.net
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    14 hours ago

    Can’t you run if from a container? I guess the will slow it down, but it will deny access to your files.

    • acockworkorange
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      8 hours ago

      Containers don’t really slow down apps significantly. It’s not a VM, it’s still a native app running in your kernel, just on a separate memory space and restricted access to hardware.

      • Jack@slrpnk.net
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        7 hours ago

        That is true for Linux and maybe Mac, but on windows I think they have a bit more overhead. But again I agree that in most cases it is not significant.

        • acockworkorange
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          25 minutes ago

          Is the overhead because of containers or is it because you’re running something that is meant to run on Linux and is using a conversion layer like MinGW ?

          • stink@lemmygrad.ml
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            2 hours ago

            Windows > Windows Subsystem for Linux (WSL) Ubuntu > docker container

            I think WSL 2 actually runs Linux in a virtual environment. I’ve tried getting my own LLM instance running on my windows machine but it’s been such a pain.

    • marcie (she/her)@lemmy.ml
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      14 hours ago

      yeah you could. though i dont see any evidence that the large open source llm programs like jan.ai or ollama are doing anything wrong with their program or files. chucking it in a sandbox would solve the problem for good though

      • SeekPie@lemm.ee
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        12 hours ago

        You could use “Alpaca” flatpak and remove the internet access with flatseal after having downloaded the model. (Linux)

        Or deny the app’s access to internet in app settings. (Android)