you can check the process to see if its communicating at all. none of the big ones do. its possible someone could be fucking with the file though, before the safetensors format this was a big issue, and still sort of is afterwards. only DL from reputable sources
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
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.
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.
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 ?
you can check the process to see if its communicating at all. none of the big ones do. its possible someone could be fucking with the file though, before the safetensors format this was a big issue, and still sort of is afterwards. only DL from reputable sources
Can’t you run if from a container? I guess the will slow it down, but it will deny access to your files.
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
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)
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.
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.
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 ?