[zo1]

Do you know how much time I (or any other dev) would spend getting a C#, or C++, or JS/TS, or Java or any language project running that has anything to do with ML up and running on tech and tooling we are kinda unfamiliar with? Yes, pretty much 1-2 hours, and very likely more.

Sorry but this sort of criticism is so contrived and low-effort. "Oh I tried compiling a language I don't know, using tooling I never use, using an OS I never use (and I hate too btw), and have no experience in any of it, oh and on a brand-new project that's kinda cutting-edge and doing something experimental with an AI/ML model."

I could copy-paste your entire thing, replace Windows with Mac, complain about homebrew that I have no idea how to use, developing an iMac app using SwiftUI in some rando editor (probably VSCode or VI), and it would still be the case. It says 0 about the ecosystem, 0 about the OS, 0 about the tools you use, 0 about you as a developer, and dare I say >0 about the usefulness of the comment.

[zamadatix]

For development is one thing, the problem is with this being how the LLM app distribution for general use works too.

[TeamDman]

Python dependency management sucks ass. Installing pytorch with cuda enabled while dealing with issues from the pytorch index having a linux-only version of a package causing shit to fail is endlessly frustrating

A good ecosystem has lockfiles by default, python does not.