[flagged]
There are certainly challenges. When setting up a new model, I get AI to walk me through the commands using llama-benchmark that determine the best parameters for my particular configuration and needs. Once you've got that it's pretty easy to port those parameters to llama-server. It takes me about an hour to run through this process. It would be great if there was a registry of hardware, models, configuration parameters, and resulting tokens per second. Maybe one day we'll get there.
I think people generally throw Claude or Codex at the configuration challenge, so they don't know either.
No
What hardware do you run? I have a first-gen mac studio, and I just run cmake and build with no special options. Same thing with llama-server, I just specify the model and use the built-in web UI.
For reference, I get ~26 tok/sec with the new Muse 30B model.