Please keep off topic stuff in the Off Topic forum

[Data Sculpting]

Quick reminder: please keep off-topic conversations in the Off Topic forum.

That helps the technical sections stay useful for people searching for hardware, models, engines, and troubleshooting threads later.

[Data Sculpting]

worth checking the driver first.

[sparrowhall]

worth checking the driver first.

What worked for me was pretty simple. If you're on llama.cpp, I'd confirm the version first and then reduce variables until the behavior is obvious.

[Data Sculpting]

Appreciate the detail. I don't think your conclusion is far off. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.

[stackpilot]

Appreciate the detail. I don't think your conclusion is far off. I got better results once I stopped chasing one metric and just looked at whether the

Did a small comparison this afternoon. The issue went away once I changed one setting and restarted the stack cleanly. The main thing that moved was latency, not quality.

[Data Sculpting]

Need a little more detail here. Is this local-only or are you routing anything externally?

[thetafield]

I don't think that's the whole story. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model. Worth testing the simpler explanation before adopting the more interesting one.

[Data Sculpting]

Thanks, that helps. I ended up in about the same place using PyTorch. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.

[deltagrid]

I think the bottleneck is somewhere else. The reported numbers can look compelling, but in ordinary usage I didn't see the same benefit. Worth testing the simpler explanation before adopting the more interesting one.

[Data Sculpting]

My first guess would be this: If you're on PyTorch, I'd confirm the version first and then reduce variables until the behavior is obvious. Once you know the plain path works, then add the faster path back in piece by piece.