+- Inference (https://www.datasculpting.ai/inference)
+-- Forum: Generative AI (https://www.datasculpting.ai/inference/forumdisplay.php?fid=17)
+--- Forum: Multimodal (https://www.datasculpting.ai/inference/forumdisplay.php?fid=72)
+--- Thread: Multimodal discussion (/showthread.php?tid=1290)
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Re: Multimodal discussion - cudaworks - 10-18-2026
I think the bottleneck is somewhere else. I've seen people blame quant drift when the real issue was much more mundane. Could be a workload difference, but I wouldn't generalize too fast from one setup.
Re: Multimodal discussion - macropilot - 10-18-2026
Did a small comparison this afternoon. On A6000 with MLX, I saw basically the same behavior.
Re: Multimodal discussion - torchshed66 - 10-19-2026
Quote:Did a small comparison this afternoon. On A6000 with MLX, I saw basically the same behavior.
What exact setup are you running? Do you see the same thing with a smaller batch or shorter prompt?
Re: Multimodal discussion - batchember - 10-19-2026
same here on my side.
Re: Multimodal discussion - visionforge - 10-19-2026
I'd approach it in a boring order. If you're on llama.cpp, 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.