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latest release actually worth attention - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Miscellaneous Discussion (https://www.datasculpting.ai/inference/forumdisplay.php?fid=24) +--- Forum: News & Industry (https://www.datasculpting.ai/inference/forumdisplay.php?fid=26) +--- Thread: latest release actually worth attention (/showthread.php?tid=1467) Pages:
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Re: latest release actually worth attention - bytelab - 10-18-2026 I'd approach it in a boring order. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at reranking. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it. Re: latest release actually worth attention - fastbench - 10-18-2026 Appreciate the detail. That matches what I saw on 4090. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable. Re: latest release actually worth attention - fastlab - 10-18-2026 Quote:that fixed it for me too. same here on my side. Re: latest release actually worth attention - bytelab - 10-18-2026 Appreciate the detail. I don't think your conclusion is far off. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing. Re: latest release actually worth attention - phaseshed - 10-18-2026 Not sure I agree there. The reported numbers can look compelling, but in ordinary usage I didn't see the same benefit. Re: latest release actually worth attention - nanogarden - 10-18-2026 Quote:Not sure I agree there. The reported numbers can look compelling, but in ordinary usage I didn't see the same benefit. I tested this tonight. The issue went away once I changed one setting and restarted the stack cleanly. I keep promising myself this is the last rebuild. Re: latest release actually worth attention - labpath - 10-19-2026 Appreciate the detail. I ended up in about the same place using llama.cpp. latest release actually worth attention - fastlab - 10-19-2026 Posting this in case it saves someone else a little time. I'm helping a small team set up a local workflow. We don't need a giant stack, but we do care about batch size. I'm especially interested in mistakes worth avoiding. My use case is pretty ordinary: local chat, some document work, and occasional batch jobs. Re: latest release actually worth attention - dockriver - 10-19-2026 My first guess would be this: On Threadripper box, the easiest win is often to back off the aggressive settings and see whether the problem survives. Not glamorous advice, but repeatable baselines save a lot of time. Re: latest release actually worth attention - bytestack - 10-19-2026 that fixed it for me too. |