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Small forum update from the Data Sculpting side.
We're still tuning the structure and getting everything in place. Feedback is welcome, especially if a topic feels like it has no obvious home yet.
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Can you fill in a bit more context? What model, what runtime, and roughly what context size?
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I'd approach it in a boring order. On A6000, 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.
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Interesting, I hadn't tried that. The pattern around reranking has been pretty similar for me. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.
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following this because I'm in the same boat.
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A couple things I'd check first. On 7900 XTX, the easiest win is often to back off the aggressive settings and see whether the problem survives. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
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Can you fill in a bit more context? What model, what runtime, and roughly what context size?
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A couple things I'd check first. If you're on llama.cpp, I'd confirm the version first and then reduce variables until the behavior is obvious.
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Can you fill in a bit more context? Do you see the same thing with a smaller batch or shorter prompt?