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Spent some time on this today and wanted to compare notes.
Two paths both seem viable, but they break down differently once tool calling becomes important.
Interested in tradeoffs more than fan loyalty.
The part that surprised me was how much the boring details mattered more than the model choice.
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Maybe, but I had the opposite result. I've seen people blame speculative decoding when the real issue was much more mundane.
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I'd approach it in a boring order. If you're on SGLang, I'd confirm the version first and then reduce variables until the behavior is obvious.
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Thanks, that helps. I ended up in about the same place using LM Studio. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.
routing beats arguing over one perfect model
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subscribed, curious where this lands.
Mostly CUDA, sometimes wrong, usually measured
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That matches what I was seeing. 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.
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A couple questions before I guess too hard. Do you see the same thing with a smaller batch or shorter prompt?
small models can still be good
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That matches what I was seeing. That matches what I saw on A6000.