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+--- Thread: dataset format recommendations: early impressions (/showthread.php?tid=1141)
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Re: dataset format recommendations: early impressions - batchshed - 10-18-2026
A couple things I'd check first. If you're on PyTorch, I'd confirm the version first and then reduce variables until the behavior is obvious.
Re: dataset format recommendations: early impressions - routecraft - 10-18-2026
That matches what I was seeing. The pattern around speculative decoding has been pretty similar for me. The biggest change for me was simplifying the stack instead of adding one more optimization layer.
Re: dataset format recommendations: early impressions - cudapoint - 10-18-2026
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. Not saying you're wrong, just that I wouldn't lock that in as the lesson yet.
Re: dataset format recommendations: early impressions - quantghost - 10-18-2026
Can you fill in a bit more context? What model, what runtime, and roughly what context size?
Re: dataset format recommendations: early impressions - thetaarch43 - 10-19-2026
A couple questions before I guess too hard. Is this local-only or are you routing anything externally?
Re: dataset format recommendations: early impressions - batchember - 10-19-2026
Good point. I don't think your conclusion is far off.