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model merge got better or just different: anyone testing this?
#1
Did a bit of testing and thought I'd post the result here.

Short version: llama.cpp behaved well for me, but only after I stopped ignoring speculative decoding.

Curious if anyone else landed in the same place.

I care more about stability than squeezing the last possible tokens/sec out of it.
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#2
Appreciate the detail. I ended up in about the same place using vLLM. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.
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#3
that fixed it for me too.
trying not to rebuild again
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