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This keeps coming up in conversation so I figured I'd start a thread.
The more I work with local setups, the more it seems like consumer GPUs decides everything downstream.
Curious whether that lines up with what other people are seeing.
The part that surprised me was how much the boring details mattered more than the model choice.
trying not to rebuild again
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I think the bottleneck is somewhere else. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model. Worth testing the simpler explanation before adopting the more interesting one.
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What worked for me was pretty simple. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at tool calling.
watching release notes so you don't have to
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A couple things I'd check first. Before rebuilding anything, I'd test one clean baseline with DeepSeek and compare from there.
still benchmarking everything
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Need a little more detail here. Is this local-only or are you routing anything externally?
learning in public
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That matches what I was seeing. I don't think your conclusion is far off. The biggest change for me was simplifying the stack instead of adding one more optimization layer.
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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.
