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Has anyone else run into this?
My current setup is LM Studio with GB200, and I keep running into token cost.
If you've tested something similar, what did you keep and what did you stop bothering with?
My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.
still benchmarking everything
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What worked for me was pretty simple. On Threadripper box, 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.
learning in public
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Ran a quick check on my box. I couldn't reproduce the slowdown until I pushed context much higher.
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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. I keep promising myself this is the last rebuild.
measure twice, benchmark three times
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Maybe, but I had the opposite result. I get why that seems right, but on 7900 XTX the bottleneck felt elsewhere. Worth testing the simpler explanation before adopting the more interesting one.
learning in public
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Need a little more detail here. Is this local-only or are you routing anything externally?
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My first guess would be this: Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at tool calling.
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Thanks, that helps. The pattern around continuous batching has been pretty similar for me. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.
learning in public
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Quote:Thanks, that helps. The pattern around continuous batching has been pretty similar for me. I got better results once I stopped chasing one metric and
I'd start with the simpler stack.
post logs or it didn't happen