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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 long context decides everything downstream.
Curious whether that lines up with what other people are seeing. The logs were somehow calmer than I was.
2x3090 • llama.cpp • too much VRAM is still not enough
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Good point. 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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That matches what I was seeing. That matches what I saw on 5090. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.
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Appreciate the detail. I ended up in about the same place using Ollama. The biggest change for me was simplifying the stack instead of adding one more optimization layer.
There are a few different conversations hiding inside this thread, so being explicit about the goal helps.
curious and caffeinated
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A couple things I'd check first. 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.
There are a few different conversations hiding inside this thread, so being explicit about the goal helps.
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What worked for me was pretty simple. If you're on LM Studio, I'd confirm the version first and then reduce variables until the behavior is obvious. Once you know the plain path works, then add the faster path back in piece by piece. At this point the real bottleneck is my patience.
2x3090 • llama.cpp • too much VRAM is still not enough
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that fixed it for me too.
trying not to rebuild again
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following this because I'm in the same boat.
2x3090 • llama.cpp • too much VRAM is still not enough
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I'd approach it in a boring order. Before rebuilding anything, I'd test one clean baseline with Qwen and compare from there. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
