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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 small local stacks decides everything downstream.
Wondering if this is just where the whole space is heading now.
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That matches what I was seeing. I don't think your conclusion is far off.
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A couple questions before I guess too hard. What model, what runtime, and roughly what context size?
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Did a small comparison this afternoon. The issue went away once I changed one setting and restarted the stack cleanly. The main thing that moved was latency, not quality.
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Interesting, I hadn't tried that. I ended up in about the same place using LM Studio. The biggest change for me was simplifying the stack instead of adding one more optimization layer.
trying not to rebuild again
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I'd approach it in a boring order. Before rebuilding anything, I'd test one clean baseline with DeepSeek and compare from there.
small models can still be good