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Did a bit of testing and thought I'd post the result here.
Short version: SGLang behaved well for me, but only after I stopped ignoring tool calling.
Happy to post more details if anyone wants them.
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Ran a quick check on my box. I couldn't reproduce the slowdown until I pushed context much higher. The main thing that moved was latency, not quality.
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That matches what I was seeing. I ended up in about the same place using MLX. The biggest change for me was simplifying the stack instead of adding one more optimization layer.
curious and caffeinated
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That matches what I was seeing. That matches what I saw on dual 3090. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.
small models can still be good
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Ran a quick check on my box. I couldn't reproduce the slowdown until I pushed context much higher. The surprise was that memory pressure showed up before throughput collapsed.
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I'd start with the simpler stack.
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What exact setup are you running? What model, what runtime, and roughly what context size?