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recipes for a good local stack with TensorRT-LLM
#1
Posting this in case it saves someone else a little time.

I'm helping a small team set up a local workflow. We don't need a giant stack, but we do care about continuous batching.

I'm especially interested in mistakes worth avoiding.
M3 Max • MLX • local-first
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#2
same here on my side.
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#3
A couple things I'd check first. If you're on Ollama, I'd confirm the version first and then reduce variables until the behavior is obvious. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
7900 XTX / ROCm / somehow still optimistic
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#4
Quote:A couple things I'd check first. If you're on Ollama, I'd confirm the version first and then reduce variables until the behavior is obvious. A lot of

Ran a quick check on my box. I couldn't reproduce the slowdown until I pushed context much higher.
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#5
subscribed, curious where this lands.
small models can still be good
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#6
Quote:subscribed, curious where this lands.

Appreciate the detail. The pattern around VRAM headroom 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.
measure twice, benchmark three times
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