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search and retrieval tuning tips with SGLang
#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 VRAM headroom.

Simple and boring is a valid answer.

For context, I'm not chasing leaderboard numbers. I mostly want the system to feel consistent day to day.
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#2
I tested this tonight. The issue went away once I changed one setting and restarted the stack cleanly. I expected the model choice to matter more than it did.
rack in the garage • local models everywhere
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#3
My first guess would be this: Before rebuilding anything, I'd test one clean baseline with Mistral and compare from there. Not glamorous advice, but repeatable baselines save a lot of time.
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#4
subscribed, curious where this lands.
curious and caffeinated
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#5
Quote:subscribed, curious where this lands.

Can you fill in a bit more context? Do you see the same thing with a smaller batch or shorter prompt?
rack in the garage • local models everywhere
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#6
following this because I'm in the same boat.
learning in public
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#7
subscribed, curious where this lands.

If you post your exact settings, people here can probably narrow it down pretty fast.
trying not to rebuild again
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