09-06-2026, 10:01 PM
What worked for me was pretty simple. Before rebuilding anything, I'd test one clean baseline with Mixtral and compare from there.
curious and caffeinated
|
benchmarks that map to real use with vLLM
|
|
09-06-2026, 10:01 PM
What worked for me was pretty simple. Before rebuilding anything, I'd test one clean baseline with Mixtral and compare from there.
curious and caffeinated
09-09-2026, 10:10 PM
A couple things I'd check first. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at speculative decoding. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
throughput matters, but tail latency matters too
09-10-2026, 06:58 AM
Interesting, I hadn't tried that. I don't think your conclusion is far off. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.
There are a few different conversations hiding inside this thread, so being explicit about the goal helps.
09-10-2026, 07:42 AM
Tried to reproduce it just now. On Threadripper box with PyTorch, I saw basically the same behavior. The main thing that moved was latency, not quality.
09-10-2026, 08:55 AM
Quote:Tried to reproduce it just now. On Threadripper box with PyTorch, I saw basically the same behavior. The main thing that moved was latency, not qualit following this because I'm in the same boat.
09-10-2026, 09:51 AM
Maybe, but I had the opposite result. I get why that seems right, but on 4090 the bottleneck felt elsewhere. Worth testing the simpler explanation before adopting the more interesting one.
small models can still be good
|
|
« Next Oldest | Next Newest »
|