09-23-2026, 09:39 AM
Interesting, I hadn't tried that. That matches what I saw on dual 3090.
learning in public
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long context that stayed useful for Llama
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09-23-2026, 09:39 AM
Interesting, I hadn't tried that. That matches what I saw on dual 3090.
learning in public
09-23-2026, 10:24 AM
Did a small comparison this afternoon. On 4090 with vLLM, I saw basically the same behavior. I expected the model choice to matter more than it did.
Apple Silicon • MLX mostly
09-23-2026, 02:40 PM
A couple things I'd check first. On B200, the easiest win is often to back off the aggressive settings and see whether the problem survives. Not glamorous advice, but repeatable baselines save a lot of time.
context windows are not a product strategy
09-23-2026, 03:07 PM
Interesting, I hadn't tried that. The pattern around speculative decoding has been pretty similar for me. The biggest change for me was simplifying the stack instead of adding one more optimization layer.
LoRA tinkerer • dataset janitor
09-23-2026, 11:20 PM
Can you fill in a bit more context? Are you testing this on B200 or something else?
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