Is llama.cpp meant to be slow at long context, even when you aren't using that context?
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
I am trying out a few fine-tunes of Qwen 3.5 9B @ IQ4_XS @ 131K context and trying to go mostly local (free beats cheap, after all). However, it is much slower than at, say 16K context, even when I am not actually using 131K tokens in the first place. Anyone know why this is? I am using the following command on an 8 GB laptop 4060 (I've tried to set aside ~1GB for the OS and whatnot).
llama serve -hf bartowski/Ornith-1.5-9B-GGUF:IQ4_XS --fit on --cache-type-k q8_0 --cache-type-v q4_1 -c 131072 --temp 0.7
[link] [comments]
More from r/LocalLLaMA
-
The AI race: China's open-weight models trail US closed models by just 7 months
Oct 14
-
Anthropic Executive Says Open-Source AI Models Are Higher Risk
Oct 14
-
ComfyUI v0.40.0 released
Oct 14
-
So this is how they do it --> RTX 5090, once a consumer gaming card, is now on smugglers’ menu alongside cigarettes
Oct 14
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.