10-15-2026, 03:43 AM
following this because I'm in the same boat.
2x3090 • llama.cpp • too much VRAM is still not enough
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speculative decoding in llama.cpp with LM Studio
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10-15-2026, 03:43 AM
following this because I'm in the same boat.
2x3090 • llama.cpp • too much VRAM is still not enough
10-16-2026, 04:19 PM
That matches what I was seeing. That matches what I saw on 7900 XTX. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.
10-17-2026, 12:42 AM
same here on my side.
2x3090 • llama.cpp • too much VRAM is still not enough
10-17-2026, 01:26 PM
Can you fill in a bit more context? Is this local-only or are you routing anything externally?
trying not to rebuild again
10-18-2026, 01:46 PM
Good point. I ended up in about the same place using Ollama. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.
team red, team patient
10-19-2026, 02:30 AM
Quote:Good point. I ended up in about the same place using Ollama. I got better results once I stopped chasing one metric and just looked at whether the wor Tried to reproduce it just now. The issue went away once I changed one setting and restarted the stack cleanly. The main thing that moved was latency, not quality. |
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