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context size vs speed in GGUF: setup advice - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Inference Engines (https://www.datasculpting.ai/inference/forumdisplay.php?fid=9) +--- Forum: llama.cpp / GGUF (https://www.datasculpting.ai/inference/forumdisplay.php?fid=35) +--- Thread: context size vs speed in GGUF: setup advice (/showthread.php?tid=997) Pages:
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Re: context size vs speed in GGUF: setup advice - northcraft90 - 10-17-2026 What worked for me was pretty simple. Before rebuilding anything, I'd test one clean baseline with Gemma and compare from there. Not glamorous advice, but repeatable baselines save a lot of time. Re: context size vs speed in GGUF: setup advice - batchpeak - 10-17-2026 same here on my side. Re: context size vs speed in GGUF: setup advice - vrambandit - 10-17-2026 I'd start with the simpler stack. Re: context size vs speed in GGUF: setup advice - pixelcrate82 - 10-18-2026 Good point. That matches what I saw on M3 Max. The biggest change for me was simplifying the stack instead of adding one more optimization layer. |