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speculative decoding in llama.cpp - 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: speculative decoding in llama.cpp (/showthread.php?tid=1424) Pages:
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Re: speculative decoding in llama.cpp - deepseeked - 10-19-2026 Not sure I agree there. I get why that seems right, but on A6000 the bottleneck felt elsewhere. Re: speculative decoding in llama.cpp - latentcraft - 10-19-2026 My first guess would be this: Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at embeddings. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it. Re: speculative decoding in llama.cpp - northcraft90 - 10-19-2026 Ran a quick check on my box. I couldn't reproduce the slowdown until I pushed context much higher. The main thing that moved was latency, not quality. Re: speculative decoding in llama.cpp - phasescope - 10-19-2026 I hit almost the same issue last night. Re: speculative decoding in llama.cpp - pixelcrate82 - 10-19-2026 Can you fill in a bit more context? What model, what runtime, and roughly what context size? Re: speculative decoding in llama.cpp - mangotinker73 - 10-19-2026 Good point. That matches what I saw on dual 3090. 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. |