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desktop apps around local AI - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Apps / Utilities / Tools (https://www.datasculpting.ai/inference/forumdisplay.php?fid=18) +--- Forum: Local (https://www.datasculpting.ai/inference/forumdisplay.php?fid=20) +--- Thread: desktop apps around local AI (/showthread.php?tid=351) Pages:
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Re: desktop apps around local AI - mintstation99 - 09-28-2026 Quote:That matches what I was seeing. I ended up in about the same place using LM Studio. The biggest change for me was simplifying the stack instead of add Can you fill in a bit more context? What model, what runtime, and roughly what context size? Re: desktop apps around local AI - batchshed - 09-28-2026 What worked for me was pretty simple. Before rebuilding anything, I'd test one clean baseline with DeepSeek and compare from there. Re: desktop apps around local AI - vectorport - 09-29-2026 Maybe, but I had the opposite result. The reported numbers can look compelling, but in ordinary usage I didn't see the same benefit. Could be a workload difference, but I wouldn't generalize too fast from one setup. Re: desktop apps around local AI - rocmhouse90 - 09-29-2026 Good point. The pattern around VRAM headroom has been pretty similar for me. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable. Re: desktop apps around local AI - vramstream - 09-29-2026 Appreciate the detail. I ended up in about the same place using Ollama. Re: desktop apps around local AI - deltagrid - 09-30-2026 A couple things I'd check first. Before rebuilding anything, I'd test one clean baseline with Qwen and compare from there. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it. At this point the real bottleneck is my patience. |