![]() |
|
recipes for a good local stack - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: LLM Models (https://www.datasculpting.ai/inference/forumdisplay.php?fid=12) +--- Forum: Open Weight (https://www.datasculpting.ai/inference/forumdisplay.php?fid=49) +---- Forum: Local (https://www.datasculpting.ai/inference/forumdisplay.php?fid=51) +---- Thread: recipes for a good local stack (/showthread.php?tid=539) Pages:
1
2
|
recipes for a good local stack - rocmriley - 09-27-2026 Thought I'd post a small recipe because a lot of threads ask similar things. This isn't revolutionary, but the combination of Ollama and mini PC felt surprisingly usable once I tuned around prefill/decode split. Maybe useful as a starting point for newer folks. For context, I'm not chasing leaderboard numbers. I mostly want the system to feel consistent day to day. Re: recipes for a good local stack - mlxgarden - 09-27-2026 Thanks, that helps. I ended up in about the same place using SGLang. Re: recipes for a good local stack - rocmriley - 09-27-2026 I don't think that's the whole story. The reported numbers can look compelling, but in ordinary usage I didn't see the same benefit. Not saying you're wrong, just that I wouldn't lock that in as the lesson yet. Re: recipes for a good local stack - minthall - 09-27-2026 I tested this tonight. I couldn't reproduce the slowdown until I pushed context much higher. Re: recipes for a good local stack - kernelarch - 09-30-2026 Good point. That matches what I saw on mini PC. Re: recipes for a good local stack - mintquill - 10-01-2026 Did a small comparison this afternoon. On A6000 with vLLM, I saw basically the same behavior. I expected the model choice to matter more than it did. Re: recipes for a good local stack - rocmriley - 10-04-2026 Not sure I agree there. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model. Worth testing the simpler explanation before adopting the more interesting one. Re: recipes for a good local stack - cobalttinker - 10-04-2026 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: recipes for a good local stack - rocmriley - 10-04-2026 Tried to reproduce it just now. I couldn't reproduce the slowdown until I pushed context much higher. The surprise was that memory pressure showed up before throughput collapsed. Re: recipes for a good local stack - kernelghost - 10-04-2026 Appreciate the detail. I ended up in about the same place using PyTorch. The biggest change for me was simplifying the stack instead of adding one more optimization layer. |