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running local models on a phone with PyTorch - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Edge AI & Gadgets (https://www.datasculpting.ai/inference/forumdisplay.php?fid=21) +--- Forum: Mobile (https://www.datasculpting.ai/inference/forumdisplay.php?fid=73) +--- Thread: running local models on a phone with PyTorch (/showthread.php?tid=1350) Pages:
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running local models on a phone with PyTorch - plainline - 10-16-2026 Posting this in case it saves someone else a little time. I'm helping a small team set up a local workflow. We don't need a giant stack, but we do care about quant drift. Would rather learn from your scars than collect my own all at once. For context, I'm not chasing leaderboard numbers. I mostly want the system to feel consistent day to day. Re: running local models on a phone with PyTorch - sparrowshed - 10-16-2026 What worked for me was pretty simple. Before rebuilding anything, I'd test one clean baseline with FLUX and compare from there. Re: running local models on a phone with PyTorch - relaysupply90 - 10-16-2026 Quote:What worked for me was pretty simple. Before rebuilding anything, I'd test one clean baseline with FLUX and compare from there. Good point. That matches what I saw on GB200. The biggest change for me was simplifying the stack instead of adding one more optimization layer. Re: running local models on a phone with PyTorch - turbosupply83 - 10-18-2026 worth checking the driver first. Re: running local models on a phone with PyTorch - cachebench - 10-18-2026 Did a small comparison this afternoon. The issue went away once I changed one setting and restarted the stack cleanly. I expected the model choice to matter more than it did. Re: running local models on a phone with PyTorch - cudacrate - 10-18-2026 Quote:Did a small comparison this afternoon. The issue went away once I changed one setting and restarted the stack cleanly. I expected the model choice to I hit almost the same issue last night. Re: running local models on a phone with PyTorch - sparrowshed - 10-19-2026 A couple things I'd check first. If you're on Ollama, I'd confirm the version first and then reduce variables until the behavior is obvious. Re: running local models on a phone with PyTorch - fusedriver - 10-19-2026 Appreciate the detail. That matches what I saw on B200. Re: running local models on a phone with PyTorch - sparrowworks88 - 10-19-2026 that fixed it for me too. Re: running local models on a phone with PyTorch - plainline - 10-19-2026 A couple questions before I guess too hard. Do you see the same thing with a smaller batch or shorter prompt? |