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model fallback rules that work - 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: Recipes & Configurations (https://www.datasculpting.ai/inference/forumdisplay.php?fid=52) +---- Thread: model fallback rules that work (/showthread.php?tid=654) Pages:
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Re: model fallback rules that work - ggufvault - 10-11-2026 Good point. I ended up in about the same place using LM Studio. The biggest change for me was simplifying the stack instead of adding one more optimization layer. Re: model fallback rules that work - homelabhenry - 10-13-2026 Quote:Good point. I ended up in about the same place using LM Studio. The biggest change for me was simplifying the stack instead of adding one more optimiz I don't think that's the whole story. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model. Could be a workload difference, but I wouldn't generalize too fast from one setup. Re: model fallback rules that work - papermixer4 - 10-14-2026 My first guess would be this: If you're on MLX, I'd confirm the version first and then reduce variables until the behavior is obvious. |