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flux pipeline local tips for Gemma - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Evaluation & Testing (https://www.datasculpting.ai/inference/forumdisplay.php?fid=16) +--- Forum: Model Comparisons (https://www.datasculpting.ai/inference/forumdisplay.php?fid=67) +--- Thread: flux pipeline local tips for Gemma (/showthread.php?tid=17) |
flux pipeline local tips for Gemma - bytelab - 08-23-2026 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 speculative decoding. I'm especially interested in mistakes worth avoiding. For context, I'm not chasing leaderboard numbers. I mostly want the system to feel consistent day to day. Re: flux pipeline local tips for Gemma - phaseshed - 08-23-2026 I tested this tonight. On 4090 with LM Studio, I saw basically the same behavior. Re: flux pipeline local tips for Gemma - signaltrack44 - 08-25-2026 Appreciate the detail. I don't think your conclusion is far off. The biggest change for me was simplifying the stack instead of adding one more optimization layer. Re: flux pipeline local tips for Gemma - vramforge - 08-25-2026 Quote:Appreciate the detail. I don't think your conclusion is far off. The biggest change for me was simplifying the stack instead of adding one more optimi worth checking the driver first. Re: flux pipeline local tips for Gemma - cudacrate - 08-25-2026 Thanks, that helps. That matches what I saw on A6000. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable. Re: flux pipeline local tips for Gemma - vectorhouse71 - 08-25-2026 That matches what I was seeing. I ended up in about the same place using MLX. The biggest change for me was simplifying the stack instead of adding one more optimization layer. Re: flux pipeline local tips for Gemma - benchplease - 08-26-2026 Quote:That matches what I was seeing. I ended up in about the same place using MLX. The biggest change for me was simplifying the stack instead of adding on Ran a quick check on my box. On dual 3090 with TensorRT-LLM, I saw basically the same behavior. Re: flux pipeline local tips for Gemma - turboscope5 - 08-27-2026 What worked for me was pretty simple. If you're on vLLM, I'd confirm the version first and then reduce variables until the behavior is obvious. Not glamorous advice, but repeatable baselines save a lot of time. |