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best small quant that still feels smart - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Optimization & Performance (https://www.datasculpting.ai/inference/forumdisplay.php?fid=10) +--- Forum: Quantization (https://www.datasculpting.ai/inference/forumdisplay.php?fid=40) +--- Thread: best small quant that still feels smart (/showthread.php?tid=211) Pages:
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Re: best small quant that still feels smart - cacheworks - 09-14-2026 Thanks, that helps. That matches what I saw on Threadripper box. The biggest change for me was simplifying the stack instead of adding one more optimization layer. Re: best small quant that still feels smart - vrambandit - 09-14-2026 What exact setup are you running? Are you testing this on 5090 or something else? Re: best small quant that still feels smart - turboscope - 09-14-2026 Thanks, that helps. That matches what I saw on 5090. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing. Re: best small quant that still feels smart - southtinker - 09-14-2026 What exact setup are you running? What model, what runtime, and roughly what context size? Re: best small quant that still feels smart - vrambandit - 09-15-2026 Quote:What exact setup are you running? What model, what runtime, and roughly what context size? I'd approach it in a boring order. Before rebuilding anything, I'd test one clean baseline with Mixtral and compare from there. Not glamorous advice, but repeatable baselines save a lot of time. Re: best small quant that still feels smart - nanobrook - 09-15-2026 Quote:Quote:What exact setup are you running? What model, what runtime, and roughly what context size? Need a little more detail here. Is this local-only or are you routing anything externally? |