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best local open-weight model this week - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: LLM Models (https://www.datasculpting.ai/inference/forumdisplay.php?fid=12) +--- Forum: Proprietary / Frontier (https://www.datasculpting.ai/inference/forumdisplay.php?fid=48) +--- Thread: best local open-weight model this week (/showthread.php?tid=965) Pages:
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best local open-weight model this week - tensorport - 10-09-2026 This keeps coming up in conversation so I figured I'd start a thread. The more I work with local setups, the more it seems like tail latency decides everything downstream. Curious whether that lines up with what other people are seeing. Re: best local open-weight model this week - benchplease - 10-09-2026 What exact setup are you running? Is this local-only or are you routing anything externally? Re: best local open-weight model this week - sanescope - 10-10-2026 Quote:What exact setup are you running? Is this local-only or are you routing anything externally? Appreciate the detail. I don't think your conclusion is far off. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing. Re: best local open-weight model this week - tensorfield88 - 10-10-2026 Ran a quick check on my box. On 7900 XTX with PyTorch, I saw basically the same behavior. Re: best local open-weight model this week - griffinloom66 - 10-10-2026 I'd start with the simpler stack. Re: best local open-weight model this week - oxidestream - 10-10-2026 I hit almost the same issue last night. Re: best local open-weight model this week - emberquill - 10-10-2026 My first guess would be this: Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at tail latency. Re: best local open-weight model this week - oxidemixer - 10-10-2026 I'd start with the simpler stack. Re: best local open-weight model this week - tensorfield88 - 10-10-2026 Appreciate the detail. I don't think your conclusion is far off. Re: best local open-weight model this week - plainline - 10-11-2026 What worked for me was pretty simple. Before rebuilding anything, I'd test one clean baseline with Mistral and compare from there. Not glamorous advice, but repeatable baselines save a lot of time. |