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draft model choices for Phi - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Optimization & Performance (https://www.datasculpting.ai/inference/forumdisplay.php?fid=10) +--- Forum: Context / KV Cache (https://www.datasculpting.ai/inference/forumdisplay.php?fid=41) +--- Thread: draft model choices for Phi (/showthread.php?tid=182) Pages:
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draft model choices for Phi - cacheline - 09-09-2026 Thought I'd post a small recipe because a lot of threads ask similar things. This isn't revolutionary, but the combination of LM Studio and 5090 felt surprisingly usable once I tuned around quant drift. If someone wants the exact settings I can clean them up and post them. Re: draft model choices for Phi - fastfield4 - 09-11-2026 Quote:Thought I'd post a small recipe because a lot of threads ask similar things. Tried to reproduce it just now. On 5090 with SGLang, I saw basically the same behavior. I expected the model choice to matter more than it did. I'm happy to test one more variant if you want a second data point. Re: draft model choices for Phi - cacheline - 09-11-2026 Good point. I ended up in about the same place using vLLM. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable. Re: draft model choices for Phi - vramarch - 09-11-2026 That matches what I was seeing. 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: draft model choices for Phi - cacheline - 09-12-2026 A couple questions before I guess too hard. Is this local-only or are you routing anything externally? Re: draft model choices for Phi - cobaltworks25 - 09-12-2026 subscribed, curious where this lands. Re: draft model choices for Phi - cacheline - 09-12-2026 Can you fill in a bit more context? Do you see the same thing with a smaller batch or shorter prompt? Re: draft model choices for Phi - promptpoint - 09-15-2026 My first guess would be this: Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at KV cache pressure. Once you know the plain path works, then add the faster path back in piece by piece. Re: draft model choices for Phi - amberrunner - 09-15-2026 Ran a quick check on my box. My result was mixed: first run looked bad, second run looked normal. The main thing that moved was latency, not quality. Re: draft model choices for Phi - cacheline - 09-18-2026 A couple things I'd check first. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at HBM constraints. Not glamorous advice, but repeatable baselines save a lot of time. |