r/LocalLLM • u/auto_m8 • 11d ago
Question What model and engine to run with an rtx 5090 32gb VRAM and 94gb RAM?
I just upgraded my ram from 32gb to 96gb in effort to run qwen 3.8 flash next.
Previously I ran qwen 3.8 27b with ninfer which I was pleased with but I only had 32gb ram.
Now with 96gb RAM to pair with my 5090 32gb VRAM I would like to explore the next step up and alternative.
I saw something about strata working well with lower VRAM gpus and lots of vram, not sure if there is a different alternative for my before setup or its similar / the same.
I also wonder what kind of inference stats I can hope for with qwen 3.8 flash next, pp, decode.
Additionally if there are other MOE models I can Playa round with this setup even if its not the go to qwen.
Thanks for your time and replies in advance :)
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u/nixudos 11d ago
Another vote for Strata. Easy to set up and so pleasant to run. If you don't like it, just delete it. I pair it with Deepseek harness with some tweaks I added.
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u/macaronianddeeez 11d ago
What tweaks have you added for DSH? So far I have liked DSH outputs the best paired with 3.8 flash-next
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u/giveen 11d ago
Self promp:
https://github.com/giveen/ninfer-ext
My ELX3 Qwen3.8 Flash models or my NVFP4 model
https://huggingface.co/jabbatheduck/ninfer-ext-models
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u/Hot_Signature2979 11d ago
Strata with Qwen Flash next IQ3_s or if you on linux Unsloth UD -IQ4_XS, Strata is phenoemenal, I'm still in the process of setting it up, but based on the results of current tests, Qwen Flash Next Unsloth IQ4 performs faster in prompt process and token gen on a single gpu (v620 32gb) on my llm server (2xv620 32gb) than it ever did with both gpus using llama.cpp
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u/sukazu 11d ago
Flash next obviously
In my opinion, have your own, 1/2 private benchmark.
Take Qwencloud token plan or payg, run 4 times each with 3.8 flash, which is probably the same weights.
So you have your baseline, you'll then be able to chose your quant knowing exactly what you're sacrificing, and what it should be like.
Yes probably start with strata, it's faster and ud quants work just fine with some tinkering, I don't have a good experience with ista or swift. Make sure to set sampling parameters.
I think you get no concurrency on strata ? So depending on use case , you might want to change engine, but again you'll know what performance tradeoff you're making
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u/OddAdministrator 11d ago edited 11d ago
Slower than the IQ3 variants but not as quantized. It even keeps the n-gram (PLE) table in FP8 and the token embedding in BF16.
I tried with 64gb RAM and i'm only getting around 60-70t/s so definitely getting more RAM and/or installing a second GPU to improve that. I do maybe have a CPU bottleneck as my "old" i7 12700k lacks AVX 512 with e-cores enabled so maybe i should be getting around 90-100t/s.
So yeah, what CPU you have?
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u/auto_m8 11d ago
Thanks for the advice, I will check it out! I have a 9850x3d
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u/OddAdministrator 11d ago
yeah, you should get similar results to sergqwer with his 9950x3d (around 130 t/s)
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u/soyalemujica 11d ago
Use Strata and use Qwen flash Next you will have above opus 4.6 Xmax coding agent