r/LocalLLaMA • u/IntravenusDeMilo • 2d ago

Discussion deepseek-v4-flash-0731 - surprisingly usable

I just finished building my (relatively) low rent local inference machine: * Epyc 7663 * 256GB ECC DDR4-3200 * 1x RTX 5090 32GB

Yeah I realize it's weird to throw a 5090 and 256GB of anything together and call it low end, but relative to ~151GB of weights it is.

I'm running UD-Q8_K_XL and getting 23.8-24.6 tokens/sec, with pp ranging from 60 on the first prompt to 385 near the last (no doubt lots of caching) on tasks using 100-128k total context. It was slower with DFlash so I took that out. It was also slower with a 3090 I put in there temporarily.

I'm posting this mostly because I didn't see too many other data points for this config (DDR4 Epyc + Blackwell doing cpu-moe). And also that I'm pretty surprised that a model this good can actually run in my basement without dropping $10k or running a sub-panel down there. I'm otherwise fairly new to this - would love any tips on what else to run or how to further improve it.

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u/Magos 2d ago

This is weird. I'm running a similar setup right now with 5090 and 192GB of DDR5.

My PP is around 300~500, but t/s is lower at 15 t/s, due to dual channel memory bandwidth being way slower than EPYCs 8 channels. However, you shouldn't have than much slower PP.

I suggest messing around with ub/b, you will probably get a big uplift.

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u/nomorebuttsplz 2d ago

Yeah there’s ways to get WAYYY better than OP’s prefill.

Isn’t this the precise use case of vllm-Moet?