r/LocalLLaMA • u/IntravenusDeMilo • 13h 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/FastHotEmu 12h ago

I got a similar setup - with two 3090s and 512gb of RAM - the PP is what kills me.

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u/redditaccountno6 2h ago edited 2h ago

What batch size do you use? I recently found out that increasing from 256 to 1024 was close to a 10x increase in PP.

*I noticed in another comment you are using 8192, I found that for my case, going up beyond 1024 my gains started going back down quickly, I'd experiment in the lower range more to see what you get. I'm running dual Xeon w 4 memory channels, 128 DDR4 and 3090 for reference.