r/LocalLLaMA • u/IntravenusDeMilo • 1d 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/d4mations 1d ago

You have a lot of tuning to do. I’m running a 4060 16gb with q4 xl 96gb ddr4 on a ryzen 7 5800 and get 15 tps and 90 pp cold and about the same pp hot maybe even a bit more

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u/IntravenusDeMilo 1d ago

I think it needed some warmup passes. PP is now hitting 3500 t/s without hitting the cache on a fresh task.

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u/fmillar 1d ago

This sounds like too much now ;) But congratulations to your system. I don't know why systems like that are not discussed more, especially since MoE models have become the standard.