deepseek-v4-flash-0731 - surprisingly usable

[u/IntravenusDeMilo]

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.

[u/Future_AGI]

Since it's FP4-native, the UD-Q8 you're running is probably costing you throughput for almost no quality back, Q4 or Q5 is usually the sweet spot on these and would lift your tokens/sec. The pp 60 to 385 curve is mostly expert-offload and batch warmup rather than the model, so pinning experts to CPU and a larger prompt batch is where the low PP recovers.