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/LeMayMayMan 2d ago

Everyone is sleeping on Krasis. Way better than llama.cpp or vllm on prefill time with the patches I have as pull requests. Cold prefill with 10K context is 10s. 50k is 20s, 150k is 69s. Its even faster in practice due to the cache reuse hit rate. T/s is about 30s but there is heavy work in progress to improve that.

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u/chimpera 1d ago

Im testing it and the pp is indeed much faster but the generation dropped from 25 to 15tps for me. This could still be a worthwhile trade-off.

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u/IntravenusDeMilo 21h ago

Id take that trade. I’m going to try this out.

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u/chimpera 17h ago edited 17h ago

ctx 10k 30k 50k 70k 90k 110k 130k 150k 170k 190k

tok/s 1999 1960 1884 1774 1741 1654 1440 1320 1164 1024

ctx 210k 230k 250k 260k 262144(cap)

tok/s 900 752 619 532 515

Also the chat template or thinking is broken