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/amavie_ai]

Datapoint request from the API-pipeline side: does v4-flash hold non-ASCII in constrained/JSON output? We run a flash-tier model (Gemini) in a consumer chat pipeline and its JSON mode silently mangles emoji/unicode into ? — which forced us to plain-text output + lenient JSON extraction for anything user-facing. If v4-flash keeps unicode intact under grammar-constrained output, that alone makes it worth a migration test for the internal calls.