Model Releases
The curse of 64GB system RAM
Not a bot. Not a Strata shill. Just sharing my experience. So, I have an R9700 in my machine, plus an RTX 5060 Ti, and 64GB DDR5 system RAM. Overall, not a bad setup. Anyway, I mainly run a daily driv
Not a bot. Not a Strata shill. Just sharing my experience. So, I have an R9700 in my machine, plus an RTX 5060 Ti, and 64GB DDR5 system RAM. Overall, not a bad setup. Anyway, I mainly run a daily driver local LLM on the R9700 while running image/video inference on ComfyUI on the 5060 Ti. Mostly shit like Minimax H3 which also takes a fuck-tonne of system RAM. I've been using Qwen3.8-27B at Q6 as the daily driver on the R9700 and running that around 35 t/s, which is fine for me as a daily driver. Before Strata I tried running Qwen3.8-Flash-Next on both cards on vulkan at a IQ4_XS (or whatever that quant is called - the ~93GB one) and that only got me like 15 t/s, which I can't daily drive, so I put it down and wasn't really interested in it. Anyway, Strata comes out and people are claiming QFN is usable on much more modest hardware, so I check it out and see that mostly people are running the IQ3_XXS quant which is like ~70-something gigabtyes, so of course it's faster. Anyway, I benchmarked that quant on llama.cpp first running it just on system ram + the R9700 and it came in at 21 t/s... that's right around the absolute minimum of what I'd accept for a daily driver, but not super compelling tbh. Then I tried the same quant on Strata and I get ~60 t/s. Very fucking compelling. I 100% want to daily drive this now. The problem is with QFN loaded in Strata my system RAM usage is at 96%. I can't fucking run Minimax H3 in ComfyUI on the 5060 Ti because that shit eats a lot of system RAM too. I feel blessed that I can finally run this epic model, and fucking cursed that I have to choose which workload to run! Also, before anyone says 'just upgrade to 128GB of RAM bro'... I know, I know. I would but I can't afford to the jewelry and international trips my wife requests for fairness reasons to balance out all the toys I've bought this year. Crying in 64GB of RAM. submitted by /u/Cautious_Chicken_604 [link] [comments]
Related
- How many people in this sub try to train their own AI from scratch on their systems just for fun and to test out techniques from research papers?
- Experience report - Qwen 3.8 Flash Next on memory rich, GPU poor setup
- Flyweight: open-source C++/CUDA engine for running MoE models bigger than your VRAM on one GPU + system RAM. First PyPI release, looking for contributors.
Source: r/LocalLLaMA | 2026-10-04