What kind of token rate do you get if you try to run them in swap space?
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SabinStargem@lemmy.today 3 days agoDunno, as of yet. I am very picky, and my roleplaying sessions with AI hasn’t gone on long enough.
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It requires significant hardware to use local AI, and Qwen 3.6 at 35b isn’t quite good enough to understand the lore and characters. Odds are that once I have added VRAM & RAM to my PC, I can run a big enough model to have enough quality to feel good for me.
Unfortunately, I will likely have to wait for America’s AI bubble to have popped, before I can afford enough RDIMM RAM to run Kimi and other large Euro-Chinese open models. I probably won’t ever use American anymore, as their closed models have too many guardrails and likely would align with the Trump Regime in the coming years.
CanadaPlus@lemmy.sdf.org 3 days ago
SabinStargem@lemmy.today 3 days ago
Never tried that. I worry about the damage and lifespan reduction that could cause to my SSD drives. If we go vanilla, I get the following performance on my PC:
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Generating (2562 / 8192 tokens) (EOS token triggered! ID:248046) [11:17:40] CtxLimit:2656/32768, Init:0.10s, Processed:94 in 0.83s (113.12T/s), Generated:2562/8192 in 47.51s (53.92T/s), Total:48.44s
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This is via the KoboldCPP backend. Things are much faster than they used to be, a year ago this would have taken at least 10 minutes. This is a 35b MOE model.
Specs-wise, my machine is…
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7965WX - STR5 workstation CPU
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32gb of RDIMM DDR5 5600
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RTX 4090
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Within a few weeks, I will have the machine worked on to fix a teething issue and to add at least a second GPU. My machine has device enumeration issues, which I believe to be caused by the PCIe SATA card. I am figuring that eliminating all non-motherboard SATA devices from the build will end the issue that I am having.
In this case, the computer can have 20+ minute boots, with bootloops or getting stuck. This only happens with booting, Windows is just fine. I consulted with my local AI about the patterns and error messages I was seeing, we eventually homed in on likely points of contention for the system.
This also lines up a prior experience with a SATA card some 15ish years ago. Silly me for expecting a modern SATA card to not suck.
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Sabata11792@ani.social 3 days ago
If you’re coding up a custom system, Try adding a 9b model that dose RAG searches with chromadb and outputs a memory summary that feeds into the main models context window. You can ingest old messages, web pages, character info, or whatever text. Qwen 3.6 35b is the first local model I ran that seems to be good enough to be useful if it has some infrastructure around it, and smart enough to not die on a tool call(usually).
Add in DDGS search and a web page scrape tool that adds to the RAG system, let it loop a few times and its actually quite useful, even if it takes 5-10 minutes to get an output. After that it’s all tweaking what is and isn’t in in context.
Also, try not to go too insane.