Rotor (@RotorDev) header
Rotor (@RotorDev) profile picture

lame computer engineer undergraduate messing with local llms

Texas
Joined April 2026
Photo by Rotor (@RotorDev)Photo by Rotor (@RotorDev)Photo by Rotor (@RotorDev)Photo by Rotor (@RotorDev)Photo by Rotor (@RotorDev)Photo by Rotor (@RotorDev)Photo by Rotor (@RotorDev)Photo by Rotor (@RotorDev)Photo by Rotor (@RotorDev)Photo by Rotor (@RotorDev)
im starting to think qwen4 isn't releasing today
1
1
255
E = mc² + AI 🔥🔥🔥
Engrams + Decision Models + In-weights programming = 👀👀👀
1
23
doesn't seem to be my imagination, though i am not so sure what exactly is causing the decode speeds to get much slower
having some token speed generation regression with the newest strata updates with my rx6800 + v620, anyone else having the same issues?
9
having some token speed generation regression with the newest strata updates with my rx6800 + v620, anyone else having the same issues?
1
1
41
Old DDR3 Xeons are supposed to be e-waste for local AI. 75 tok/s. Qwen 3.8 Flash Next, a 180B model, answering after a 172K-token prompt. The box: two Xeon E5-2670 v2 with no AVX2, 64 GB of DDR3, PCIe 2.0. And 2x CMP 50HX mining cards, memory-modded from 10 GB to 20 GB each. On 1 October Strata refused any CPU without AVX2. On 4 October it ran them. xrip measured this box on his own build of Strata 0.2.0: 65.5 tok/s by default, 75.1 with 19 CPU workers, six runs. Why it works: 98% of the experts sit on the 2x mining cards. The old CPU computes the other 2%. Which old Xeons run it, and the October fight that got Strata there: Issue 2 of The Local LLM Sizing Guide, out tomorrow. vramcalculator.com/sizing-gu…
2
16
re ranking open models to be lower is a good thing because they're absolutely not getting close to opus 5.5 levels and means that there's no reason to restrict them ;)
Artificial Analysis v4.3.2 to v5, AI models re-ranking step by step.
1
1
11
i mean yeah it's understandable when the leds are going to be in the inside of the case where they won't be seen lol
Astra gigabit network switch. They're frying me in the OpenAI Instagram Reels comment section so here's the X dot com the everything app exclusive content. ♥️
1
1
45
agi has definitely arrived
10
im trying man
Run our ISTA DASLab GSQ-RCO quants of Deepseek-V4.1-Flash on your hardware.
1
25
new strata update
22
deepseek v4.1 speeds in opencode are so bad
19
why don't they just run large models on their own hardware to improve the ecosystem
China actually has plenty of homegrown inference GPUs, but prices haven’t dropped as expected—and they’re still not great for local LLMs. Literally one big reason: no CUDA. Without the ecosystem—PyTorch, kernels, quants, llama.cpp/Strata support—local LLM tinkering gets way harder.
1
9
1 message and my usage is done for
Kimi K3.1 Pro is now available in OpenCode Go
1
24
has anyone had experience running really small models? I was able to get Mellum2.1-12B-A2.5B (Q4_0) running on my orange pi zero 3w but I reached a limit at 6.4-6.8tk/s. The small bonsai models weren't any better at 2.88tk/s.
23
seems like i was ahead of the curve
mandatory horse
12
"Omarchy" on my motorola droid 4 #Omarchy
26
I dont think having a model generate a sakura pagoda garden is the best bench to demonstrate that it is a good model
21
making my own lapis one (jk, just got really inspired by it) @pamir_ai
1
26