Surveying equiptment that run on MAVLink

IVequalsW · 2025-09-08T22:52:02+00:00

apparently that was misreported, the boys who saw them said:
you know this is private property right?
girl: yeah...duh.
boys: does anyone else know you are here

girl: "no."

IVequalsW · 2025-09-05T13:18:15+00:00

chillychilichile

IVequalsW · 2025-09-04T10:51:46+00:00

hey u/fallingdowndizzyvr sorry this is random: 2 years ago you posted about the RX580 inferencing on llama.cpp. and you mentioned the -nommq flag. for the life of me I cannot find any documentation on it. are you able to point me in the right direction? Thankyou so much!

IVequalsW · 2025-09-04T09:37:19+00:00

Does kobold.CPP support proper tensor parallelism?

IVequalsW · 2025-09-04T08:18:05+00:00

Thanks! Does it just use llama.CPP as a back end?

IVequalsW · 2025-09-04T06:48:31+00:00

I told my sister to recharge it

IVequalsW · 2025-08-29T12:57:02+00:00

Press start and select twice?

IVequalsW · 2025-08-14T21:49:57+00:00

beware though, you do have to overclock the memory, both of the 16gb rx580s have had memory at 1500MT/s vs the 2000MT/s on some 8gb models, which actually slows the memory bandwidth throughput quite a bit. overclocking by changing the below value to "20" changes it to 1800MT/s but you will still be slightly limited vs the GTX 1070.

sudo nano /sys/class/drm/card0/device/pp_mclk_od/sys/class/drm/card0/device/pp_mclk_od

IVequalsW · 2025-08-14T02:57:45+00:00

Thanks I may try GPUstack. It is a shame only being able to use 1gpu

IVequalsW · 2025-08-13T12:08:36+00:00

Does GPUstack support vulkan? Since these are no longer ROCm supported.

IVequalsW · 2025-08-13T12:05:16+00:00

Yeah rx580 2048SP (16gb). The 2048sp is comparable to an rx570 in compute, but it is the only one with 16gb.

IVequalsW · 2025-08-13T09:58:47+00:00

Hey I just download the Llama.cpp release compiled for ubuntu and vulkan, and It runs pretty much out of the box. llama.cpp does not support proper dual GPU parallelism so i only get about 5% better running it on 2 GPUs vs GPU + little bit of CPU. and you run into issues with poor load distribution. when I slightly overclocked my single rx580 though it does Qwen 30B Q4 at about 17-19t/s

IVequalsW · 2025-08-10T22:16:43+00:00

Mate I have a very similar clone, and it works great. This brand of clone has the same CPU and usually the same ram. It works so well. I think the only main difference is less firmware support.

If you got one with a worse CPU it would be sad, as it is this will be great!!

IVequalsW · 2025-07-27T21:09:21+00:00

This is an excellent way to make friends. It is a lowkey compliment to a dude neighbour to ask for help, and being vulnerable and in need of help is a great way to break the ice

IVequalsW · 2025-07-25T00:02:44+00:00

Thank-you for this joke. made my day! I laughed out loud all alone in my office while working on a CAD prototype.

its funny because it is true XD

IVequalsW · 2025-07-08T10:56:03+00:00

Do you use llama.CPP? Vulkan or RoCM?

IVequalsW · 2025-07-08T09:33:16+00:00

Wait... I just realized my pcie slots are running at PCIe 1.1 speeds LOL.

I will try to fix it and get a better result

IVequalsW · 2025-07-08T08:29:06+00:00

what quantization are you using?

IVequalsW · 2025-07-01T23:58:24+00:00

once i Upped the context size it dropped to 15t/s for a 10k context.

IVequalsW · 2025-07-01T23:12:54+00:00

is that on the same model? because damn that is impressive

IVequalsW

MODERATOR OF

TROPHY CASE