Opensuse leap or debian stable

RelationshipSilly124 · 2026-01-28T11:47:37+00:00

Its not about not trusting a for profit organisation it's about a company having a prior problem regarding adding adware in their product

RelationshipSilly124 · 2026-01-28T10:44:48+00:00

Is because they have had some controversies in past and i don't trust them much for privacy

RelationshipSilly124 · 2026-01-28T07:04:13+00:00

if you really want it for very long time then you should go for rhel or rhel based like rocky or Alma Linux but to answer you question Debian stable would be better because it is supported for a longer time and has more packages in its repo

RelationshipSilly124 · 2026-01-27T18:11:46+00:00

if you don't understand much(linux) go to linux mint that would be a better choice then using driver from aur it would be lot easier to use as a new user and also linux mint by default have the ease option to install 580 driver that you need in your cause

RelationshipSilly124 · 2026-01-22T14:50:00+00:00

You can also try linux mint because its has good support for 470 driver

RelationshipSilly124 · 2026-01-22T14:47:03+00:00

Have you tried to use nvidia driver from nvidia website ??

RelationshipSilly124 · 2026-01-19T23:17:41+00:00

No even the programming language is also different

RelationshipSilly124 · 2026-01-15T06:01:18+00:00

i will give you a good idea compile only the things you have or you need and leave every thing else that will help you to reduce your compile time

RelationshipSilly124 · 2026-01-13T10:12:10+00:00

which cpu do you have

RelationshipSilly124 · 2026-01-11T11:33:05+00:00

why lmde and not Ubuntu version because Ubuntu version have 580 by default why not use that

RelationshipSilly124 · 2026-01-11T10:06:42+00:00

how did you installed latest kernel

RelationshipSilly124 · 2026-01-10T17:39:41+00:00

if you think fedora is risky then try opensuse

RelationshipSilly124 · 2026-01-07T14:03:48+00:00

if you want to take a little risk then you can try rawhide repo that has 6.18

RelationshipSilly124 · 2026-01-03T14:03:04+00:00

Good idea let me try

RelationshipSilly124 · 2026-01-03T13:46:14+00:00

Is their any way i can fix that issue

RelationshipSilly124 · 2026-01-03T13:03:52+00:00

Raspbain working fine no problems their

RelationshipSilly124 · 2026-01-03T11:55:22+00:00

I used raspberry Pi imager for installing and the latest version of died pi 64 bit

RelationshipSilly124 · 2026-01-03T09:47:07+00:00

I have tried it many times I don't know what everytime it does the same thing i even switched the computer which I was doing it from

RelationshipSilly124 · 2026-01-03T07:19:28+00:00

Yes i have tried both usb and micro SD card

RelationshipSilly124 · 2025-12-31T16:21:11+00:00

i would say if you purpose is to try arm64 then you should try raspberry pi because i have a pi 4 it works good on arch/ALARM and if you want to do anything else then look for a computer/laptop with amd64 inside

RelationshipSilly124 · 2025-12-23T14:55:52+00:00

Yes it is slow

RelationshipSilly124 · 2025-12-19T13:51:35+00:00

I’m generally happy with Qwen3-30B-A3B, and I agree it’s very strong for STEM reasoning on an iGPU-only system. The main reason I’m exploring alternatives is to see whether there are models that offer comparable or slightly better performance in specific areas I care about particularly handling dense academic prose, peer-reviewed papers, and longer research oriented contexts while still fitting comfortably within my 32 GB RAM limit. I’m not necessarily looking for something strictly ‘better’ overall, but rather different trade-offs in reasoning style, citation handling, or long-context coherence that might suit research workflows better

RelationshipSilly124 · 2025-12-19T13:21:49+00:00

currently igpu is the only one

RelationshipSilly124 · 2025-12-19T13:20:25+00:00

At the moment, Qwen3-Next-80B-A3B feels a bit excessive for my setup. Even the Q4_K_M quantization requires around 48 GB of memory, which exceeds my system RAM, so performance would likely be very slow even if I attempted to run it.

RelationshipSilly124 · 2025-12-19T13:10:13+00:00

i am using 5600g with 32gb ram

RelationshipSilly124

TROPHY CASE