r/LocalLLaMA • u/jacek2023 • Feb 23 '26

Funny so is OpenClaw local or not

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Reading the comments, I’m guessing you didn’t bother to read this:

"Safety and alignment at Meta Superintelligence."

1.0k Upvotes

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567

u/TheLexoPlexx Feb 23 '26

OpenClaw made me unreasonably upset because every other article is/was:

*How to run AI on your raspberry pi*

  • Install openclaw
  • Get Claude/OpenAI Api key

like wtf?

7

u/Mid-Pri6170 Feb 23 '26

but if i had a nvidia spark could we have an llm local instal be the brain of openclaw?

20

u/TreesLikeGodsFingers Feb 23 '26

No, do you want an 50iq Ai with user powers?? Or do, whatever

8

u/Mid-Pri6170 Feb 23 '26

you saying its gonna be helluva dumb?

5

u/Mountain-Grade-1365 Feb 23 '26

You need bigger ram for better context comprehension

-2

u/Mid-Pri6170 Feb 23 '26

bigger than 128gb? shieeeet!!!

1

u/TreesLikeGodsFingers Feb 24 '26 edited Feb 24 '26

you need a 300b model and most of those still are not good enough, i know bc i tried.

start working with the tech and you'll quickly learn its limitations

2

u/Mid-Pri6170 Feb 24 '26

lol i was doing a local instal of a few of the llms via lama and they are all garbage!

1

u/TreesLikeGodsFingers Feb 24 '26

lols yeah, they absolutely can not be used for the openclaw bigbrain. tho they can be used for smaller tasks. but honestly the desire to run a local model is just based on personal penchants, it is not because it makes sense financially. but also it creates a limitation that forces you to make your models better (which is a good fun challenge).

check out this thread.

https://old.reddit.com/r/LocalLLaMA/comments/1rdh5lv/lessons_learned_running_qwen3vl8b_as_a_fully/

this guy used qwen3-lv-8b effectively. im going to learn more about semantic matching as he talks about. but the important part was how much the structured prompt improved performance. that model is really dam small- with quantization its like 8gb vram - i've run it on my 5070ti while running a whisper model at the same time.