this post was submitted on 21 Mar 2025
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LocalLLaMA

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Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

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Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.

Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.

Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.

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[–] Tar_alcaran 11 points 2 months ago (1 children)

The demo looks pretty impressive, but it's a prerecorded demo we know nothing about. SO many AI companies have been lying about their benchmarks.

[–] [email protected] 1 points 2 months ago

Apparently they have code. I haven’t tried it yet though.

[–] [email protected] 6 points 2 months ago (1 children)

Looks impressive and it's truly open-source.

However, I see it requires CUDA. Could it run anyway:

  1. Without this?
  2. With AMD hardware?
  3. On mobile (as the model is only 1B) ?
[–] [email protected] 2 points 2 months ago

I think the bigger bottleneck is SLAM, running that is intensive, it wont directly run on video, and SLAM is tough i guess, reading the repo doesn't give any clues of it being able to run on CPU inference.

[–] [email protected] 3 points 2 months ago

Now build a robot / autonomous (remote controlled) car / robo vacuum with that.

[–] [email protected] 3 points 2 months ago

Isn't that basically a variant of photogrametry but enhanced by AI so as to need fewer photos?