this post was submitted on 15 Apr 2025
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LocalLLaMA

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Let's go! Lossless CPU inference

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[–] [email protected] 7 points 2 months ago (2 children)

ELI5 1-bit module. With three attempts, i got nothing out of it, so I assume it's a simpler, more energy efficient model.

[–] [email protected] 5 points 2 months ago* (last edited 2 months ago)

It's a massive performance upgrade, which would make current sized models better and tiny phone-sized models viable. Only problem is that models need to be retrained to use it and afaik, no one significant has done it yet.

[–] [email protected] 4 points 2 months ago* (last edited 2 months ago)

i'm not the smartest out there to explain it but it's like ...instead of floating point numbers as the weights, its just -1,0,1.

[–] [email protected] 4 points 2 months ago (1 children)

This wasn't out? I've been hearing about BitNet for a while, just that there wasn't a good 1-bit model out there.

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

it was, it's just that they have officially released a 2B model trained for the BitNet architecture

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

Nice. Any additional info on how difficult it was to train this and whether we can expect more? They have a 3B model in the demo video, but doesn't seem like they released that... I mean I'd like something a bit larger.