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najarvg 4 hours ago

Thanks for sharing the link to your instance. Was blazing fast in responding. Tried throwing a few things at it with the following results: 1. Generating an R script to take a city and country name and finding it's lat/long and mapping it using ggmaps. Generated a pretty decent script (could be more optimal but impressive for the model size) with warnings about using geojson if possible 2. Generate a latex script to display the gaussian integral equation - generated a (I think) non-standard version using probability distribution functions instead of the general version but still give it points for that. Gave explanations of the formula, parameters as well as instructions on how to compile the script using BASH etc 3. Generate a latex script to display the euler identity equation - this one it nailed.

Strongly agree that the knowledge density is impressive for the being a 1-bit model with such a small size and blazing fast response

jjcm 3 hours ago | parent | next [-]

> Was blazing fast in responding.

I should note this is running on an RTX 6000 pro, so it's probably at the max speed you'll get for "consumer" hardware.

abrookewood an hour ago | parent | next [-]

Holy hell ... that's a monster of a card

ineedasername an hour ago | parent | prev [-]

consumer hardware?

That... pft. Nevermind, I'm just jealous

jjcm an hour ago | parent [-]

Look it was my present to myself after the Figma IPO (worked there 5 years). If you want to feel less jealous, look at the stock price since then.

najarvg 3 hours ago | parent | prev [-]

I must add that I also tried out the standard "should I walk or drive to the carwash 100 meters away for washing the car" and it made usual error or suggesting a walk given the distance and health reasons etc. But then this does not claim to be a reasoning model and I did not expect, in the remotest case, for this to be answered correctly. Ever previous generation larger reasoning models struggle with this

jjcm 3 hours ago | parent [-]

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