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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Lumo 2.0 is out (aussie.zone)

submitted 9 hours ago by SuspiciousCarrot78@aussie.zone to c/localllama@sh.itjust.works

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FYI Lumo 2.0 just dropped and it seems to be comprised of open weight models (GLM 5.2 as the big model, Qwen 3.6 35B as the small, few others to boot)

https://proton.me/support/lumo-privacy

Having played around with it a bit...I dunno. It seems pretty locked down / security theatre heavy / refusals on benign things.

I can't run GLM locally (who can lol) but all things given I dunno how good value for money it is vs other options.

(Security and privacy promises notwithstanding that is - which perhaps, are the whole point with Lumo).

Has anyone used Lumo for any period of time? What quants do they use?

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[–] SuspiciousCarrot78@aussie.zone 0 points 7 hours ago* (last edited 7 hours ago)

I have a strong feeling that lite is Qwen 3.5 27B and Max is GLM 5.2, based on the AAII scores on protons announcement post. 27B thinking is closest to 34 AAII and only GLM hits 51. So as fingerprints go....

But the fact that Lumo won't reveal specifics / inhibits that at system prompt level (despite broad family id being cooked into weights) sort of belies the transparency angle for me. What else is being obfuscated? I can't even uncover what fair use is - how many messages per hour etc

Logical inference then - opacity is driven by profit margin preservation and competitive insulation. If you can't calculate the mark up by query (vs OR) then you might be paying 5-20x mark up.

Sits funny amidst all the privacy and transparency cosplay.

At least they're not building autonomous weapons but treating open weight models as commercial secrets is sorta off putting.