this post was submitted on 05 Mar 2025
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QwQ-32B is a 32 billion parameter language model achieves comparable performance to DeepSeek-R1 with 671 billion parameters, using reinforcement learning for scaling (qwenlm.github.io)
submitted 3 days ago* (last edited 3 days ago) by yogthos@lemmygrad.ml to c/technology@lemmygrad.ml
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[–] yogthos@lemmygrad.ml 7 points 3 days ago* (last edited 3 days ago)

can grab it here

I find it absolutely wild how quickly we went from needing a full blown data centre to run models of this scale to being able to run them on a laptop.