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 4 days ago* (last edited 4 days ago) by [email protected] to c/[email protected]
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[–] [email protected] 7 points 4 days ago* (last edited 4 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.