Mimir: A Sub-2B Hierarchical Reasoning Model Trained on Permissible Data Punches Above Its Weight Class
arXiv:2608.13517v3 Announce Type: replace-cross Abstract: Training capable language models typically relies on web-scale pretraining followed by multi-stage post-training, creating substantial computational and data-governance barriers for settings…
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ImpactNotable 31/100
Why it mattersnimble: medium (p 0.42)
RegionsGlobal
Published4 h ago (Fri, 23 Oct 2026 04:00:00 GMT)
RetrievedFri, 23 Oct 2026 04:00:25 GMT via rss
ClassifiedFri, 23 Oct 2026 04:06:58 GMT by nimble
AuthorPeter Schneider-Kamp, Jacob Nielsen, Gianluca Barmina, Danial Namazifard, Annemette Brok Pirchert, Kenneth Enevoldsen…