Hierarchos: Preliminary Findings From a 232M Recurrent Memory-Augmented Assistant Model [P]
Reported by the original publisher: Hierarchos: Preliminary Findings From a 232M Recurrent Memory-Augmented Assistant Model [P]. Analysis and context written by TickrWire.
Researchers released preliminary findings for Hierarchos, a 232M-parameter recurrent memory-augmented language model, detailing its architecture and training results.
Project Release / Research Draft] Hierarchos at 232M Parameters: Preliminary Findings From a Recurrent Memory-Augmented Assistant Model
Technical Report: July 2nd, 2026
Project: Hierarchos / KortexHOS
Authors: Makhi Burroughs / netcat420, Lost Time, and the Hierarchos project team
TL;DR:
We built and trained Hierarchos, an experimental 232M-parameter recurrent, memory-augmented language model
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