AETHORIA AI
Open, efficient AI research
Community-led research into compact language models, token-identity hash routing, multimodal generation and accessible training systems.
Featured project
TR-HASH MoE 200M — Full SFT
Released full-parameter assistant checkpoint trained for three epochs on the audited 300K-example SFT v2 mixture, from the approximately 162B source-token lineage.
201.2M parameters
300K SFT examples
Full-parameter SFT
Released
Vision research
TR-HASH Vision v8
MoE-based hierarchical vision transformer, initialized randomly and trained end-to-end on COCO 2017 at 640 px, without external detector, classification backbone or pretrained weights. 50 epochs of pretraining, then 12 epochs of supervised refinement.
2.59M parameters
COCO from scratch
mAP50 32.5%
mAP50-95 20.05%