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Check out the documentation for more information.
Z-Image data-mix (DMX1004) and gpt-image-2.5 checkpoints
Runs of zimg-datamix-ft2i-20261004: every checkpoint (including intermediates) of every run trained on the gpt-image-2.5 regeneration of BLIP3o-60k (gi25 line, gi25_real11 = gpt-image-2.5 + Fine-T2I real photos 1:1, its FJDP3_F posts, P100K and P100KX5 arms), and the final checkpoint of the other runs (BLIP3o, mixed, mixed_gk). Data: dataset repos Isaacwang/blip3o-60k-gpt-image-2.5 and Isaacwang/zimg-fdloss-gb300-data.
Layout
Paths equal the paths under /netapp/moonlake/users/xiaoyuan/test on the original GB300 cluster, so
hf download <this repo> --local-dir $NETAPP_TEST restores every file where the training / evaluation code expects it
(add --include '<campaign>/*' for a subset). Each run directory carries its small files (checkpoint.json, train
logs, receipts) next to models/step_<k>.pt. Code, results docs and the full restore procedure:
GitHub Xiaoyuan-Isaac-Wang/DroPE-Forcing (private), branch reinstall-recovery-20261102, docs/REINSTALL_RECOVERY_20261102.md.