Aryan Kumar 5bc3c0902d [feat]: optional Theseus warm-up for the FastH3 QAD method ...

theseus_steps > 0 trains teacher-forced segment reconstruction first, widening
from single blocks to the whole stack (JustQuant, arXiv:2609.33601), then hands off
to the configured objective.

2026-10-30 01:15:45 -07:00

..

consistency_model

[feat] Add Clean-history Teacher Forcing and Causal Consistency Distillation (#1505)

2026-07-07 08:13:11 +00:00

distribution_matching

[feat] Add H3 PDD/DMPDD training and packed Ref2VA preprocessing (#1984)

2026-10-20 11:15:57 -07:00

fine_tuning

[feat] Add end-to-end MMAudio V2A training, inference, and evaluation (#1648)

2026-10-07 04:25:00 -07:00

knowledge_distillation

[feat]: optional Theseus warm-up for the FastH3 QAD method

2026-10-30 01:15:45 -07:00

rl

[feat] Add Clean-history Teacher Forcing and Causal Consistency Distillation (#1505)

2026-07-07 08:13:11 +00:00

trajectory_matching

[feat] Add H3 PDD/DMPDD training and packed Ref2VA preprocessing (#1984)

2026-10-20 11:15:57 -07:00

__init__.py

[feat] Add H3 PDD/DMPDD training and packed Ref2VA preprocessing (#1984)

2026-10-20 11:15:57 -07:00

base.py

[feat] Add H3 PDD/DMPDD training and packed Ref2VA preprocessing (#1984)

2026-10-20 11:15:57 -07:00

trajectory_carry.py

[feat] Add H3 PDD/DMPDD training and packed Ref2VA preprocessing (#1984)

2026-10-20 11:15:57 -07:00