mrq 9e1989be1b tweaked initial NAR pass's initial token embeddings to use a different value, or osmething		2024-08-03 09:01:37 -05:00
..
arch	mamba2-hf using vasqu/mamba2-torch because it lets me use mamba2 without triton ops (training with my 4xV100s are not happy with mamba2 because of triton)	2024-06-14 19:42:17 -05:00
__init__.py	sanity cleanup: moved experimental features under its own thing	2024-06-30 10:37:33 -05:00
ar_nar.py	fixes, throw an exception when using NAR only model with non-unified position IDs, since for some reason it outputs garbage for the NAR	2024-08-02 22:25:49 -05:00
base.py	tweaked initial NAR pass's initial token embeddings to use a different value, or osmething	2024-08-03 09:01:37 -05:00
experimental.py	added what I think is DRY sampling	2024-07-29 19:15:07 -05:00
lora.py	naive model offloading support (handles automatically splitting parts of the model to requested device per memory constraints, either inferred or requested in the yaml, input tensors are automatically migrated to the right device, it SEEMS to work for training under the test trainer when split between GPU and CPU) (this was specifically only because that Flux imagegen model released so I can test it there)	2024-08-01 20:12:06 -05:00
nar.py	tweaks for the NAR-len model, maybe	2024-08-03 08:40:39 -05:00