mrq ccf71dc1b6 added option to load from a model state dict directly instead of a yaml (to-do: do this for LoRAs too), automatically download the default model if none is provided		2024-10-25 22:15:15 -05:00
..
arch	made greedy AR sampling viable (and preferable), with caveats (per comment in vall_e.models.ar_nar)	2024-10-18 16:55:00 -05:00
__init__.py	added option to load from a model state dict directly instead of a yaml (to-do: do this for LoRAs too), automatically download the default model if none is provided	2024-10-25 22:15:15 -05:00
ar_nar.py	adjusted how i want to pass eval kwargs	2024-10-25 20:38:09 -05:00
ar.py	added prefixing with silence (was to test something, currently hidden under cfg.experimental=True)	2024-10-18 17:19:52 -05:00
base.py	modified default arguments (ar temp = 0 and rep pen = 1.125 seems to be stable, at least given the few things i tested), do not pass top k/top p/min p to NAR even though technically none of those things should matter when greedy sampling	2024-10-22 18:12:39 -05:00
experimental.py	moved prints to use logger, edited readme (fused_attn doesnt seem stable for training)	2024-08-29 13:27:16 -05:00
lora.py
nar.py	cleaned up unused config flags, allow less strict yaml by pruning missing keys, renamed some dataset configs to be more unified	2024-10-17 17:06:48 -05:00