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
..
emb	added experimental entropix sampling support	2024-10-11 21:18:26 -05:00
engines	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
ext	maybe final tweaks, I really needed to unify my json read/write and orjson is proven to be fast enough for me to try and rely on it more	2024-09-17 22:57:04 -05:00
models	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
utils	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
__init__.py
__main__.py	actually ar temp 0.5 with rep pen 1.125 seems to have the benefits of better outputs without it degrading some of the time but not all the time	2024-10-23 00:03:35 -05:00
config.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
data.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
demo.py	actually have beam_width in the webUI work	2024-10-22 22:06:22 -05:00
export.py
inference.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
plot.py	too brainlet to diagnose why low temp / greedy sampling is randomly unstable some of the time	2024-10-22 20:13:54 -05:00
samplers.py	actually have beam_width in the webUI work	2024-10-22 22:06:22 -05:00
train.py	adjusted how i want to pass eval kwargs	2024-10-25 20:38:09 -05:00
webui.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