mrq 0db3203b21 added LLaMA/Mixtral (if experts>1) model arches, utilize XMoE's loss as well, set MoE frequency to 1 to make every layer MoE'd for RetNet, etc. (going to do tests without burning out again to see how things go)		2023-12-22 19:27:36 -06:00
..
emb	added sampling by speaker group name (might be better to de-emphasize the LibriVox/Audiobooks that are in large numbers, and emphasize the smaller pools), log cleanup	2023-10-16 19:30:38 -05:00
engines	added torchscale XMOE integration (because Mixtral 8x7B seems very promising and I want to see if it works)	2023-12-20 18:45:58 -06:00
models	added LLaMA/Mixtral (if experts>1) model arches, utilize XMoE's loss as well, set MoE frequency to 1 to make every layer MoE'd for RetNet, etc. (going to do tests without burning out again to see how things go)	2023-12-22 19:27:36 -06:00
utils	added torchscale XMOE integration (because Mixtral 8x7B seems very promising and I want to see if it works)	2023-12-20 18:45:58 -06:00
__init__.py
__main__.py	exposed rolling resp context to the web UI, added passing in language to inferencing command line	2023-10-12 23:21:01 -05:00
config.py	added torchscale XMOE integration (because Mixtral 8x7B seems very promising and I want to see if it works)	2023-12-20 18:45:58 -06:00
data.py	added torchscale XMOE integration (because Mixtral 8x7B seems very promising and I want to see if it works)	2023-12-20 18:45:58 -06:00
export.py
inference.py	exposed rolling resp context to the web UI, added passing in language to inferencing command line	2023-10-12 23:21:01 -05:00
plot.py
samplers.py
train.py	evaluation/validation passes language ID during training (oops)	2023-10-29 12:00:40 -05:00
webui.py	added torchscale XMOE integration (because Mixtral 8x7B seems very promising and I want to see if it works)	2023-12-20 18:45:58 -06:00