mrq a47029065b I don't know if the lack of start/stop tokens being added was causing my inference tests to fail, but it seems better now		2023-08-20 19:21:54 -05:00
..
emb	nightmare of spaghetti that might break compat; mechanism to increase RVQ bins of an existing model without retraining, keeps sampled proms/resps at max RVQ level and trim off excess levels according to what model receives them, some other things I already forgot (I really hope no one else has weights being baked right now)	2023-08-19 15:06:33 -05:00
engines	ops	2023-08-20 13:42:18 -05:00
models	nightmare of spaghetti that might break compat; mechanism to increase RVQ bins of an existing model without retraining, keeps sampled proms/resps at max RVQ level and trim off excess levels according to what model receives them, some other things I already forgot (I really hope no one else has weights being baked right now)	2023-08-19 15:06:33 -05:00
utils	added ability to export weights mid-training to avoid CBT to yank the weights while the training script is running	2023-08-20 13:39:58 -05:00
__init__.py	Rewrite init	2023-08-02 21:53:35 +00:00
__main__.py	distributed training works now (hopefully)	2023-08-13 22:07:45 -05:00
config.py	ops	2023-08-20 13:42:18 -05:00
data.py	I don't know if the lack of start/stop tokens being added was causing my inference tests to fail, but it seems better now	2023-08-20 19:21:54 -05:00
export.py	ops	2023-08-20 13:42:18 -05:00
inference.py	I don't know if the lack of start/stop tokens being added was causing my inference tests to fail, but it seems better now	2023-08-20 19:21:54 -05:00
train.py	nightmare of spaghetti that might break compat; mechanism to increase RVQ bins of an existing model without retraining, keeps sampled proms/resps at max RVQ level and trim off excess levels according to what model receives them, some other things I already forgot (I really hope no one else has weights being baked right now)	2023-08-19 15:06:33 -05:00