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mrq
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vall-e
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ca31da0a95
vall-e
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vall_e
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models
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mrq
ca31da0a95
sageattn (forgot to bother with testing this the other day, seems ifne)
2024-12-03 15:14:57 -06:00
..
arch
sageattn (forgot to bother with testing this the other day, seems ifne)
2024-12-03 15:14:57 -06:00
__init__.py
unified nar.py into ar_nar.py
2024-11-10 12:19:48 -06:00
ar_nar.py
added mixed modality AR+NAR-len to generate a short prefix through the AR, then inference with said prefix through the NAR-len (need to experiment with it more to ensure that the masked off tokens are the only tokens getting updated)
2024-11-20 14:22:12 -06:00
base.py
touch ups in docs
2024-12-02 19:10:42 -06:00
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
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