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mrq
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vall-e
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d0a5c7eca2
vall-e
/
vall_e
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models
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mrq
d0a5c7eca2
more coping with the NAR len
2024-08-03 20:23:36 -05:00
..
arch
some cleanup, fixed the wrapper attention to explicitly use other sdpa backends
2024-08-03 19:51:00 -05:00
__init__.py
sanity cleanup: moved experimental features under its own thing
2024-06-30 10:37:33 -05:00
ar_nar.py
some cleanup, fixed the wrapper attention to explicitly use other sdpa backends
2024-08-03 19:51:00 -05:00
base.py
more coping with the NAR len
2024-08-03 20:23:36 -05:00
experimental.py
added what I think is DRY sampling
2024-07-29 19:15:07 -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
nar.py
some cleanup, fixed the wrapper attention to explicitly use other sdpa backends
2024-08-03 19:51:00 -05:00