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mrq
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vall-e
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vall-e
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vall_e
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models
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mrq
443422ecb5
ugh, finally got some form of offloading working (need to test if it works on different GPUs, but GPU and CPU offloading seems to work in the test trainer)
2024-08-01 22:43:39 -05:00
..
arch
mamba2-hf using
vasqu/mamba2-torch
because it lets me use mamba2 without triton ops (training with my 4xV100s are not happy with mamba2 because of triton)
2024-06-14 19:42:17 -05:00
__init__.py
sanity cleanup: moved experimental features under its own thing
2024-06-30 10:37:33 -05:00
ar_nar.py
ugh, finally got some form of offloading working (need to test if it works on different GPUs, but GPU and CPU offloading seems to work in the test trainer)
2024-08-01 22:43:39 -05:00
base.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
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
fixes for the NAR-len model, and documentation some config options, and a better way to handle resizing modules on state_dict load
2024-07-31 20:35:09 -05:00