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mrq
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vall-e
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95da4e9405
vall-e
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vall_e
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models
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mrq
95da4e9405
made muon actually work by actually utilizing param groups (thanks APOLLO for reminding me this is the sane way to handle this split)
2025-02-26 10:39:13 -06:00
..
arch
added muon optimizer through kludge hacks because it necessitates a second optimizer in tandum that seems to only sometimes work with deepspeed
2025-02-23 11:22:13 -06:00
__init__.py
2024-12-26 21:42:17 -06:00
ar_nar.py
made muon actually work by actually utilizing param groups (thanks APOLLO for reminding me this is the sane way to handle this split)
2025-02-26 10:39:13 -06:00
base.py
made muon actually work by actually utilizing param groups (thanks APOLLO for reminding me this is the sane way to handle this split)
2025-02-26 10:39:13 -06:00
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