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mrq
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vall-e
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c00fc18b62
vall-e
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vall_e
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models
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mrq
c00fc18b62
actually use the right embedding for nar-len
2024-11-13 18:04:04 -06:00
..
arch
This better work
2024-11-09 18:04:59 -06:00
__init__.py
unified nar.py into ar_nar.py
2024-11-10 12:19:48 -06:00
ar_nar.py
overhauled how the right resp level / classifier gets picked to avoid cringemath
2024-11-13 13:31:17 -06:00
base.py
actually use the right embedding for nar-len
2024-11-13 18:04:04 -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