mrq 589cfb0e18 yuge speedup because of a dumb oversight		2025-03-20 17:39:41 -05:00
..
arch	more tweaks to the new implementation (properly trim the len stuff to save some params, decoder to d_ffn expansion to 2 to maybe also make it faster, etc.)	2025-03-18 19:34:37 -05:00
__init__.py	segregated experimental changes into its own streamlined file to avoid breaking the existing model, and it can pivot to the cleaned up code if it actually works (nothing is working)	2025-02-26 21:26:13 -06:00
ar_nar_v2.py	cleaned up parallel nar, i think it's slightly faster but even the smallest model is still slower than ar+nar-len-llama-8...	2025-03-20 15:56:15 -05:00
ar_nar.py	a gorillionth time's the charm (aka: the encoder/decoder pill is a tough pill to swallow)	2025-02-28 17:56:50 -06:00
base_v2.py	yuge speedup because of a dumb oversight	2025-03-20 17:39:41 -05:00
base.py	yuge speedup because of a dumb oversight	2025-03-20 17:39:41 -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