Not sure if it’s relevant here, but I just went through a ton of work to make the training work locally on Linux, thread here:
The packages include a script to convert the trained NAM files to AIDA, but it DOES NOT WORK with many of the possible training models and unit types in the training script. After a ton of trial and error, my best results have been this config file:
{
“model”: “SimpleRNN”,
“hidden_size”: 12,
“unit_type”: “GRU”,
“input_size”: 1,
“output_size”: 1,
“skip_con”: 1,
“device”: “MOD-DWARF”,
“samplerate”: 48000.0,
“file_name”: “OUTPUT”,
“based”: “Someamp”,
“author”: “Me”
}
This eats up my 32GB of RAM, and it takes hours, but it has created a very good replica of my favorite amp. So close I can’t tell the difference in extensive blind testing. More importantly, the conversion script worked with this setup.
I realize this may not be what you are after. Just offering it in case you want to try it another way.