Training for NAM (Neural Amp Modeler)

Hi everyone?
Would it be possible to turn a normal nam file to a nano without retraining?
Cheers!

There is not an option for that yet.

From what I understood, you can upload LSTM models and NAM will play them seamlessly, but ToneHunt does not offer the filters to find them.

There is a tag system, but users cannot create tags, so you need to rely on their dev team to decide on which tags to create. I have enquired about that with them and they will add tags for different model types - WaveNet, LSTM, GRU - if those become popular.

They already have tags for the model weight (standard-mdl, feather-mdl, nano-mdl) but the usability is a bit skewed yet, as there is no straightforward way to search for a tag yet.

Let’s hope that, with the need of making better distinctions between the models, ToneHunt implements improved filters and also starts fetching metadata from the actual model files.

1 Like

Is there any way of “compressing” a .nam file into a nano one?

Unfortunately not :frowning:

1 Like

I have quite a lot of LSTM NAM models at (http, not https) coginthemachine(dot)ddns(dot)net/mnt/nam and I continuesly try to improve them. Compared to the default settings my models sound so much better/accurate.

1 Like

One thing I have noticed is that the training parameters for LSTM are extremely sensitive.

image

Make sure that you use http and not https.