Neural Amp Model (NAM)
Loads a neural capture of a real guitar amplifier and runs your signal through it.
What it does
A Neural Amp Model is a digital "photograph" of a real amplifier. It captures not just the amp's frequency response, but the way it responds dynamically to picking attack, chord voicings, and volume swells — so it feels like the real thing as you play. Any NAM-format model file can be loaded, including captures from the Tone3000 community library or your own captures.
Parameters
| Parameter | Range | Default | What it does |
|---|---|---|---|
| Input Gain | −24 to +24 dB | 0 dB | Scales the signal level going into the model. Raise it to push the amp into more saturation; reduce it to clean up the tone |
| Output Gain | −24 to +24 dB | 0 dB | Scales the output level coming out of the model. Use this to match loudness between different amp models |
Selecting a model
Click the folder icon on the NAM node to open the resource browser. You can choose from:
- Library models — downloaded via Tone3000 or added to your resource folders
- Local files — browse your computer for a
.nammodel file
Tips
- Input Gain is like a boost pedal into the amp. +3 to +6 dB can push a model that feels slightly clean into a more saturated character, just as a clean boost into a real amp does.
- Match output levels when A/B comparing two models — a louder model will always sound more impressive, so level-match to make a fair comparison.
- Auto-Level calibration (in Settings) adjusts the input level automatically based on the model's training data. Leave this on for the most accurate behaviour out of the box.
- Always follow the NAM node with a Cabinet IR or Simple Cabinet — the model is the amp head only, without a speaker cabinet.