TONE3000

Rattler Bass Distortion

Pedal Capture

NAM

friendinosaka's avatar

friendinosaka

3 hours ago

Description

JAM Pedals Rattler — RAT-style distortion, captured across its higher-gain distortion range. Signal chain: JAM Pedals Rattler → MOTU M4 (instrument input, unity gain staging, no pad) → Logic Pro. Training and validation files recorded at 48 kHz / 24-bit, no processing on the input path, no plugins on the record track. Captured settings: Distortion/Gain swept from 12 to 16 o'clock — the pedal's core distortion territory, from thick midrange grind up to full saturation. Volume was pulled back progressively as gain went up, so output level stays roughly consistent across the set and the models can be swapped without jumps in loudness. Filter left neutral (12–15 o'clock) to keep the captures tonally flat and EQ-friendly downstream. Clean blend: ~25–30% dry signal mixed in, preserving low-end weight and pick attack that a fully wet RAT circuit compresses away. This is baked into the capture, so the models sound tighter and more defined than the pedal alone at the same knob positions. Notes: Pedal-only captures — no amp, no cab, no IR. Run them into your own amp model and cab/IR. Input level matters: the captures were trained at a fixed input level, so drive your NAM plugin near 0 dB input for the modeled gain structure to track correctly. Backing the input off cleans things up much like rolling back the guitar volume on the real pedal.

Makes and Models

JAM Pedals Rattler

Preview

Model
IR
Input

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Models

Each model captures the gear at specific knob settings.

A2-FullESR: 0.0016

A2-LiteESR: 0.0037

200 Epochs

Dry/Wet

Captured on

Tone3000 - NAM Captures and IRs

A2-FullESR: 0.0017

A2-LiteESR: 0.004

200 Epochs

Dry/Wet

Captured on

Tone3000 - NAM Captures and IRs

A2-FullESR: 0.0013

A2-LiteESR: 0.0033

200 Epochs

Dry/Wet

Captured on

Tone3000 - NAM Captures and IRs

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License: T3K

Users may download and use the data file in software and publish the resulting outputs without royalties or restrictions. However, they may not upload, republish, or distribute the data file without the author's permission.

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