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Audio modelOpen weights

Phonon-2

Fermion Research

Released
-
Data date
October 3, 2026

Phonon-2 is a heavily compressed English ASR derivative of NVIDIA Parakeet TDT 0.6B. Quantized weights bring it below 900 MB and target local execution rather than claiming a new foundation model.

The model card reports 5.21% word error rate across seven English datasets and roughly 174 times real-time on an M5 MacBook Air. CC-BY-4.0 applies to this derivative.

Specifications and access

SpecificationValue and source
Model class
Compressed speech recognitionSource
Access
Local weightsSource
Input
English audioSource
Output
TranscriptSource
Checkpoint
FermionResearch/Phonon-2Source
License
CC-BY-4.0Source
Derived from
Quantized derivative of nvidia/parakeet-tdt-0.6b-v3, not a new foundation modelSource
Compression
About 2.1 bits per weight and under 900 MBSource
Reported WER
5.21% across seven English datasetsSource