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parakeet-tdt-0.6b-v3-mlx
NeoRoth/parakeet-tdt-0.6b-v3-mlx
parakeet-tdt-0.6b-v3-mlx is a automatic speech recognition model from NeoRoth. Use it when you need speech turned into text. It is set up for mlx. The card lists the license as cc-by-4.0.
MLX safetensors conversion of nvidia/parakeet-tdt-0.6b-v3 for Apple Silicon.
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627M
2.5 GB on disk
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Repo makeup
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.safetensors2.5 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- mlx
- License
- cc-by-4.0
- Access
- Public
- Created
- Mar 10, 2026
- Updated
- Mar 10, 2026
- SHA
- bb7fb845
Base models
Model card
From the Hugging Face model README
Parakeet TDT 0.6B v3 — MLX
MLX safetensors conversion of nvidia/parakeet-tdt-0.6b-v3 for Apple Silicon.
Architecture
- Encoder: Conformer (1024 hidden, pre-encoding convolutions + transformer layers)
- Decoder: TDT Transducer (predictor LSTM + joint network, 5 duration classes: 0-4)
- Vocabulary: 1025 tokens (SentencePiece)
- Parameters: ~0.6B
- Audio input: 16 kHz mono, 128 mel bins
Contents
| File | Description |
|---|---|
model.safetensors | All weights (encoder + predictor + joint), float32, ~2.3 GB |
config.json | Full NeMo model configuration |
tokenizer.model | SentencePiece tokenizer |
tokenizer.vocab | Tokenizer vocabulary |
vocab.txt | Text vocabulary |
Notes
- Weights converted from NeMo PyTorch format to MLX safetensors
- Convolution weights use MLX layout (OHWI for 2D, OKI for 1D) — not directly compatible with PyTorch
- CTC head, preprocessor, spec augmentation, and loss weights are excluded (inference only)
License
CC-BY-4.0 — following the upstream nvidia/parakeet-tdt-0.6b-v3 license. Attribution to NVIDIA is required.
Source
Converted from nvidia/parakeet-tdt-0.6b-v3.
- Task
- Automatic Speech Recognition
- Library
- mlx
- License
- cc-by-4.0
- Languages
- en
- Created
- Mar 10, 2026
- Updated
- Mar 10, 2026