Instructions to use itsreidar/orukeet-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use itsreidar/orukeet-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download itsreidar/orukeet-mlx --local-dir orukeet-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Orukeet (MLX)
An MLX conversion of oruk/orukeet at revision b59c13a733fce5cf193230d0fa317ee7f145a108,
for mlx-audio-swift's Parakeet loader.
Orukeet is by Oruk AI (Nathan Roll, Irene Yi, Büşra Marşan, Vianney Grenez, Gabriel Stein, Momcilo Mrkaic, Pavle Padjin, Vladimir Zeljkovic, Calbert Graham), fine-tuned from NVIDIA Parakeet TDT 0.6B v3. See the original model card for benchmarks, citation and limitations.
Changes
Format only, no retraining: tensors renamed to the MLX Parakeet layout, convolution weights moved
to channels-last, the LSTM's input and hidden biases summed, and weights stored as float16. The
NeMo config and tokenizer files come from mlx-community/parakeet-tdt-0.6b-v3
(ed2b7e8c15f9aaa0b5772e2efb986255eaef7e15), which has the same architecture and tokenizer.
License
The weights are licensed under CC-BY-SA-4.0, like the original; this conversion is shared under the same license. The original LICENSE, LICENSE-WEIGHTS and NOTICE.md are included.
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