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Note This repo is a community mirror of the canonical MLX conversion maintained by AppAutomaton atappautomaton/openmoss-audio-tokenizer-mlx.
| Path | Precision |
|---|---|
mlx-int8/ | int8 quantized weights |
mlx-communityappautomaton/openmoss-audio-tokenizer-mlxOpenMOSS-Team/MOSS-Audio-Tokenizermlx-speech:1from mlx_speech.models.moss_audio_tokenizer import MossAudioTokenizerModel
2
3model = MossAudioTokenizerModel.from_path("mlx-int8")1python scripts/generate/moss_local.py \
2 --text "Hello from mlx-speech." \
3 --output outputs/out.wavappautomaton/openmoss-audio-tokenizer-mlxmlx-speechOpenMOSS-Team/MOSS-Audio-Tokenizer.