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appautomaton/openmoss-audio-tokenizer-mlx

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face
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OpenMOSS Audio Tokenizer — MLX 8-bit

This repository contains an MLX-native int8 conversion of the OpenMOSS audio tokenizer for Apple Silicon.

It is a supporting model that encodes and decodes audio tokens for the OpenMOSS TTS family. It is not a standalone speech generation model.

Variants

PathPrecision
mlx-int8/int8 quantized weights

Model Details

  • —Developed by: AppAutomaton
  • —Shared by: AppAutomaton on Hugging Face
  • —Upstream model: `OpenMOSS-Team/MOSS-Audio-Tokenizer`
  • —Task: audio tokenization and codec decoding
  • —Runtime: MLX on Apple Silicon

How to Get Started

Load it directly with `mlx-speech`:

python
from mlx_speech.models.moss_audio_tokenizer import MossAudioTokenizerModel

model = MossAudioTokenizerModel.from_path("mlx-int8")

The tokenizer is loaded automatically when you run OpenMOSS generation scripts. You usually do not need to instantiate it directly.

bash
python scripts/generate/moss_local.py \
  --text "Hello from mlx-speech." \
  --output outputs/out.wav

Notes

  • —This repo contains the quantized MLX runtime artifact only.
  • —The conversion remaps the original OpenMOSS audio tokenizer weights explicitly for MLX inference.
  • —The artifact is shared by the OpenMOSS local TTS, TTSD, and SoundEffect runtime paths in this repo.

Links

License

Apache 2.0 — following the upstream license published with `OpenMOSS-Team/MOSS-Audio-Tokenizer`.