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language:
  - zh
  - en
license: apache-2.0
library_name: mlx
pipeline_tag: feature-extraction
base_model: OpenMOSS-Team/MOSS-Audio-Tokenizer
base_model_relation: quantized
tags:
  - mlx
  - audio
  - speech
  - codec
  - tokenizer
  - apple-silicon
  - quantized
  - 8bit

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

Path	Precision
`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:

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.

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.

License

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

appautomaton
/

openmoss-audio-tokenizer-mlx