metadata
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
MOSS Audio Tokenizer — MLX 8-bit
This repository contains an MLX-native int8 conversion of the MOSS Audio Tokenizer for Apple Silicon.
Note This repo is a community mirror of the canonical MLX conversion maintained by AppAutomaton at
appautomaton/openmoss-audio-tokenizer-mlx.
Variants
| Path | Precision |
|---|---|
mlx-int8/ |
int8 quantized weights |
Model Details
- Developed by: AppAutomaton
- Shared by:
mlx-community - Original MLX repo:
appautomaton/openmoss-audio-tokenizer-mlx - 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 MOSS audio tokenizer weights explicitly for MLX inference.
- The artifact is shared by the OpenMOSS local TTS, TTSD, and SoundEffect runtime paths in this repo family.
- This mirror is a duplicated repo, not an automatically synchronized namespace mirror.
Links
- Canonical MLX repo:
appautomaton/openmoss-audio-tokenizer-mlx - Source code:
mlx-speech - More examples: AppAutomaton
License
Apache 2.0 — following the upstream license published with OpenMOSS-Team/MOSS-Audio-Tokenizer.