metadata
language:
- zh
- en
license: apache-2.0
library_name: mlx
pipeline_tag: text-to-speech
base_model: OpenMOSS-Team/MOSS-TTSD-v1.0
base_model_relation: quantized
tags:
- mlx
- tts
- speech
- multi-speaker
- dialogue
- apple-silicon
- quantized
- 8bit
MOSS TTSD v1.0 — MLX 8-bit
This repository contains an MLX-native int8 conversion of MOSS TTSD v1.0 for multi-speaker dialogue generation on Apple Silicon.
Note This repo is a community mirror of the canonical MLX conversion maintained by AppAutomaton at
appautomaton/openmoss-ttsd-mlx.
Variants
| Path | Precision |
|---|---|
mlx-int8/ |
int8 quantized weights |
Model Details
- Developed by: AppAutomaton
- Shared by:
mlx-community - Original MLX repo:
appautomaton/openmoss-ttsd-mlx - Upstream model:
OpenMOSS-Team/MOSS-TTSD-v1.0 - Task: multi-speaker text-to-speech
- Runtime: MLX on Apple Silicon
How to Get Started
Command-line generation with mlx-speech:
python scripts/generate_moss_ttsd.py \
--text "[S1] Watson, I think we should go. [S2] Give me one moment." \
--output outputs/dialogue.wav
Minimal Python usage:
from mlx_speech.generation import MossTTSDelayModel
model = MossTTSDelayModel.from_path("mlx-int8")
Speaker turns are tagged with [S1] and [S2] in the input text.
Notes
- This repo contains the quantized MLX runtime artifact only.
- The conversion keeps the original TTSD architecture and remaps weights explicitly for MLX inference.
- The current runtime path is designed around speaker-tagged dialogue input and shared codec decoding.
- This mirror is a duplicated repo, not an automatically synchronized namespace mirror.
Links
- Canonical MLX repo:
appautomaton/openmoss-ttsd-mlx - Source code:
mlx-speech - More examples: AppAutomaton
License
Apache 2.0 — following the upstream license published with OpenMOSS-Team/MOSS-TTSD-v1.0.