mlx-community/MOSS-TTS-Local-Transformer-v1.5-bf16
MLX conversion of OpenMOSS-Team/MOSS-TTS-Local-Transformer-v1.5
(OpenMOSS / MOSI.AI) — the 4B MossTTSLocal speech model (Qwen3 backbone + a local transformer
emitting 12 RVQ codebooks per frame), zero-shot voice cloning, streaming synthesis, 48 kHz stereo
output through MOSS-Audio-Tokenizer-v2.
Precision: bf16 (unquantized, weights as upstream) — 8.5 GB. Converted with mlx_audio.convert
(model type moss_tts_local) from the upstream safetensors, tokenizer files copied verbatim;
the upstream remote-code .py files are not needed by MLX and were dropped.
Sibling tiers: MOSS-TTS-Local-Transformer-v1.5-bf16 · -8bit · -4bit. The codec is
mlx-community/MOSS-Audio-Tokenizer-v2-bf16
(this config's audio_tokenizer_name_or_path still points at the upstream fp32 repo, which
mlx-audio also loads directly).
Use with mlx-audio
from mlx_audio.tts import load
from mlx_audio.audio_io import write as audio_write
model = load("mlx-community/MOSS-TTS-Local-Transformer-v1.5-bf16", lazy=True)
result = next(model.generate(
text="Hello, this is MOSS-TTS running on MLX.",
ref_audio="speaker.wav", # optional zero-shot cloning prompt
language="English",
max_tokens=400,
))
audio_write("out.wav", result.audio, result.sample_rate) # 48 kHz stereo
Streaming (stream=True, streaming_interval=2.0) is supported on this checkpoint; see the
mlx-audio moss_tts README. Fixed 12-codebook RVQ depth — do not pass a different
n_vq_for_inference.
License
Apache-2.0 (upstream weights and this conversion). Please credit OpenMOSS for the model.