Instructions to use mlx-community/MiniMax-Music3-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/MiniMax-Music3-6bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MiniMax-Music3-6bit mlx-community/MiniMax-Music3-6bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
MiniMax Music 3 · MLX 6-bit
Native MLX affine 6-bit weights for
MiniMaxAI/MiniMax-Music3,
converted for lyric-conditioned song generation on Apple Silicon with
mlx-audio.
Community conversion, not an official MiniMax release. All model credit goes to MiniMax. Review the original model card and license before use.
Other MLX variants:
BF16
· 8-bit
· 4-bit
· MXFP8
· MXFP4 (experimental)
· NVFP4 (experimental)
Install
MiniMax Music 3 support is proposed in
Blaizzy/mlx-audio#888.
Until that PR is released, install the tested commit directly:
python -m pip install "mlx-audio @ git+https://github.com/pinglin/mlx-audio.git@c2fa486ddf98ea8268c227b6d624b2f9ba00dbab"
Generate
python -m mlx_audio.music.generate \
--model mlx-community/MiniMax-Music3-6bit \
--caption "Warm acoustic pop, 96 BPM, intimate female vocal" \
--lyrics $'[verse]\nMorning light across the room\n[chorus]\nSing with me' \
--duration 30 \
--steps 30 \
--seed 7 \
--output song.wav
from mlx_audio.music import load
model = load("mlx-community/MiniMax-Music3-6bit")
result = next(
model.generate(
text="Warm acoustic pop, 96 BPM, intimate female vocal",
lyrics="[verse]\nMorning light across the room\n[chorus]\nSing with me",
duration=30,
steps=30,
seed=7,
)
)
print(result.audio.shape, result.sample_rate) # stereo, 44100 Hz
Lyrics are required by the checkpoint contract. Use [instrumental] explicitly
for instrumental generation. Duration is a requested upper bound: the
autoregressive stage may emit its end token early. Style, tempo, instrument, and
vocal controls are probabilistic rather than strict.
Quantization and verification
- Affine 6-bit weight quantization with group size 64.
- Large linears in the global language model, RVQ depth decoder, and flow transformer are quantized. Embeddings, output heads, convolutions, condition encoder, and vocoder remain dense for fidelity.
- The three weight shards total 11,683,414,161 bytes.
- Strict loading and real generation produced finite 44.1 kHz stereo audio.
- The mlx-audio regression suite passed 1,742 tests with 34 expected skips; the focused music, converter, and registry suite passed 43 tests and 3 subtests.
Converted with mlx-audio 0.4.8 development commit c2fa486 and MLX 0.31.2.
License
The weights remain subject to the
MiniMax-Music3 Community License,
including its acceptable-use and commercial terms. The full license text is
included in this repository.
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Model tree for mlx-community/MiniMax-Music3-6bit
Base model
MiniMaxAI/MiniMax-Music3