python -m pip install "mlx-minimax-music3[server] @ git+https://github.com/vanch007/mlx-minimax-music3.git@v0.1.0"

mlx-minimax-music3 generate \
  --model vanch007/MiniMax-Music3-MLX-8bit \
  --prompt "Warm acoustic pop with intimate female vocals and fingerpicked guitar." \
  --lyrics $'[verse]\nMorning light across the sea\n[chorus]\nStay here and sing this song with me' \
  --duration 10 \
  --seed 7 \
  --steps 30 \
  --output song.wav

Apple silicon and Metal are required. The production runtime does not use PyTorch.

Checkpoint

Weight size: 14,167,660,156 bytes (13.195 GiB)
Components: Qwen3 language model, RVQ depth decoder, condition encoder, flow transformer, stereo vocoder
Output: 44.1 kHz stereo waveform
Weight shards: 12
MLX tensors: 1,978
Quantization: affine 8-bit, group size 64

Quantized modules:

Language-model attention and MLP matrices
RVQ depth-decoder attention and MLP matrices
Flow-transformer projections, attention, and feed-forward matrices

BF16 modules and parameters:

Token, codebook, and positional embeddings
Language-model and RVQ output heads
Normalizations and biases
Condition encoder
Timestep and Fourier projections
Convolutions and complete vocoder

Each component directory includes a conversion manifest with per-shard SHA-256 values, source-shard coverage, tensor names, and remote verification metadata.

Provenance

Item	Revision
Source model	`MiniMaxAI/MiniMax-Music3@c2509fd6b60d1ae169cd1df27f78a53174ba17e8`
Diffusers reference	`huggingface/diffusers@c6da9936e4bda83107943a16eb8682e9a37d8527`
MLX runtime	`vanch007/mlx-minimax-music3@v0.1.0`

The full provenance record is in source_manifest.json.

Validation

The complete repository was downloaded from its fixed Hugging Face commit and passed strict shard, SHA-256, tensor-name, and finite-value checks.

Fixed-input component comparisons against the official BF16 PyTorch reference produced:

Component	Cosine similarity	Relative RMSE
Language model	0.999822	0.025001
RVQ depth decoder	0.999916	0.012956
Condition encoder	0.999990	0.004654
Flow transformer	0.998990	0.045071
Vocoder	0.999877	0.015715

A local Apple M3 Max release run generated 10 seconds of audio using 250 autoregressive frames, two overlapping chunks, and 30 flow steps. The result was a finite, non-silent, unclipped 44.1 kHz stereo PCM WAV lasting 9.996 seconds. Peak MLX memory was 23.34 GiB.

These checks establish implementation and numerical alignment within the recorded quantized tolerances. Human listening review is pending; no claim of perceptual quality parity with the source release is made.

Limitations

Apple silicon only
One song per generation call
No streaming output
No training or fine-tuning support
Generated audio may end before the requested maximum duration
Lower-memory Macs have not been validated for this checkpoint

License

This converted checkpoint remains subject to the MiniMax-Music3 Community License, including its attribution, acceptable-use, safeguard, and commercial terms.