Text-to-Audio
Safetensors
MLX
mlx-audio
minimax_music3
apple-silicon
music-generation
text-to-music
quantized
6bit
6-bit
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
| { | |
| "architectures": [ | |
| "MiniMaxMusic3ForConditionalGeneration" | |
| ], | |
| "audio_cfg_token_id": 151654, | |
| "audio_code_offset": 151675, | |
| "audio_end_token_id": 151670, | |
| "audio_vocab_size": 1024, | |
| "condition_out_dim": 2048, | |
| "depth_intermediate_size": 6144, | |
| "depth_max_position_embeddings": 16, | |
| "depth_num_heads": 16, | |
| "depth_num_layers": 4, | |
| "dit_ff_inner_dim": 8192, | |
| "dit_fourier_dim": 256, | |
| "dit_head_dim": 64, | |
| "dit_in_channels": 128, | |
| "dit_num_heads": 32, | |
| "dit_num_layers": 36, | |
| "dit_rotary_dim": 32, | |
| "extra": {}, | |
| "frame_rate": 25.0, | |
| "head_dim": 128, | |
| "hidden_size": 4096, | |
| "input_hop_length": 960, | |
| "input_sampling_rate": 24000, | |
| "intermediate_size": 12288, | |
| "max_position_embeddings": 10240, | |
| "model_path": "", | |
| "model_type": "minimax_music3", | |
| "num_attention_heads": 32, | |
| "num_codebooks": 8, | |
| "num_condition_layers": 8, | |
| "num_hidden_layers": 36, | |
| "num_key_value_heads": 8, | |
| "output_hop_length": 512, | |
| "output_sampling_rate": 44100, | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 6, | |
| "mode": "affine" | |
| }, | |
| "quantization_config": { | |
| "group_size": 64, | |
| "bits": 6, | |
| "mode": "affine" | |
| }, | |
| "rms_norm_eps": 1e-06, | |
| "rope_theta": 1000000.0, | |
| "sample_rate": 44100, | |
| "semantic_vocab_size": 16384, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "vocab_size": 200000, | |
| "vocoder_hidden_dim": 1536, | |
| "vocoder_input_dim": 1024, | |
| "vocoder_upsampling_ratios": [ | |
| 8, | |
| 8, | |
| 4, | |
| 2 | |
| ] | |
| } |