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
File size: 1,609 Bytes
9a0025d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | {
"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
]
} |