Instructions to use mlx-community/SongGeneration-v2-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/SongGeneration-v2-medium with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir SongGeneration-v2-medium mlx-community/SongGeneration-v2-medium
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Add default bf16 config.json
Browse files- config.json +129 -0
config.json
ADDED
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{
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"format": "songgeneration-mlx-audiolm",
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"source": "tencent/SongGeneration",
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"official_code": "https://github.com/tencent-ailab/songgeneration",
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"variant": "v2-medium",
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"precision": "bfloat16",
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"runtime": {
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"hidden_size": 1536,
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"intermediate_size": 8960,
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"num_heads": 12,
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"num_layers": 28,
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"num_layers_sub": 12,
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"code_depth": 3,
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"code_size": 16384,
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"prompt_len": 10,
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"frame_rate": 25,
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"max_position_embeddings": 10000,
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"max_position_embeddings_sub": 10000,
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"rope_theta": 500000.0,
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"rope_theta_sub": 500000.0,
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"cfg_coef": 1.5
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},
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"components": {
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"audiolm": "converted to MLX safetensors",
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"qwen_tokenizer": "copied for lyric/style tokenization",
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"audio_decoder": "use official PyTorch Flow1dVAE/separate tokenizer bridge for now"
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},
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"skipped_keys": [
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"audiolm.out_norm.weight",
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"audiolm.out_norm.bias",
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"audiolm.transformer2.lm_head.weight"
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],
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"weight_files": [
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}
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