Instructions to use kingfang008/step-audio-editx-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kingfang008/step-audio-editx-4bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir step-audio-editx-4bit-mlx kingfang008/step-audio-editx-4bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 619 Bytes
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"input_size": 512,
"output_size": 80,
"spk_embed_dim": 192,
"vocab_size": 5121,
"encoder_output_size": 512,
"pre_lookahead_len": 3,
"num_blocks": 6,
"num_up_blocks": 4,
"up_stride": 2,
"up_scale_factor": 2.0,
"attention_heads": 8,
"linear_units": 2048,
"key_bias": true,
"estimator_in_channels": 320,
"estimator_out_channels": 80,
"estimator_hidden_size": 512,
"estimator_depth": 16,
"estimator_num_heads": 8,
"estimator_head_dim": 64,
"estimator_mlp_ratio": 4.0,
"inference_cfg_rate": 0.7,
"quantization": {
"bits": 4,
"group_size": 64,
"mode": "affine"
}
}
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