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: 650 Bytes
e3fd4d4 | 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 | {
"hidden_size": 3072,
"intermediate_size": 8192,
"num_attention_heads": 48,
"num_attention_groups": 4,
"num_hidden_layers": 32,
"vocab_size": 74752,
"rms_norm_eps": 1e-05,
"bos_token_id": 1,
"pad_token_id": 0,
"eos_token_id": 3,
"tie_word_embeddings": false,
"use_cache": true,
"max_seq_len": 32768,
"model_type": "step1",
"architectures": [
"Step1ForCausalLM"
],
"torch_dtype": "bfloat16",
"auto_map": {
"AutoConfig": "configuration_step1.Step1Config",
"AutoModelForCausalLM": "modeling_step1.Step1ForCausalLM"
},
"quantization": {
"bits": 4,
"group_size": 64,
"mode": "affine"
}
}
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