Instructions to use mlx-community/ACE-Step-1.5-text-encoder-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/ACE-Step-1.5-text-encoder-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/ACE-Step-1.5-text-encoder-bf16 --local-dir ACE-Step-1.5-text-encoder-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download config.json from mlx-community/ACE-Step-1.5-text-encoder-bf16: direct link, hf CLI and curl.
- Browser
- Download file 1.51 kB
-
https://huggingface.co/mlx-community/ACE-Step-1.5-text-encoder-bf16/resolve/main/config.json
- Command line
-
hf download hf://mlx-community/ACE-Step-1.5-text-encoder-bf16/config.json
-
curl -L -o config.json https://huggingface.co/mlx-community/ACE-Step-1.5-text-encoder-bf16/resolve/main/config.json
1.51 kB
| { | |
| "architectures": [ | |
| "Qwen3Model" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 151643, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 151643, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 1024, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_types": [ | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention", | |
| "full_attention" | |
| ], | |
| "max_position_embeddings": 32768, | |
| "max_window_layers": 28, | |
| "model_type": "qwen3", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 28, | |
| "num_key_value_heads": 8, | |
| "rms_norm_eps": 1e-06, | |
| "rope_scaling": null, | |
| "rope_theta": 1000000, | |
| "sliding_window": null, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "4.57.0.dev0", | |
| "use_cache": true, | |
| "use_sliding_window": false, | |
| "vocab_size": 151669, | |
| "mlx_ace_step": { | |
| "source_weights": "ACE-Step/Ace-Step1.5@19671f4", | |
| "upstream_code": "ace-step/ACE-Step-1.5@ca1e85f", | |
| "part": "Qwen3-Embedding-0.6B", | |
| "dtype": "bfloat16", | |
| "layout": "mlx-lm (model.* keys, tied embedding)" | |
| } | |
| } |