Instructions to use HumeAI/mlx-tada-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use HumeAI/mlx-tada-1b with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir mlx-tada-1b HumeAI/mlx-tada-1b
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 1,208 Bytes
14c50fe | 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 | {
"acoustic_dim": 512,
"acoustic_from_nth_hidden_state": -1,
"acoustic_mean": 0.0,
"acoustic_std": 1.5,
"add_semantic_to_condition": 0.0,
"architectures": [
"TadaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 128000,
"bottleneck_dim": null,
"context_window": 8,
"diffusion_head_type": "vibevoice",
"dist_type": "fixed",
"dtype": "bfloat16",
"eos_token_id": 128001,
"head_dim": 64,
"head_ffn_ratio": 4.0,
"head_layers": 6,
"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 8192,
"latent_dropout": 0.0,
"max_position_embeddings": 131072,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 32,
"num_hidden_layers": 16,
"num_key_value_heads": 8,
"num_time_classes": 256,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": {
"factor": 32.0,
"high_freq_factor": 4.0,
"low_freq_factor": 1.0,
"original_max_position_embeddings": 8192,
"rope_type": "llama3"
},
"rope_theta": 500000.0,
"shift_acoustic": 5,
"tie_word_embeddings": true,
"transformers_version": "4.57.3",
"use_cache": true,
"vocab_size": 128256
}
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