Text-to-Speech
MLX
Safetensors
English
dots_tts
tts
quantized
4-bit precision
8-bit precision
apple-silicon
dots.tts
Instructions to use smcleod/dots.tts-soar-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use smcleod/dots.tts-soar-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download smcleod/dots.tts-soar-mlx --local-dir dots.tts-soar-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download mf/config.json from smcleod/dots.tts-soar-mlx: direct link, hf CLI and curl.
- Browser
- Download file 1.93 kB
-
https://huggingface.co/smcleod/dots.tts-soar-mlx/resolve/main/mf/config.json
- Command line
-
hf download hf://smcleod/dots.tts-soar-mlx/mf/config.json
-
curl -L -o config.json https://huggingface.co/smcleod/dots.tts-soar-mlx/resolve/main/mf/config.json
1.93 kB
| { | |
| "model_type": "dots_tts", | |
| "latent_dim": 128, | |
| "patch_size": 4, | |
| "cfg_droprate": 0.2, | |
| "PatchEncoder": { | |
| "num_layers": 24, | |
| "num_heads": 16, | |
| "hidden_size": 1024, | |
| "ffn_hidden_size": 4096, | |
| "modulation": false, | |
| "qkv_bias": false, | |
| "qk_norm": true, | |
| "attn_dropout": 0.0, | |
| "dropout": 0.1, | |
| "norm_layer": "RMSNorm", | |
| "alibi_bias": false, | |
| "rotary_bias": true, | |
| "rotary_theta": 10000.0, | |
| "input_dim": 128, | |
| "causal": true | |
| }, | |
| "DiT": { | |
| "num_layers": 18, | |
| "num_heads": 16, | |
| "hidden_size": 1024, | |
| "ffn_hidden_size": 4096, | |
| "modulation": true, | |
| "qkv_bias": false, | |
| "qk_norm": true, | |
| "attn_dropout": 0.0, | |
| "dropout": 0.0, | |
| "norm_layer": "RMSNorm", | |
| "alibi_bias": false, | |
| "rotary_bias": true, | |
| "rotary_theta": 10000.0 | |
| }, | |
| "vocoder": { | |
| "sample_rate": 48000, | |
| "upsample_rates": [ | |
| 10, | |
| 6, | |
| 4, | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| "upsample_kernel_sizes": [ | |
| 20, | |
| 12, | |
| 8, | |
| 4, | |
| 4, | |
| 4 | |
| ], | |
| "upsample_initial_channel": 1536, | |
| "resblock": "1", | |
| "resblock_kernel_sizes": [ | |
| 3, | |
| 7, | |
| 11 | |
| ], | |
| "resblock_dilation_sizes": [ | |
| [ | |
| 1, | |
| 3, | |
| 5 | |
| ], | |
| [ | |
| 1, | |
| 3, | |
| 5 | |
| ], | |
| [ | |
| 1, | |
| 3, | |
| 5 | |
| ] | |
| ], | |
| "downsample_rates": [ | |
| 2, | |
| 2, | |
| 2, | |
| 4, | |
| 6, | |
| 10 | |
| ], | |
| "downsample_channels": [ | |
| 12, | |
| 24, | |
| 48, | |
| 96, | |
| 192, | |
| 384, | |
| 768 | |
| ], | |
| "activation": "snakebeta", | |
| "snake_logscale": true, | |
| "latent_dim": 128, | |
| "causal": true, | |
| "mi_num_layers": 4, | |
| "causal_encoder": true, | |
| "use_bias_at_final": false, | |
| "use_tanh_at_final": false | |
| }, | |
| "fm_sigma": 0.0, | |
| "xvec_drop_rate": 0.2, | |
| "campplus_embedding_size": 512, | |
| "xvec_max_audio_seconds": 10.0, | |
| "architectures": [ | |
| "DotsTTSForConditionalGeneration" | |
| ] | |
| } |