Upload folder using huggingface_hub
Browse files- README.md +48 -0
- config.json +59 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- model.safetensors.index.json +554 -0
- special_tokens_map.json +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
README.md
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---
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+
base_model: ekwek/Soprano-1.1-80M
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library_name: mlx-audio
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pipeline_tag: text-to-speech
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tags:
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- mlx
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- text-to-speech
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- speech
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- tts
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- mlx
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- text-to-speech
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- speech
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- speech generation
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- voice cloning
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- tts
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- mlx-audio
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---
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# mlx-community/Soprano-1.1-80M-8bit
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This model was converted to MLX format from [`mlx-community/Soprano-1.1-80M-bf16`](https://huggingface.co/mlx-community/Soprano-1.1-80M-bf16) using mlx-audio version **0.3.1**.
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Refer to the [original model card](https://huggingface.co/mlx-community/Soprano-1.1-80M-bf16) for more details on the model.
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## Use with mlx-audio
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```bash
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pip install -U mlx-audio
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```
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### CLI Example:
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```bash
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python -m mlx_audio.tts.generate --model mlx-community/Soprano-1.1-80M-8bit --text "Hello, this is a test."
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```
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### Python Example:
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```python
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from mlx_audio.tts.utils import load_model
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from mlx_audio.tts.generate import generate_audio
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model = load_model("mlx-community/Soprano-1.1-80M-8bit")
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generate_audio(
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model=model,
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text="Hello, this is a test.",
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ref_audio="path_to_audio.wav",
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file_prefix="test_audio",
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)
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```
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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| 6 |
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"attention_dropout": 0.0,
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| 7 |
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"bos_token_id": 3,
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| 8 |
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"dtype": "bfloat16",
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| 9 |
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"eos_token_id": 3,
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| 10 |
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"head_dim": 128,
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| 11 |
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"hidden_act": "silu",
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| 12 |
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"hidden_size": 512,
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| 13 |
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"initializer_range": 0.041666666666666664,
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| 14 |
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"intermediate_size": 2304,
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| 15 |
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"layer_types": [
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"full_attention",
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| 17 |
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"full_attention",
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| 18 |
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"full_attention",
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| 19 |
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"full_attention",
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| 20 |
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"full_attention",
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| 21 |
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"full_attention",
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| 22 |
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 1024,
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| 35 |
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"max_window_layers": 17,
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| 36 |
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"model_type": "soprano",
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| 37 |
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"num_attention_heads": 4,
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| 38 |
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"num_hidden_layers": 17,
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| 39 |
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"num_key_value_heads": 1,
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| 40 |
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"quantization": {
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| 41 |
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"group_size": 64,
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| 42 |
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"bits": 8,
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| 43 |
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"mode": "affine"
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},
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"quantization_config": {
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| 46 |
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"group_size": 64,
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| 47 |
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"bits": 8,
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"mode": "affine"
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},
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| 50 |
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"rms_norm_eps": 1e-06,
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| 51 |
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"rope_scaling": null,
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| 52 |
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"rope_theta": 10000,
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| 53 |
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"sliding_window": null,
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| 54 |
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"tie_word_embeddings": false,
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| 55 |
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"transformers_version": "4.57.0",
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| 56 |
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 8192
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 3,
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"eos_token_id": 3,
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"transformers_version": "4.57.0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9930a57c344fe39714d02a606d2a10dcc658416ae6add0e27ebcfa4df0e32945
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size 120268715
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model.safetensors.index.json
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|
| 545 |
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|
| 547 |
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|
| 548 |
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|
| 549 |
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|
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|
| 551 |
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|
| 552 |
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|
| 553 |
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|
| 554 |
+
}
|
special_tokens_map.json
ADDED
|
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|
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|
| 1 |
+
{
|
| 2 |
+
"pad_token": "[STOP]"
|
| 3 |
+
}
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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