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Browse files- README.md +28 -0
- config.json +297 -0
- generation_config.json +12 -0
- model.safetensors +3 -0
- model.safetensors.index.json +105 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +168 -0
- vocab.json +0 -0
README.md
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---
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license: apache-2.0
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datasets:
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- amphion/Emilia-Dataset
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language:
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- en
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base_model:
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- Marvis-AI/marvis-tts-250m-v0.1-base
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library_name: transformers
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tags:
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- mlx
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- mlx-audio
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- transformers
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- mlx
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---
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# Marvis-AI/marvis-tts-250m-v0.1-MLX-fp16
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This model was converted to MLX format from [`Marvis-AI/marvis-tts-250m-v0.1`](https://huggingface.co/Marvis-AI/marvis-tts-250m-v0.1) using mlx-audio version **0.2.5**.
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Refer to the [original model card](https://huggingface.co/Marvis-AI/marvis-tts-250m-v0.1) for more details on the model.
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## Use with mlx
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```bash
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pip install -U mlx-audio
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```
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```bash
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python -m mlx_audio.tts.generate --model Marvis-AI/marvis-tts-250m-v0.1-MLX-fp16 --text "Describe this image."
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```
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config.json
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{
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"add_cross_attention": false,
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"architectures": [
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"CsmForConditionalGeneration"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"audio_eos_token_id": 128003,
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"audio_num_codebooks": 32,
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"audio_token_id": 128002,
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"audio_vocab_size": 2051,
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"backbone_flavor": "llama-250M",
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"codebook_eos_token_id": 0,
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"codebook_pad_token_id": 2050,
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"codec_config": {
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"sampling_rate": 24000,
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"audio_channels": 1,
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"hidden_size": 512,
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"num_filters": 64,
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"num_residual_layers": 1,
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"upsampling_ratios": [
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8,
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],
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"kernel_size": 7,
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"last_kernel_size": 3,
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"residual_kernel_size": 3,
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"dilation_growth_rate": 2,
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"use_causal_conv": true,
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"pad_mode": "constant",
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"compress": 2,
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"trim_right_ratio": 1.0,
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"codebook_size": 2048,
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"sliding_window": 250,
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34 |
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"special": true
|
35 |
+
},
|
36 |
+
"4": {
|
37 |
+
"content": "<reponame>",
|
38 |
+
"lstrip": false,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"5": {
|
45 |
+
"content": "<file_sep>",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": true
|
51 |
+
},
|
52 |
+
"6": {
|
53 |
+
"content": "<filename>",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": false,
|
58 |
+
"special": true
|
59 |
+
},
|
60 |
+
"7": {
|
61 |
+
"content": "<gh_stars>",
|
62 |
+
"lstrip": false,
|
63 |
+
"normalized": false,
|
64 |
+
"rstrip": false,
|
65 |
+
"single_word": false,
|
66 |
+
"special": true
|
67 |
+
},
|
68 |
+
"8": {
|
69 |
+
"content": "<issue_start>",
|
70 |
+
"lstrip": false,
|
71 |
+
"normalized": false,
|
72 |
+
"rstrip": false,
|
73 |
+
"single_word": false,
|
74 |
+
"special": true
|
75 |
+
},
|
76 |
+
"9": {
|
77 |
+
"content": "<issue_comment>",
|
78 |
+
"lstrip": false,
|
79 |
+
"normalized": false,
|
80 |
+
"rstrip": false,
|
81 |
+
"single_word": false,
|
82 |
+
"special": true
|
83 |
+
},
|
84 |
+
"10": {
|
85 |
+
"content": "<issue_closed>",
|
86 |
+
"lstrip": false,
|
87 |
+
"normalized": false,
|
88 |
+
"rstrip": false,
|
89 |
+
"single_word": false,
|
90 |
+
"special": true
|
91 |
+
},
|
92 |
+
"11": {
|
93 |
+
"content": "<jupyter_start>",
|
94 |
+
"lstrip": false,
|
95 |
+
"normalized": false,
|
96 |
+
"rstrip": false,
|
97 |
+
"single_word": false,
|
98 |
+
"special": true
|
99 |
+
},
|
100 |
+
"12": {
|
101 |
+
"content": "<jupyter_text>",
|
102 |
+
"lstrip": false,
|
103 |
+
"normalized": false,
|
104 |
+
"rstrip": false,
|
105 |
+
"single_word": false,
|
106 |
+
"special": true
|
107 |
+
},
|
108 |
+
"13": {
|
109 |
+
"content": "<jupyter_code>",
|
110 |
+
"lstrip": false,
|
111 |
+
"normalized": false,
|
112 |
+
"rstrip": false,
|
113 |
+
"single_word": false,
|
114 |
+
"special": true
|
115 |
+
},
|
116 |
+
"14": {
|
117 |
+
"content": "<jupyter_output>",
|
118 |
+
"lstrip": false,
|
119 |
+
"normalized": false,
|
120 |
+
"rstrip": false,
|
121 |
+
"single_word": false,
|
122 |
+
"special": true
|
123 |
+
},
|
124 |
+
"15": {
|
125 |
+
"content": "<jupyter_script>",
|
126 |
+
"lstrip": false,
|
127 |
+
"normalized": false,
|
128 |
+
"rstrip": false,
|
129 |
+
"single_word": false,
|
130 |
+
"special": true
|
131 |
+
},
|
132 |
+
"16": {
|
133 |
+
"content": "<empty_output>",
|
134 |
+
"lstrip": false,
|
135 |
+
"normalized": false,
|
136 |
+
"rstrip": false,
|
137 |
+
"single_word": false,
|
138 |
+
"special": true
|
139 |
+
}
|
140 |
+
},
|
141 |
+
"additional_special_tokens": [
|
142 |
+
"<|endoftext|>",
|
143 |
+
"<|im_start|>",
|
144 |
+
"<|im_end|>",
|
145 |
+
"<repo_name>",
|
146 |
+
"<reponame>",
|
147 |
+
"<file_sep>",
|
148 |
+
"<filename>",
|
149 |
+
"<gh_stars>",
|
150 |
+
"<issue_start>",
|
151 |
+
"<issue_comment>",
|
152 |
+
"<issue_closed>",
|
153 |
+
"<jupyter_start>",
|
154 |
+
"<jupyter_text>",
|
155 |
+
"<jupyter_code>",
|
156 |
+
"<jupyter_output>",
|
157 |
+
"<jupyter_script>",
|
158 |
+
"<empty_output>"
|
159 |
+
],
|
160 |
+
"bos_token": "<|im_start|>",
|
161 |
+
"clean_up_tokenization_spaces": false,
|
162 |
+
"eos_token": "<|im_end|>",
|
163 |
+
"extra_special_tokens": {},
|
164 |
+
"model_max_length": 8192,
|
165 |
+
"tokenizer_class": "GPT2Tokenizer",
|
166 |
+
"unk_token": "<|endoftext|>",
|
167 |
+
"vocab_size": 49152
|
168 |
+
}
|
vocab.json
ADDED
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|
|