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config.json
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{
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"model_type": "vui",
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"library_name": "vui",
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"pipeline_tag": "text-to-speech",
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"license": "mit",
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"language": ["en"],
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"architectures": ["VuiForConditionalGeneration"],
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"model_files": {
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"base": "vui-100m-base.pt",
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"abraham": "vui-abraham-100m.pt",
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"cohost": "vui-cohost-100m.pt",
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"cohost_alt": "ckpts-vui-cohost-100m.pt",
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"tokenizer": "fluac-22hz-22khz.pt"
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},
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"model_variants": {
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"vui-100m-base": {
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"description": "Base checkpoint trained on 40k hours of audio conversations",
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"file": "vui-100m-base.pt",
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"size_mb": 198
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},
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"vui-abraham-100m": {
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"description": "Single speaker model with context awareness",
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"file": "vui-abraham-100m.pt",
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"size_mb": 198
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},
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"vui-cohost-100m": {
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"description": "Two speakers that can interact with each other",
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"file": "vui-cohost-100m.pt",
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"size_mb": 198
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}
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},
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"tokenizer_config": {
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"audio_tokenizer": "fluac",
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"sample_rate": "22khz",
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"file": "fluac-22hz-22khz.pt",
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"size_mb": 307
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},
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"training_data": {
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"hours": 40000,
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"type": "audio_conversations"
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},
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"capabilities": [
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"text-to-speech",
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"conversational-speech",
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"voice-cloning",
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"on-device-inference"
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],
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"torch_dtype": "float32",
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"framework": "pytorch"
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}
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