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Upload VibeVoice 1.5B model

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README.md CHANGED
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  license: mit
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  ---
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- ## Model description
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  VibeVoice is a novel framework designed for generating expressive, long-form, multi-speaker conversational audio, such as podcasts, from text. It addresses significant challenges in traditional Text-to-Speech (TTS) systems, particularly in scalability, speaker consistency, and natural turn-taking.
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@@ -10,6 +10,11 @@ A core innovation of VibeVoice is its use of continuous speech tokenizers (Acous
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  The model can synthesize speech up to **90 minutes** long with up to **4 distinct speakers**, surpassing the typical 1-2 speaker limits of many prior models.
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  ## Training details
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  Transformer-based Large Language Model (LLM) integrated with specialized acoustic and semantic tokenizers and a diffusion-based decoding head.
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  - LLM: [Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) for this release.
 
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  license: mit
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  ---
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+ ## VibeVoice: A Frontier Open-Source Text-to-Speech Model
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  VibeVoice is a novel framework designed for generating expressive, long-form, multi-speaker conversational audio, such as podcasts, from text. It addresses significant challenges in traditional Text-to-Speech (TTS) systems, particularly in scalability, speaker consistency, and natural turn-taking.
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  The model can synthesize speech up to **90 minutes** long with up to **4 distinct speakers**, surpassing the typical 1-2 speaker limits of many prior models.
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+
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+ ➡️ **Project Demo:** [microsoft/VibeVoice-Demo](https://microsoft.github.io/VibeVoice)
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+
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+ ➡️ **Github Code:** [microsoft/VibeVoice-Code](https://github.com/microsoft/VibeVoice)
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+
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  ## Training details
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  Transformer-based Large Language Model (LLM) integrated with specialized acoustic and semantic tokenizers and a diffusion-based decoding head.
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  - LLM: [Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) for this release.
config.json ADDED
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+ {
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+ "acoustic_vae_dim": 64,
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+ "acoustic_tokenizer_config": {
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+ "causal": true,
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+ "channels": 1,
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+ "conv_bias": true,
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+ "conv_norm": "none",
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+ "corpus_normalize": 0.0,
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+ "decoder_depths": null,
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+ "decoder_n_filters": 32,
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+ "decoder_ratios": [
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+ 8,
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+ 5,
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+ 5,
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+ 4,
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+ 2,
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+ 2
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+ ],
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+ "disable_last_norm": true,
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+ "encoder_depths": "3-3-3-3-3-3-8",
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+ "encoder_n_filters": 32,
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+ "encoder_ratios": [
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+ 8,
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+ 5,
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+ 4,
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+ 2,
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+ 2
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+ ],
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+ "fix_std": 0.5,
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+ "layer_scale_init_value": 1e-06,
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+ "layernorm": "RMSNorm",
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+ "layernorm_elementwise_affine": true,
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+ "layernorm_eps": 1e-05,
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+ "mixer_layer": "depthwise_conv",
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+ "model_type": "vibevoice_acoustic_tokenizer",
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+ "pad_mode": "constant",
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+ "std_dist_type": "gaussian",
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+ "vae_dim": 64,
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+ "weight_init_value": 0.01
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+ },
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+ "architectures": [
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+ "VibeVoiceForConditionalGeneration"
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+ ],
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+ "decoder_config": {
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+ "attention_dropout": 0.0,
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+ "hidden_act": "silu",
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+ "hidden_size": 1536,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 8960,
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+ "max_position_embeddings": 65536,
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+ "max_window_layers": 28,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 28,
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+ "num_key_value_heads": 2,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": true,
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+ "torch_dtype": "bfloat16",
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+ "use_cache": true,
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+ "use_sliding_window": false,
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+ "vocab_size": 151936
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+ },
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+ "diffusion_head_config": {
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+ "ddpm_batch_mul": 4,
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+ "ddpm_beta_schedule": "cosine",
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+ "ddpm_num_inference_steps": 20,
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+ "ddpm_num_steps": 1000,
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+ "diffusion_type": "ddpm",
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+ "head_ffn_ratio": 3.0,
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+ "head_layers": 4,
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+ "hidden_size": 1536,
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+ "latent_size": 64,
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+ "model_type": "vibevoice_diffusion_head",
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+ "prediction_type": "v_prediction",
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+ "rms_norm_eps": 1e-05,
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+ "speech_vae_dim": 64
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+ },
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+ "model_type": "vibevoice",
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+ "semantic_tokenizer_config": {
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+ "causal": true,
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+ "channels": 1,
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+ "conv_bias": true,
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+ "conv_norm": "none",
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+ "corpus_normalize": 0.0,
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+ "disable_last_norm": true,
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+ "encoder_depths": "3-3-3-3-3-3-8",
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+ "encoder_n_filters": 32,
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+ "fix_std": 0,
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+ "layer_scale_init_value": 1e-06,
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+ "layernorm": "RMSNorm",
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+ "layernorm_elementwise_affine": true,
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+ "layernorm_eps": 1e-05,
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+ "mixer_layer": "depthwise_conv",
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+ "model_type": "vibevoice_semantic_tokenizer",
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+ "pad_mode": "constant",
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+ "std_dist_type": "none",
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+ "vae_dim": 128,
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+ "weight_init_value": 0.01
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+ },
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+ "semantic_vae_dim": 128,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.51.3"
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+ }
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model.safetensors.index.json ADDED
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preprocessor_config.json ADDED
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+ {
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+ "processor_class": "VibeVoiceProcessor",
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+ "speech_tok_compress_ratio": 3200,
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+ "db_normalize": true,
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+ "audio_processor": {
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+ "feature_extractor_type": "VibeVoiceTokenizerProcessor",
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+ "sampling_rate": 24000,
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+ "normalize_audio": true,
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+ "target_dB_FS": -25,
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+ "eps": 1e-06
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+ "language_model_pretrained_name": "Qwen/Qwen2.5-1.5B"
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+ }