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+ ---
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+ license: apache-2.0
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+ datasets:
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+ - VocalNet/VoiceAssitant-430K-vocalnet
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+ - VocalNet/UltraChat-vocalnet
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+ language:
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+ - en
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+ base_model:
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+ - meta-llama/Llama-3.1-8B-Instruct
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+ ---
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+ ## 🎧 VocalNet-8B Model Card
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+
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+ **VocalNet-8B** is a high-performance, low-latency speech large language model (LLM) optimized for real-time voice interaction. Built upon [LLaMA-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct), it employs **multi-token prediction (MTP)** to significantly enhance generation speed and quality, surpassing most mainstream speech and omni-modal LLMs. 🚀
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+
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+ ### 📂 Paper, Code and Model Access
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+ - **Arxiv**: [VocalNet Report](https://arxiv.org/abs/2504.04060) 📖
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+ - **GitHub**: [VocalNet Repository](https://github.com/SJTU-OmniAgent/VocalNet) 🌐
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+ - **HuggingFace**: [VocalNet/VocalNet-8B](https://huggingface.co/VocalNet/VocalNet-8B) 🤗
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+ - **ModelScope**: [VocalNet/VocalNet-8B](https://www.modelscope.cn/models/VocalNet/VocalNet-8B) 🔮
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+
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+ ### 🔧 Repository Download and Environment Setup
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+
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+ To get started with **VocalNet-8B**, clone the repository and set up the environment as follows. 🛠️
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+
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+ 1. **Clone the Repository**:
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+ ```bash
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+ git clone https://github.com/SJTU-OmniAgent/VocalNet.git
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+ cd VocalNet
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+ ```
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+
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+ 2. **Create and Activate Environment**:
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+ ```bash
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+ conda create -n vocalnet python==3.10
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+ conda activate vocalnet
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+ ```
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+
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+ 3. **Install Dependencies**:
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+ ```bash
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+ pip install --upgrade pip
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+ conda install pytorch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 pytorch-cuda=12.1 -c pytorch -c nvidia
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+ pip install -e .
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+ ```
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+
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+ 4. **Optional: Install Training Packages**:
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+ If you plan to train the model, install additional packages:
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+ ```bash
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+ pip install -e ".[train]"
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+ pip install flash-attn --no-build-isolation
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+ ```
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+
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+ ### 📥 Download Instructions
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+
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+ **Via Huggingface Cli**:
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+ ```bash
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+ pip install -U huggingface_hub
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+ huggingface-cli download VocalNet/VocalNet-8B --local-dir ./checkpoints/
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+ ```
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+ **Via Snapshot Download**:
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+ ```bash
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+ pip install -U huggingface_hub
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+ ```
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+ ```python
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+ from huggingface_hub import snapshot_download
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+ snapshot_download(
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+ repo_id="VocalNet/VocalNet-8B",
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+ local_dir="./checkpoints/",
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+ resume_download=True
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+ )
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+ ```
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+ **Via Git**:
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+ ```bash
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+ git lfs install
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+ git clone https://huggingface.co/VocalNet/VocalNet-8B
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+ ```
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+
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+ ### 🛠️ Dependencies
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+ - **Speech Encoder**: [Whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) 🎤
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+ - **Vocoder**: [CosyVoice2-0.5B](https://huggingface.co/FunAudioLLM/CosyVoice2-0.5B) for converting speech tokens to audio waveforms. 🔊
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+
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+ ### 🔄 Local Inference
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+
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+ To perform inference with **VocalNet-8B**, follow these steps to set up and run the model locally. 📡
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+
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+ 1. **Model Preparation**:
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+ - Download **VocalNet-8B** from [HuggingFace](https://huggingface.co/VocalNet/VocalNet-8B) or [ModelScope](https://www.modelscope.cn/models/VocalNet/VocalNet-8B). 📦
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+ - Download the **Whisper-large-v3** speech encoder from [HuggingFace](https://huggingface.co/openai/whisper-large-v3) and place it in the `./models/speech_encoder/` directory. 🎤
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+
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+ 2. **CosyVoice Preparation**:
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+ - VocalNet-8B uses **CosyVoice2-0.5B** to convert generated speech tokens into audio waveforms. Download it from [HuggingFace](https://huggingface.co/FunAudioLLM/CosyVoice2-0.5B). 🔊
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+
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+ 3. **Path Modification**:
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+ - Update the paths in `omni_speech/infer/vocalnet.py` to point to the downloaded models:
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+ ```python
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+ COSYVOICE_MODEL="" # Path to CosyVoice2-0.5B, e.g., /workspace/CosyVoice/pretrained_models/CosyVoice2-0.5B-VocalNet
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+ VOCALNET_MODEL="" # Path to VocalNet-8B, e.g., ./checkpoints/VocalNet-8B
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+ ```
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+
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+ 4. **Run Inference**:
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+ - For **speech-to-text (S2T)** inference:
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+ ```bash
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+ python3 omni_speech/infer/vocalnet.py --query_audio ./omni_speech/infer/llama_questions_42.wav
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+ ```
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+ - For **speech-to-speech (S2S)** inference:
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+ ```bash
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+ python3 omni_speech/infer/vocalnet.py --query_audio ./omni_speech/infer/llama_questions_42.wav --s2s --save_dir ./
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+ ```
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+
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+ ### 📊 Performance Evaluation
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+ VocalNet-8B was evaluated on [OpenAudioBench](https://huggingface.co/datasets/baichuan-inc/OpenAudioBench), covering AlpacaEval, LLaMA Questions, TriviaQA, and Web Questions. **Bold** indicates the optimal result in each subgroup.
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+
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+ #### Overall Performance
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+ <div align="center">
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+ <table style="margin: 0 auto; text-align: center; border-collapse: collapse; font-size: 14px;">
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+ <thead>
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+ <tr style="background-color: #f2f2f2;">
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+ <th style="padding: 10px; border: 1px solid #ddd;">Model</th>
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+ <th style="padding: 10px; border: 1px solid #ddd;">LLM Size</th>
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+ <th style="padding: 10px; border: 1px solid #ddd;">Modality</th>
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+ <th style="padding: 10px; border: 1px solid #ddd;">AlpacaEval</th>
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+ <th style="padding: 10px; border: 1px solid #ddd;">LLaMA Questions</th>
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+ <th style="padding: 10px; border: 1px solid #ddd;">TriviaQA</th>
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+ <th style="padding: 10px; border: 1px solid #ddd;">Web Questions</th>
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+ </tr>
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+ </thead>
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+ <tbody>
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+ <tr>
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+ <td colspan="7" style="padding: 10px; border: 1px solid #ddd; font-weight: bold; background-color: #e6f3ff;">Base Models</td>
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+ </tr>
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+ <tr>
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+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">LLaMA-Omni</td>
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+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">8B</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">s→t</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">5.31</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">69.7</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">4.44</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">5.44</td>
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+ </tr>
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+ <tr>
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+ <td style="padding: 10px; border: 1px solid #ddd;">s→s</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">3.89</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">55.1</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">2.44</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">4.00</td>
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+ </tr>
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+ <tr>
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+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">Freeze-Omni</td>
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+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">7B</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">s→t</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">4.51</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">77.7</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">5.32</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">6.41</td>
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+ </tr>
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+ <tr>
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+ <td style="padding: 10px; border: 1px solid #ddd;">s→s</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">2.99</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">60.2</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">3.53</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">4.78</td>
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+ </tr>
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+ <tr>
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+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">GLM-4-Voice</td>
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+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">9B</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">s→t</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">5.86</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">77.4</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">4.95</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">5.56</td>
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+ </tr>
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+ <tr>
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+ <td style="padding: 10px; border: 1px solid #ddd;">s→s</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">5.27</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">64.3</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">4.63</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">5.40</td>
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+ </tr>
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+ <tr>
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+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">Baichuan-Omni-1.5</td>
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+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">7B</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">s→t</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">5.20</td>
182
+ <td style="padding: 10px; border: 1px solid #ddd;">77.6</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">5.72</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">6.12</td>
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+ </tr>
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+ <tr>
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+ <td style="padding: 10px; border: 1px solid #ddd;">s→s</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">4.10</td>
189
+ <td style="padding: 10px; border: 1px solid #ddd;">61.2</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">4.13</td>
191
+ <td style="padding: 10px; border: 1px solid #ddd;">5.18</td>
192
+ </tr>
193
+ <tr>
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+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">MiniCPM-o</td>
195
+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">8B</td>
196
+ <td style="padding: 10px; border: 1px solid #ddd;">s→t</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">6.13</td>
198
+ <td style="padding: 10px; border: 1px solid #ddd;">77.2</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;"><b>6.43</b></td>
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+ <td style="padding: 10px; border: 1px solid #ddd;"><b>7.16</b></td>
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+ </tr>
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+ <tr>
203
+ <td style="padding: 10px; border: 1px solid #ddd;">s→s</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">4.95</td>
205
+ <td style="padding: 10px; border: 1px solid #ddd;">65.8</td>
206
+ <td style="padding: 10px; border: 1px solid #ddd;">4.99</td>
207
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>6.22</u></td>
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+ </tr>
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+ <tr>
210
+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">Minmo*</td>
211
+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">8B</td>
212
+ <td style="padding: 10px; border: 1px solid #ddd;">s→t</td>
213
+ <td style="padding: 10px; border: 1px solid #ddd;">-</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">78.9</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">4.83</td>
216
+ <td style="padding: 10px; border: 1px solid #ddd;">5.50</td>
217
+ </tr>
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+ <tr>
219
+ <td style="padding: 10px; border: 1px solid #ddd;">s→s</td>
220
+ <td style="padding: 10px; border: 1px solid #ddd;"><b>6.48</b></td>
221
+ <td style="padding: 10px; border: 1px solid #ddd;">64.1</td>
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+ <td style="padding: 10px; border: 1px solid #ddd;">3.75</td>
223
+ <td style="padding: 10px; border: 1px solid #ddd;">3.99</td>
224
+ </tr>
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+ <tr>
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+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">Qwen2.5-Omni</td>
227
+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">8B</td>
228
+ <td style="padding: 10px; border: 1px solid #ddd;">s→t</td>
229
+ <td style="padding: 10px; border: 1px solid #ddd;">6.01</td>
230
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>79.0</u></td>
231
+ <td style="padding: 10px; border: 1px solid #ddd;">5.89</td>
232
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>6.88</u></td>
233
+ </tr>
234
+ <tr>
235
+ <td style="padding: 10px; border: 1px solid #ddd;">s→s</td>
236
+ <td style="padding: 10px; border: 1px solid #ddd;">5.73</td>
237
+ <td style="padding: 10px; border: 1px solid #ddd;"><b>76.3</b></td>
238
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>5.59</u></td>
239
+ <td style="padding: 10px; border: 1px solid #ddd;"><b>6.70</b></td>
240
+ </tr>
241
+ <tr>
242
+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">VocalNet-8B (VA)</td>
243
+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">8B</td>
244
+ <td style="padding: 10px; border: 1px solid #ddd;">s→t</td>
245
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>7.05</u></td>
246
+ <td style="padding: 10px; border: 1px solid #ddd;">77.1</td>
247
+ <td style="padding: 10px; border: 1px solid #ddd;">6.15</td>
248
+ <td style="padding: 10px; border: 1px solid #ddd;">6.34</td>
249
+ </tr>
250
+ <tr>
251
+ <td style="padding: 10px; border: 1px solid #ddd;">s→s</td>
252
+ <td style="padding: 10px; border: 1px solid #ddd;">6.30</td>
253
+ <td style="padding: 10px; border: 1px solid #ddd;">71.4</td>
254
+ <td style="padding: 10px; border: 1px solid #ddd;">5.24</td>
255
+ <td style="padding: 10px; border: 1px solid #ddd;">5.81</td>
256
+ </tr>
257
+ <tr>
258
+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">VocalNet-8B</td>
259
+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">8B</td>
260
+ <td style="padding: 10px; border: 1px solid #ddd;">s→t</td>
261
+ <td style="padding: 10px; border: 1px solid #ddd;"><b>7.12</b></td>
262
+ <td style="padding: 10px; border: 1px solid #ddd;"><b>79.5</b></td>
263
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>6.24</u></td>
264
+ <td style="padding: 10px; border: 1px solid #ddd;">6.48</td>
265
+ </tr>
266
+ <tr>
267
+ <td style="padding: 10px; border: 1px solid #ddd;">s→s</td>
268
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>6.37</u></td>
269
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>73.1</u></td>
270
+ <td style="padding: 10px; border: 1px solid #ddd;"><b>5.67</b></td>
271
+ <td style="padding: 10px; border: 1px solid #ddd;">6.16</td>
272
+ </tr>
273
+ </tbody>
274
+ </table>
275
+ </div>
276
+
277
+ #### Response Alignment and Acoustic Quality
278
+ <div align="center">
279
+ <table style="margin: 0 auto; text-align: center; border-collapse: collapse; font-size: 14px;">
280
+ <tbody>
281
+ <tr style="background-color: #f2f2f2;">
282
+ <td rowspan="2" style="padding: 10px; border: 1px solid #ddd;">Model</td>
283
+ <td colspan="2" style="padding: 10px; border: 1px solid #ddd;">AlpacaEval</td>
284
+ <td colspan="2" style="padding: 10px; border: 1px solid #ddd;">LLaMA Questions</td>
285
+ <td colspan="2" style="padding: 10px; border: 1px solid #ddd;">TriviaQA</td>
286
+ <td colspan="2" style="padding: 10px; border: 1px solid #ddd;">Web Questions</td>
287
+ <td colspan="2" style="padding: 10px; border: 1px solid #ddd;">Avg</td>
288
+ </tr>
289
+ <tr>
290
+ <td style="padding: 10px; border: 1px solid #ddd;">WER</td>
291
+ <td style="padding: 10px; border: 1px solid #ddd;">UTMOS</td>
292
+ <td style="padding: 10px; border: 1px solid #ddd;">WER</td>
293
+ <td style="padding: 10px; border: 1px solid #ddd;">UTMOS</td>
294
+ <td style="padding: 10px; border: 1px solid #ddd;">WER</td>
295
+ <td style="padding: 10px; border: 1px solid #ddd;">UTMOS</td>
296
+ <td style="padding: 10px; border: 1px solid #ddd;">WER</td>
297
+ <td style="padding: 10px; border: 1px solid #ddd;">UTMOS</td>
298
+ <td style="padding: 10px; border: 1px solid #ddd;">WER</td>
299
+ <td style="padding: 10px; border: 1px solid #ddd;">UTMOS</td>
300
+ </tr>
301
+ <tr>
302
+ <td colspan="11" style="padding: 10px; border: 1px solid #ddd; font-weight: bold; background-color: #e6f3ff;">Base Models</td>
303
+ </tr>
304
+ <tr>
305
+ <td style="padding: 10px; border: 1px solid #ddd;">LLaMA-Omni</td>
306
+ <td style="padding: 10px; border: 1px solid #ddd;">6.00</td>
307
+ <td style="padding: 10px; border: 1px solid #ddd;">3.942</td>
308
+ <td style="padding: 10px; border: 1px solid #ddd;">10.00</td>
309
+ <td style="padding: 10px; border: 1px solid #ddd;">4.003</td>
310
+ <td style="padding: 10px; border: 1px solid #ddd;">20.93</td>
311
+ <td style="padding: 10px; border: 1px solid #ddd;">3.965</td>
312
+ <td style="padding: 10px; border: 1px solid #ddd;">14.60</td>
313
+ <td style="padding: 10px; border: 1px solid #ddd;">3.935</td>
314
+ <td style="padding: 10px; border: 1px solid #ddd;">15.90</td>
315
+ <td style="padding: 10px; border: 1px solid #ddd;">3.956</td>
316
+ </tr>
317
+ <tr>
318
+ <td style="padding: 10px; border: 1px solid #ddd;">Freeze-Omni</td>
319
+ <td style="padding: 10px; border: 1px solid #ddd;">14.33</td>
320
+ <td style="padding: 10px; border: 1px solid #ddd;">4.377</td>
321
+ <td style="padding: 10px; border: 1px solid #ddd;">14.20</td>
322
+ <td style="padding: 10px; border: 1px solid #ddd;">4.417</td>
323
+ <td style="padding: 10px; border: 1px solid #ddd;">20.39</td>
324
+ <td style="padding: 10px; border: 1px solid #ddd;">4.404</td>
325
+ <td style="padding: 10px; border: 1px solid #ddd;">18.25</td>
326
+ <td style="padding: 10px; border: 1px solid #ddd;">4.398</td>
327
+ <td style="padding: 10px; border: 1px solid #ddd;">18.31</td>
328
+ <td style="padding: 10px; border: 1px solid #ddd;">4.401</td>
329
+ </tr>
330
+ <tr>
331
+ <td style="padding: 10px; border: 1px solid #ddd;">GLM-4-Voice</td>
332
+ <td style="padding: 10px; border: 1px solid #ddd;">18.71</td>
333
+ <td style="padding: 10px; border: 1px solid #ddd;">4.025</td>
334
+ <td style="padding: 10px; border: 1px solid #ddd;">14.45</td>
335
+ <td style="padding: 10px; border: 1px solid #ddd;">4.152</td>
336
+ <td style="padding: 10px; border: 1px solid #ddd;">8.33</td>
337
+ <td style="padding: 10px; border: 1px solid #ddd;">4.306</td>
338
+ <td style="padding: 10px; border: 1px solid #ddd;">6.08</td>
339
+ <td style="padding: 10px; border: 1px solid #ddd;">4.214</td>
340
+ <td style="padding: 10px; border: 1px solid #ddd;">8.99</td>
341
+ <td style="padding: 10px; border: 1px solid #ddd;">4.228</td>
342
+ </tr>
343
+ <tr>
344
+ <td style="padding: 10px; border: 1px solid #ddd;">Baichuan-Omni-1.5</td>
345
+ <td style="padding: 10px; border: 1px solid #ddd;">20.84</td>
346
+ <td style="padding: 10px; border: 1px solid #ddd;">4.082</td>
347
+ <td style="padding: 10px; border: 1px solid #ddd;">22.82</td>
348
+ <td style="padding: 10px; border: 1px solid #ddd;">4.332</td>
349
+ <td style="padding: 10px; border: 1px solid #ddd;">22.36</td>
350
+ <td style="padding: 10px; border: 1px solid #ddd;">4.401</td>
351
+ <td style="padding: 10px; border: 1px solid #ddd;">23.29</td>
352
+ <td style="padding: 10px; border: 1px solid #ddd;">4.350</td>
353
+ <td style="padding: 10px; border: 1px solid #ddd;">22.67</td>
354
+ <td style="padding: 10px; border: 1px solid #ddd;">4.347</td>
355
+ </tr>
356
+ <tr>
357
+ <td style="padding: 10px; border: 1px solid #ddd;">MiniCPM-o</td>
358
+ <td style="padding: 10px; border: 1px solid #ddd;">15.35</td>
359
+ <td style="padding: 10px; border: 1px solid #ddd;">4.102</td>
360
+ <td style="padding: 10px; border: 1px solid #ddd;">5.73</td>
361
+ <td style="padding: 10px; border: 1px solid #ddd;">4.228</td>
362
+ <td style="padding: 10px; border: 1px solid #ddd;">8.08</td>
363
+ <td style="padding: 10px; border: 1px solid #ddd;">4.128</td>
364
+ <td style="padding: 10px; border: 1px solid #ddd;">8.94</td>
365
+ <td style="padding: 10px; border: 1px solid #ddd;">4.125</td>
366
+ <td style="padding: 10px; border: 1px solid #ddd;">8.72</td>
367
+ <td style="padding: 10px; border: 1px solid #ddd;">4.137</td>
368
+ </tr>
369
+ <tr>
370
+ <td style="padding: 10px; border: 1px solid #ddd;">Qwen2.5-Omni</td>
371
+ <td style="padding: 10px; border: 1px solid #ddd;"><b>2.41</b></td>
372
+ <td style="padding: 10px; border: 1px solid #ddd;">4.299</td>
373
+ <td style="padding: 10px; border: 1px solid #ddd;"><b>0.93</b></td>
374
+ <td style="padding: 10px; border: 1px solid #ddd;">4.315</td>
375
+ <td style="padding: 10px; border: 1px solid #ddd;"><b>1.13</b></td>
376
+ <td style="padding: 10px; border: 1px solid #ddd;">4.339</td>
377
+ <td style="padding: 10px; border: 1px solid #ddd;">4.68</td>
378
+ <td style="padding: 10px; border: 1px solid #ddd;">4.363</td>
379
+ <td style="padding: 10px; border: 1px solid #ddd;"><b>2.63</b></td>
380
+ <td style="padding: 10px; border: 1px solid #ddd;">4.342</td>
381
+ </tr>
382
+ <tr>
383
+ <td style="padding: 10px; border: 1px solid #ddd;">VocalNet-8B (VA)</td>
384
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>2.65</u></td>
385
+ <td style="padding: 10px; border: 1px solid #ddd;"><b>4.490</b></td>
386
+ <td style="padding: 10px; border: 1px solid #ddd;">3.00</td>
387
+ <td style="padding: 10px; border: 1px solid #ddd;"><b>4.503</b></td>
388
+ <td style="padding: 10px; border: 1px solid #ddd;">5.02</td>
389
+ <td style="padding: 10px; border: 1px solid #ddd;"><b>4.499</b></td>
390
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>4.21</u></td>
391
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>4.485</u></td>
392
+ <td style="padding: 10px; border: 1px solid #ddd;">4.26</td>
393
+ <td style="padding: 10px; border: 1px solid #ddd;"><b>4.493</b></td>
394
+ </tr>
395
+ <tr>
396
+ <td style="padding: 10px; border: 1px solid #ddd;">VocalNet-8B</td>
397
+ <td style="padding: 10px; border: 1px solid #ddd;">4.71</td>
398
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>4.489</u></td>
399
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>2.68</u></td>
400
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>4.500</u></td>
401
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>4.04</u></td>
402
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>4.482</u></td>
403
+ <td style="padding: 10px; border: 1px solid #ddd;"><b>3.11</b></td>
404
+ <td style="padding as: 10px; border: 1px solid #ddd;"><b>4.492</b></td>
405
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>3.56</u></td>
406
+ <td style="padding: 10px; border: 1px solid #ddd;"><u>4.489</u></td>
407
+ </tr>
408
+ </tbody>
409
+ </table>
410
+ </div>
411
+
412
+ ### ✍️ Citation
413
+ If you find our work useful, please cite:
414
+ ```bib
415
+ @article{wang2025vocalnet,
416
+ title={VocalNet: Speech LLM with Multi-Token Prediction for Faster and High-Quality Generation},
417
+ author={Wang, Yuhao and Liu, Heyang and Cheng, Ziyang and Wu, Ronghua and Gu, Qunshan and Wang, Yanfeng and Wang, Yu},
418
+ journal={arXiv preprint arXiv:2504.04060},
419
+ year={2025}
420
+ }
421
+ ```