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agiws
/
Kimi-Audio-7B-Instruct-Q4

Text-to-Speech
KimiAudio
Safetensors
English
Chinese
qwen2
audio
audio-language-model
speech-recognition
audio-understanding
audio-generation
chat
custom_code
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use agiws/Kimi-Audio-7B-Instruct-Q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • KimiAudio

    How to use agiws/Kimi-Audio-7B-Instruct-Q4 with KimiAudio:

    # Example usage for KimiAudio
    # pip install git+https://github.com/MoonshotAI/Kimi-Audio.git
    
    from kimia_infer.api.kimia import KimiAudio
    
    model = KimiAudio(model_path="agiws/Kimi-Audio-7B-Instruct-Q4", load_detokenizer=True)
    
    sampling_params = {
        "audio_temperature": 0.8,
        "audio_top_k": 10,
        "text_temperature": 0.0,
        "text_top_k": 5,
    }
    
    # For ASR
    asr_audio = "asr_example.wav"
    messages_asr = [
        {"role": "user", "message_type": "text", "content": "Please transcribe the following audio:"},
        {"role": "user", "message_type": "audio", "content": asr_audio}
    ]
    _, text = model.generate(messages_asr, **sampling_params, output_type="text")
    print(text)
    
    # For Q&A
    qa_audio = "qa_example.wav"
    messages_conv = [{"role": "user", "message_type": "audio", "content": qa_audio}]
    wav, text = model.generate(messages_conv, **sampling_params, output_type="both")
    sf.write("output_audio.wav", wav.cpu().view(-1).numpy(), 24000)
    print(text)
    
  • Notebooks
  • Google Colab
  • Kaggle
Kimi-Audio-7B-Instruct-Q4 / vocoder
483 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ArGrigorov's picture
ArGrigorov
Upload vocoder/model.pt with huggingface_hub
481ed19 verified 5 days ago
  • config.json
    1.4 kB
    Upload vocoder/config.json with huggingface_hub 5 days ago
  • model.pt
    483 MB
    xet
    Upload vocoder/model.pt with huggingface_hub 5 days ago