Kimi-Audio Model for Audio Understanding, Generation, and Conversation - Install Locally
AI Summary
Video Summary: Kim Audio 7 Billion Instruct Model by Moonshot AI
- Introduction
- Fad Miraza discusses the Kim Audio 7 billion instruct model, an open-source audio foundation model that excels in audio understanding, generation, and conversation.
- Features include speech recognition, audio question answering, audio captioning, speech emotion recognition, sound event and scene classification, text-to-speech, and voice conversion.
- Installation Process
- Instructions provided to install the model locally using Ubuntu and an Nvidia RTX 6000 GPU.
- Virtual environment setup and repository cloning required.
- Prerequisites installed via
requirements.txt.- Users need to log into Hugging Face with a free token to download the model.
- Model Loading and Issues
- Initial attempts on a 48 GB GPU failed due to out-of-memory errors.
- Successful loading on a larger 80 GB GPU, which also downloaded the Whisper model from OpenAI.
- Model Inference
- Demonstrated functionality with transcription of audio input and audio-to-audio outputs.
- Transcriptions performed accurately with good audio quality.
- The model responds to audio prompts, generating both text and audio outputs.
- Multilingual Support
- Mainly supports English and Chinese, with limited success in Spanish and French, errors encountered in Arabic and other languages.
- Some of the multilingual functionality is unavailable or inconsistent.
- Conclusion
- Overall quality perceived as good, but model size and VRAM requirements considered excessive.
- Encourages viewers to provide their opinions in the comments.