Qwen2-Audio is an open-weight audio-language model that accepts audio and text inputs to generate text outputs, enabling voice chat and audio analysis.
Qwen2-Audio is the next iteration of the Qwen-Audio model, designed to advance towards an AGI system by understanding information from multiple modalities. It builds upon the Qwen large language model, extending its capabilities to include audio alongside vision. The model allows users to interact using voice instructions without needing separate Automatic Speech Recognition (ASR) modules. Key functionalities include voice chat, where users can speak to the model and receive text responses, and comprehensive audio analysis. This analysis covers various audio types such as speech, sound, and music, guided by text instructions. Qwen2-Audio supports over 8 languages and dialects, including Chinese, English, Cantonese, French, Italian, Spanish, German, and Japanese, making it a multilingual tool for audio-text interaction. The model's architecture starts with the Qwen language model and an audio encoder. It undergoes multi-task pretraining for audio-language alignment, followed by supervised finetuning and direct preference optimization to enhance its performance on downstream tasks and align with human preferences. Qwen2-Audio-7B and Qwen2-Audio-7B-Instruct are open-weight models available on Hugging Face and ModelScope, with a demo provided for user interaction.
Integrations: Hugging Face Transformers, ModelScope
Platforms: Web
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