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audio text to text by Qwen

Qwen2-Audio-7B-Instruct

Qwen2-Audio-7B-Instruct is Alibaba's multimodal model handling audio and text inputs, capable of audio analysis, speech-to-text transcription, and audio-grounded Q&A. It's instruction-tuned for dialog about audio content. Apache-2.0 licensed and compatible with the Transformers qwen2_audio model type.

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From the model card

Fields below are copied from the tags and counters on the HuggingFace repository Qwen/Qwen2-Audio-7B-Instruct at our last fetch. They are set by the uploader, not verified by us; rows with no tag are omitted. How this page is made.

Publisher (HF namespace)
Qwen
Pipeline tag
audio-text-to-text
Library
Transformers
Weight formats
safetensors
License tag
apache-2.0 — read the license file in the repo before relying on it
Language tags
English (en)
Papers cited
arXiv:2407.10759, arXiv:2311.07919
Downloads (HF counter at last fetch)
377,338
Likes (HF counter at last fetch)
551
Model card
https://huggingface.co/Qwen/Qwen2-Audio-7B-Instruct

Use cases

  • Audio understanding and description from arbitrary audio clips
  • Speech transcription paired with contextual Q&A
  • Meeting summarization from audio input
  • Multilingual speech analysis combining audio and text instructions

Pros

  • Apache-2.0 license
  • Handles both audio understanding and speech recognition in one model
  • Instruction-tuned for conversational audio Q&A
  • Transformers-compatible with standard qwen2_audio pipeline

Cons

  • 7B parameters means substantial VRAM requirement for audio+text inference
  • Audio processing adds latency compared to text-only models
  • Performance on music, environmental sounds, or non-speech audio varies significantly
  • Limited fine-tuning recipes for audio domain adaptation

Tags

transformerssafetensorsqwen2_audiotext2text-generationchataudioaudio-text-to-textenarxiv:2407.10759arxiv:2311.07919license:apache-2.0endpoints_compatibleregion:us