This is the Windows app named Qwen2.5-Omni whose latest release can be downloaded as Qwen2.5-Omnisourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Qwen2.5-Omni
DESCRIPTION
Qwen2.5-Omni is an end-to-end multimodal flagship model in the Qwen series by Alibaba Cloud, designed to process multiple modalities (text, images, audio, video) and generate responses both as text and natural speech in streaming real-time. It supports “Thinker-Talker” architecture, and introduces innovations for aligning modalities over time (for example synchronizing video/audio), robust speech generation, and low-VRAM/quantized versions to make usage more accessible. It holds state-of-the-art performance in many multimodal benchmarks, particularly spoken language understanding, audio reasoning, image/video understanding, etc.
Features
- Handles diverse input modalities: text, image, audio, video
- Real-time streaming responses, including natural speech synthesis (text-to-speech) and chunked inputs for low latency interaction
- Quantized model versions (4-bit GPTQ / AWQ) that reduce GPU memory needs by >50% while retaining comparable performance on multimodal evaluations
- Very strong benchmark performance across modalities (audio understanding, speech recognition, image/video reasoning) and often outperforming or matching single-modality models at similar scale
- Novel architectural elements like TMRoPE (Time-aligned Multimodal RoPE) to align timestamps between modalities like video and audio
- Cookbooks, examples, Docker / web demo support, low-VRAM mode, deployment via ModelScope, Hugging Face, etc.
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/qwen2-5-omni.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
