---
title: "Qwen2.5-Omni"
description: "Alibaba Qwen omni-modal 7B: text, image, audio, and video in. WorldFoundry records the text-response path — prompt plus optional image or video, JSON out."
modelId: "qwen2.5-omni"
pageSource: authored
---
Qwen2.5-Omni is Alibaba Qwen's end-to-end omni-modal model. The official paper is [Qwen2.5-Omni Technical Report](https://arxiv.org/abs/2503.20215) (arXiv 2503.20215). Code and cards live at [QwenLM/Qwen2.5-Omni](https://github.com/QwenLM/Qwen2.5-Omni) and [Qwen/Qwen2.5-Omni-7B](https://huggingface.co/Qwen/Qwen2.5-Omni-7B). In this catalog it is an **understanding / reasoning** entry — not a video generator — with `model_response` artifacts. Aliases `qwen2p5-omni`, `qwen2p5_omni`, and `Qwen/Qwen2.5-Omni-7B` resolve here.
The paper describes a **Thinker-Talker** stack with **TMRoPE** (time-aligned multimodal RoPE) so audio and video share a clock. Officially the model perceives **text, images, audio, and video** and can stream **text and speech** together. Audio frames in TMRoPE are aligned at **40 ms** per temporal id. WorldFoundry only wires the **text-response** path: required `prompt`, optional `image` / `video`, artifact `qwen2.5-omni.json`. The recorded weight is the **7B** release. This catalog does not record a license; the Hugging Face card metadata is `other` — review it before production use.
## What it is for
Caption, interrogate, or QA stills and clips produced by other catalog entries. Recorded task profiles are `multimodal-reasoning` (default), `audio-reasoning`, `image-question-answering`, and `video-question-answering`. All four share the same input contract and write `qwen2.5-omni.json` through `Qwen25OmniPipeline`.
Stage `Qwen/Qwen2.5-Omni-7B` first. Missing weights surface at runtime; the runner does not download them. The 7B scale is intended for a single modern GPU.
`audio-reasoning` is a catalog task name. The recorded WorldFoundry fields still do not include an `audio` input — do not treat this page as a verified speech-in / speech-out recipe.
## Runtime contract
Backend is the official Hugging Face Transformers runtime (`official_hf_transformers_runtime`). Loading is `from_pretrained`. Status: **Runner parity pending** — a checkpoint-backed GPU artifact has not been verified in this workspace. Talker / streaming-speech decode is out of scope for the recorded route.
## Running in WorldFoundry
Launch `worldfoundry-eval run qwen2.5-omni --pipeline.task-profile multimodal-reasoning` in the unified environment `worldfoundry-unified-cu128` (Python 3.11, CUDA 12.8). Prepare / inspect helpers are `bash scripts/inference/prepare_model_infer.sh qwen2.5-omni` and `worldfoundry-eval zoo model-show --model-id qwen2.5-omni`.