vllm-project/vllm

[Feature]: Qwen3 Omni Transcriptions

Open

#29,405 opened on Nov 25, 2025

View on GitHub
 (9 comments) (0 reactions) (1 assignee)Python (16,816 forks)batch import
feature requestgood first issue

Repository metrics

Stars
 (80,034 stars)
PR merge metrics
 (Avg merge 3d 17h) (993 merged PRs in 30d)

Description

🚀 The feature, motivation and pitch

Would love to see this model included in the supported as a Transcription model. According to the docs it looks like only 4 different models are supported as of now.

https://docs.vllm.ai/en/latest/models/supported_models/#transcription

Alternatives

No response

Additional context

No response

Before submitting a new issue...

  • Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the documentation page, which can answer lots of frequently asked questions.

Contributor guide

Research direction
Examine the existing transcription model implementations in vllm (e.g., whisper), understand the model registration and inference pipeline, then implement the necessary classes and configuration for Qwen3 Omni.
Tech stack
python
Domain
backendapi
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
PythonGitPyTorch
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60