Request for qwen_2.5-omni-3B deploying with xnnpack backend
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- Dominant language
- Python
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Description
🚀 The feature, motivation and pitch
If I want to deploy the qwen_2.5-omni-3B model （https://huggingface.co/Qwen/Qwen2.5-Omni-3B）on the Android side, like xnnpack or qnn backend, what should I do？ Is there a development manual to guide development or some advice？ thanks very much.
Alternatives
No response
Additional context
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RFC (Optional)
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cc @mergennachin @iseeyuan @lucylq @helunwencser @tarun292 @kimishpatel @jackzhxng
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the Qwen2.5-Omni-3B model and the Android deployment context described in the issue, then investigate the requested XNNPACK backend path. The issue names no repository files, tests, or entry points and provides no acceptance criteria; done would require an agreed implementation or development guide for this deployment.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- android, machine-learning
- Domain
- ai, mobile-dev
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100