Does Skywork-R1V support inference with vLLM, SGLang, or LMDeploy?
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- ai, machine-learning
Research direction
No files, tests, or entry points are identified. Start by reviewing the repository's existing inference documentation and configuration examples, then investigate the named vLLM, SGLang, and LMDeploy workflows. Done would mean a clear, maintained answer covering support status, limitations, configurations, and any planned native support.
Written by the indexing model from the issue text.
Description
Hi Skywork Team,
I’m exploring the Sky2ork-R1V model and would like to confirm its compatibility with popular inference frameworks like vLLM, SGLang, and LMDeploy. Specifically:
Are there any official examples, configurations, or documented workflows for running Skywork-R1V with these frameworks?
If not officially supported, has the community or team tested inference with these tools? Are there known limitations or workarounds?
Are there plans to add native support for these frameworks in future updates?
Any guidance or recommendations for efficient inference deployment (e.g., quantization support, optimized configurations) would be greatly appreciated.
Thank you for your work on this project!
- Dominant language
- Python
- Stars
- 3.2k
- Forks
- 282
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
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.
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