GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Qwen-VL by Alibaba Cloud is a large vision-language model suitable for tasks blending image understanding with NLP, available under flexible licensing.
Good fit when
- When needing to integrate visual inputs with natural language in AI applications
- For tasks requiring state-of-the-art performance in vision-language modeling
Avoid when
- If the application requires only traditional computer vision without language integration
- In scenarios where Python 3.8 or newer and PyTorch 1.12+ are not feasible for installation
- Requirements:
- Requires python >=3.8, pytorch>=1.12 (cuda >=11.4 recommended)
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (740d since push)
- As of Aug 17, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 17, 2026
- Security (OSV)
- 44 low (44 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install Qwen-VL PyPIHow it fits your stack(6)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Qwen-VL (通义千问-VL) is a chat and pretrained large vision-language model proposed by Alibaba Cloud, designed for integrating vision and natural language processing tasks. Repository includes both the base Qwen-VL model and its chat variant.
Capability facts
- Languages
- python
Source: github.language · Aug 17, 2026
Categories
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 17, 2026)
* python 3.8 and aboveSource link
Tags
README
Requirements python 3.8 and above pytorch 1.12 and above, 2.0 and above are recommended CUDA 11.4 and above are recommended (this is for GPU users) <br License Agreement Researchers and developers are free to use the codes and model weights of both Qwen VL and Qwen VL Chat. We al...
For agents
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