GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Qwen is a large language model developed by Alibaba Cloud, available in Python with support for PyTorch and Transformers. It offers Docker images for easy deployment and supports various deployment options including Open
Good fit when
- When you need a large language model that supports Chinese language processing effectively.
- If you are working with PyTorch and Transformers and want a model that integrates seamlessly with these frameworks.
Avoid when
- If your project strictly requires models under a different license, as Qwen is under the Apache-2.0 License with specific commercial use agreements.
- When you need a model that does not require CUDA 11.4 or above for GPU acceleration, as Qwen recommends this for optimal performance.
- Requirements:
- Requires Docker; Requires Python 3.8 and above.; PyTorch 1.12 and above is required, with 2.0 and above recommended.; Transformers 4.32 and above are required.; CUDA 11.4 and above are recommended for GPU users.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (196d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- 50 low (50 low)
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install Qwen PyPIHow it fits your stack(18)
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Evidence and technical details
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Overview
Qwen is a large language model and chat model developed by Alibaba Cloud, available in Python with support for PyTorch and Transformers. It includes Docker images for easy deployment and supports various deployment options including OpenAI API, Web UI, and CLI demo.
Capability facts
- Languages
- python
Source: github.language · Sep 18, 2026
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
nly need to install the driver and download model files to launch demos, deploy OpenAI API, and finetune the model.Source link
Source: README excerpt (regex_v1, Sep 18, 2026)
* python 3.8 and aboveSource link
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README
Requirements python 3.8 and above pytorch 1.12 and above, 2.0 and above are recommended transformers 4.32 and above CUDA 11.4 and above are recommended (this is for GPU users, flash attention users, etc.) <br pip install csrc/rotary bash IMAGE NAME=qwenllm/qwen:cu117 PORT=8901 CH...
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