Home/Compare/Yi vs Qwen

Comparison

Yi vs Qwen

Verdict

Pick Yi if yi is a series of large language models trained from scratch, offering local deployment and inference capabilities. It is suitable for users who need to run large language models locally and have the necessary hardware,如; pick Qwen if qwen is a large language model developed by Alibaba Cloud, available in Python with support for PyTorch and Transformers.

Markdown twin · Yi alternatives · Qwen alternatives

GraphCanon updated Sep 30, 2026

32views this month

Yi logo

Yi

01-ai/Yi

★ 7.8kpushed Nov 27, 2024
vs
Qwen logo

Qwen

QwenLM/Qwen

★ 22kpushed Mar 5, 2026

Trust & integrity

SignalYiQwen
Maintenance
Dormant (659d since push)
As of Sep 18, 2026 · github_public_v1
Slowing (196d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 2026 · osv@v1
Published findings
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

Yi
A series of large language models trained from scratch
Qwen
Official repo of Qwen, a large language model by Alibaba Cloud

Stars

Yi
7.8k
Qwen
22k

Forks

Yi
499
Qwen
1.9k

Open issues

Yi
31
Qwen
43

Language

Yi
Jupyter Notebook
Qwen
Python

Adopt for

Yi
Yi is a series of large language models trained from scratch, offering local deployment and inference capabilities. It is suitable for users who need to run large language models locally and have the necessary hardware,如
Qwen
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

Persona

Yi
-
Qwen
-

Runtime

Yi
-
Qwen
-

License

Yi
Apache-2.0
Qwen
Apache-2.0

Last pushed

Yi
Nov 27, 2024
Qwen
Mar 5, 2026

Categories

Yi
Inference & Serving, LLM Frameworks
Qwen
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

Yi
Dormant (18%)
Qwen
Slowing (36%)

Days since push

Yi
659d
Qwen
196d

Open issues (now)

Yi
31
Qwen
43

Stars delta

Yi
+11 (30d)
Qwen
+177 (30d)

Open issues delta

Yi
0 (30d)
Qwen
-1 (30d)

Full report

Typed relationship

Yi alternative QwenQwen is another Chinese LLM developed by Alibaba Cloud. Both repositories aim to provide open-source large language models, making them alternatives in the market.

Shared compatibility

  • Python · Yi: Python runtime · Qwen: Python runtime

Choose Yi if…

  • Yi is primarily Jupyter Notebook; Qwen is Python.
  • Requirements: Min 80 GB RAM; Ensure Python 3.10 or later is installed.; Hardware requirements vary depending on the specific Yi model being used..
  • Qwen is another Chinese LLM developed by Alibaba Cloud. Both repositories aim to provide open-source large language models, making them alternatives in the market.
  • Tags unique to Yi: inference, jupyter-notebook, local-deployment, pip.
  • Yi ships Docker support for self-hosted deployment.
  • Use Yi if you require a large language model that can be deployed and run locally, especially on hardware like the A800 (80G).

When NOT to use Yi

  • Avoid Yi if your hardware does not meet the minimum requirements for running the models, such as the A800 (80G) for Yi-34B-Chat.
  • Do not use Yi if you prefer cloud-based solutions or do not have the capability to install and manage the local environment required for Yi.

Choose Qwen if…

  • Qwen is primarily Python; Yi is Jupyter Notebook.
  • 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..
  • Qwen is another Chinese LLM developed by Alibaba Cloud. Both repositories aim to provide open-source large language models, making them alternatives in the market.
  • Tags unique to Qwen: chinese, docker, flash-attention, llm.
  • When you need a large language model that supports Chinese language processing effectively.

When NOT to use Qwen

  • 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.
  • If your deployment environment does not support Docker, as Qwen heavily relies on Docker images for easy setup and deployment.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Yi 7.8k · Qwen 22k (synced Sep 20, 2026).

Common questions

What is the difference between Yi and Qwen?
Yi: A series of large language models trained from scratch. Qwen: Official repo of Qwen, a large language model by Alibaba Cloud. See the comparison table for live GitHub stats and shared categories.
When should I choose Yi over Qwen?
Choose Yi over Qwen when Yi is primarily Jupyter Notebook; Qwen is Python; Requirements: Min 80 GB RAM; Ensure Python 3.10 or later is installed.; Hardware requirements vary depending on the specific Yi model being used.; Qwen is another Chinese LLM developed by Alibaba Cloud. Both repositories aim to provide open-source large language models, making them alternatives in the market; Tags unique to Yi: inference, jupyter-notebook, local-deployment, pip; Yi ships Docker support for self-hosted deployment; Use Yi if you require a large language model that can be deployed and run locally, especially on hardware like the A800 (80G).
When should I choose Qwen over Yi?
Choose Qwen over Yi when Qwen is primarily Python; Yi is Jupyter Notebook; 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.; Qwen is another Chinese LLM developed by Alibaba Cloud. Both repositories aim to provide open-source large language models, making them alternatives in the market; Tags unique to Qwen: chinese, docker, flash-attention, llm; When you need a large language model that supports Chinese language processing effectively.
When should I avoid Yi?
Avoid Yi if your hardware does not meet the minimum requirements for running the models, such as the A800 (80G) for Yi-34B-Chat. Do not use Yi if you prefer cloud-based solutions or do not have the capability to install and manage the local environment required for Yi.
When should I avoid Qwen?
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. If your deployment environment does not support Docker, as Qwen heavily relies on Docker images for easy setup and deployment.
Is Yi or Qwen more popular on GitHub?
Qwen has more GitHub stars (21,772 vs 7,833). Stars measure visibility, not whether either tool fits your constraints.
Are Yi and Qwen open source?
Yes - both are open-source projects on GitHub (Yi: Apache-2.0, Qwen: Apache-2.0).
Where can I find alternatives to Yi or Qwen?
GraphCanon lists graph-backed alternatives at Yi alternatives and Qwen alternatives (Yi markdown twin, Qwen markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, Yi or Qwen?
Yi: Dormant. Qwen: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for Yi and Qwen?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Yi trust report; Qwen trust report.

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