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Home/Compare/Awesome-Chinese-LLM vs UER-py

Comparison

Awesome-Chinese-LLM vs UER-py

Verdict

Pick Awesome-Chinese-LLM when tags unique to Awesome-Chinese-LLM: awesome-lists, llama, llm, nlp; pick UER-py when tags unique to UER-py: bert, albert, fine-tuning, clue.

Markdown twin · Awesome-Chinese-LLM alternatives · UER-py alternatives

GraphCanon updated today

Awesome-Chinese-LLM logo

Awesome-Chinese-LLM

AiHubCN/Awesome-Chinese-LLM

★ 23kpushed May 10, 2026
vs
UER-py logo

UER-py

dbiir/UER-py

★ 3.1kpushed May 9, 2024

Trust & integrity

SignalAwesome-Chinese-LLMUER-py
Maintenance
Steady (62d since push)
As of today · github_public_v1
Dormant (793d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none
Awesome-Chinese-LLM trust reportUER-py trust reportTrust methodology

Tagline

Awesome-Chinese-LLM
整理开源的中文大语言模型
UER-py
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

Stars

Awesome-Chinese-LLM
23k
UER-py
3.1k

Forks

Awesome-Chinese-LLM
2.1k
UER-py
520

Open issues

Awesome-Chinese-LLM
23
UER-py
136

Language

Awesome-Chinese-LLM
-
UER-py
Python

Adopt for

Awesome-Chinese-LLM
Awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment.
UER-py
-

Persona

Awesome-Chinese-LLM
-
UER-py
-

Runtime

Awesome-Chinese-LLM
-
UER-py
-

License

Awesome-Chinese-LLM
-
UER-py
Apache-2.0

Last pushed

Awesome-Chinese-LLM
May 10, 2026
UER-py
May 9, 2024

Categories

Awesome-Chinese-LLM
Model Training, LLM Frameworks
UER-py
Model Training

Trust and health

Maintenance

Awesome-Chinese-LLM
Steady (60%)
UER-py
Dormant (18%)

Days since push

Awesome-Chinese-LLM
62d
UER-py
793d

Open issues (now)

Awesome-Chinese-LLM
23
UER-py
136

Owner type

Awesome-Chinese-LLM
User
UER-py
Organization

Full report

Awesome-Chinese-LLM
Trust report
UER-py
Trust report

Choose Awesome-Chinese-LLM if…

  • Tags unique to Awesome-Chinese-LLM: awesome-lists, llama, llm, nlp.
  • Also covers LLM Frameworks.
  • If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately.

When NOT to use Awesome-Chinese-LLM

  • Avoid if your project necessitates large-scale, highly advanced computational capabilities or you are working with languages other than Chinese.
  • If your deployment scenario is limited to public cloud services only without the option for private deployment.
GitHubDetails

Choose UER-py if…

  • Tags unique to UER-py: bert, albert, fine-tuning, clue.

When NOT to use UER-py

  • Last GitHub push was 793 days ago (dormant maintenance, May 9, 2024). Validate activity before betting a new project on UER-py.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
GitHubDetails

Explore

Awesome-Chinese-LLM trust report →UER-py trust report →Model Training category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: Awesome-Chinese-LLM 23k · UER-py 3.1k (synced Jul 11, 2026).

Common questions

What is the difference between Awesome-Chinese-LLM and UER-py?
Awesome-Chinese-LLM: 整理开源的中文大语言模型. UER-py: Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo. See the comparison table for live GitHub stats and shared categories.
When should I choose Awesome-Chinese-LLM over UER-py?
Choose Awesome-Chinese-LLM over UER-py when Tags unique to Awesome-Chinese-LLM: awesome-lists, llama, llm, nlp; Also covers LLM Frameworks; If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately.
When should I choose UER-py over Awesome-Chinese-LLM?
Choose UER-py over Awesome-Chinese-LLM when Tags unique to UER-py: bert, albert, fine-tuning, clue.
When should I avoid Awesome-Chinese-LLM?
Avoid if your project necessitates large-scale, highly advanced computational capabilities or you are working with languages other than Chinese. If your deployment scenario is limited to public cloud services only without the option for private deployment.
When should I avoid UER-py?
Last GitHub push was 793 days ago (dormant maintenance, May 9, 2024). Validate activity before betting a new project on UER-py. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Is Awesome-Chinese-LLM or UER-py more popular on GitHub?
Awesome-Chinese-LLM has more GitHub stars (22,670 vs 3,109). Stars measure visibility, not whether either tool fits your constraints.
Are Awesome-Chinese-LLM and UER-py open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to Awesome-Chinese-LLM or UER-py?
GraphCanon lists graph-backed alternatives at Awesome-Chinese-LLM alternatives and UER-py alternatives (Awesome-Chinese-LLM markdown twin, UER-py 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, Awesome-Chinese-LLM or UER-py?
Awesome-Chinese-LLM: Steady. UER-py: Dormant. 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 Awesome-Chinese-LLM and UER-py?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-Chinese-LLM trust report; UER-py trust report.