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

Comparison

Awesome-Chinese-LLM vs UER-py

Verdict

Pick Awesome-Chinese-LLM if awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment; pick UER-py if uER-py, an open-source PyTorch framework with a diverse model zoo for training and fine-tuning language models.

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

GraphCanon updated 1d

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
Slowing (98d since push)
As of 1w · github_public_v1
Dormant (836d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of 1w · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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
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
27
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
UER-py, an open-source PyTorch framework with a diverse model zoo for training and fine-tuning language models.

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

Trust and health

Maintenance

Awesome-Chinese-LLM
Slowing (36%)
UER-py
Dormant (18%)

Days since push

Awesome-Chinese-LLM
98d
UER-py
836d

Open issues (now)

Awesome-Chinese-LLM
27
UER-py
136

Stars delta

Awesome-Chinese-LLM
+53 (30d)
UER-py
+2 (30d)

Open issues delta

Awesome-Chinese-LLM
+3 (30d)
UER-py
0 (30d)

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, chatglm, llama, llm.
  • If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately.
  • More GitHub stars (23k vs 3.1k) - visibility, not fit.

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…

  • Pricing: The framework itself is free and open-source under Apache 2.0 license providing flexibility for modification with no costs..
  • Requirements: Min 8 GB RAM; - Requires Python environment setup; - Needs PyTorch installation.
  • Tags unique to UER-py: albert, bart, bert, classification.
  • - When you need to work exclusively within the PyTorch ecosystem, UER-py provides extensive support for various pre-trained models and tasks without the necessity of switching frameworks.

When NOT to use UER-py

  • - When you require more framework flexibility and are open to using TensorFlow or other deep learning libraries outside PyTorch.
  • - If your project is sensitive to maintenance updates but the UER-py repository has not seen recent active contribution, preferring a tool actively maintained might be better.
GitHubDetails

Explore

Awesome-Chinese-LLM trust report →UER-py trust report →LLM Frameworks category →Model Training 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 Aug 17, 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, chatglm, llama, llm; If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately; More GitHub stars (23k vs 3.1k) - visibility, not fit.
When should I choose UER-py over Awesome-Chinese-LLM?
Choose UER-py over Awesome-Chinese-LLM when Pricing: The framework itself is free and open-source under Apache 2.0 license providing flexibility for modification with no costs.; Requirements: Min 8 GB RAM; - Requires Python environment setup; - Needs PyTorch installation; Tags unique to UER-py: albert, bart, bert, classification; - When you need to work exclusively within the PyTorch ecosystem, UER-py provides extensive support for various pre-trained models and tasks without the necessity of switching frameworks.
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?
- When you require more framework flexibility and are open to using TensorFlow or other deep learning libraries outside PyTorch. - If your project is sensitive to maintenance updates but the UER-py repository has not seen recent active contribution, preferring a tool actively maintained might be better.
Is Awesome-Chinese-LLM or UER-py more popular on GitHub?
Awesome-Chinese-LLM has more GitHub stars (22,738 vs 3,112). 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: Slowing. 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.

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