GraphCanon
Home/Compare/Awesome-Chinese-LLM vs Llama-Chinese

Comparison

Awesome-Chinese-LLM vs Llama-Chinese

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 Llama-Chinese if llama-Chinese is designed to offer a development and deployment environment for Chinese-optimized Llama large language models, using Docker for quick setup.

Markdown twin · Awesome-Chinese-LLM alternatives · Llama-Chinese alternatives

GraphCanon updated 2d

Awesome-Chinese-LLM logo

Awesome-Chinese-LLM

AiHubCN/Awesome-Chinese-LLM

★ 23kpushed May 10, 2026
vs
Llama-Chinese logo

Llama-Chinese

LlamaChinese/Llama-Chinese

★ 15kpushed Apr 6, 2025

Trust & integrity

SignalAwesome-Chinese-LLMLlama-Chinese
Maintenance
Slowing (98d since push)
As of 4d · github_public_v1
Dormant (499d since push)
As of 2d · github_public_v1
Provenance
Not a fork · Personal account
As of 4d · github_public_v1
Not a fork · Organization account
As of 2d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
Published findings
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 reportLlama-Chinese trust reportTrust methodology

Tagline

Awesome-Chinese-LLM
整理开源的中文大语言模型
Llama-Chinese
Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态

Stars

Awesome-Chinese-LLM
23k
Llama-Chinese
15k

Forks

Awesome-Chinese-LLM
2.1k
Llama-Chinese
1.3k

Open issues

Awesome-Chinese-LLM
27
Llama-Chinese
195

Language

Awesome-Chinese-LLM
-
Llama-Chinese
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.
Llama-Chinese
Llama-Chinese is designed to offer a development and deployment environment for Chinese-optimized Llama large language models, using Docker for quick setup.

Persona

Awesome-Chinese-LLM
-
Llama-Chinese
-

Runtime

Awesome-Chinese-LLM
-
Llama-Chinese
-

License

Awesome-Chinese-LLM
-
Llama-Chinese
-

Last pushed

Awesome-Chinese-LLM
May 10, 2026
Llama-Chinese
Apr 6, 2025

Categories

Awesome-Chinese-LLM
LLM Frameworks, Model Training
Llama-Chinese
AI Agents, LLM Frameworks

Trust and health

Maintenance

Awesome-Chinese-LLM
Slowing (36%)
Llama-Chinese
Dormant (18%)

Days since push

Awesome-Chinese-LLM
98d
Llama-Chinese
499d

Open issues (now)

Awesome-Chinese-LLM
27
Llama-Chinese
195

Stars delta

Awesome-Chinese-LLM
+53 (30d)
Llama-Chinese
-2 (30d)

Open issues delta

Awesome-Chinese-LLM
+3 (30d)
Llama-Chinese
0 (30d)

Owner type

Awesome-Chinese-LLM
User
Llama-Chinese
Organization

OSV dependency advisories

Awesome-Chinese-LLM
No lockfile (source not queried)
Llama-Chinese
Published findings

Full report

Awesome-Chinese-LLM
Trust report
Llama-Chinese
Trust report

Choose Awesome-Chinese-LLM if…

  • Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, nlp.
  • Also covers Model Training.
  • 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 Llama-Chinese if…

  • Tags unique to Llama-Chinese: agent, pretraining, rl.
  • Also covers AI Agents.
  • Llama-Chinese is designed to offer a development and deployment environment for Chinese-optimized Llama large language models, using Docker for quick setup.

When NOT to use Llama-Chinese

  • Last GitHub push was 502 days ago (dormant maintenance, Apr 6, 2025). Validate activity before betting a new project on Llama-Chinese.
  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Explore

Awesome-Chinese-LLM trust report →Llama-Chinese trust report →LLM Frameworks category →Model Training category →AI Agents 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 · Llama-Chinese 15k (synced Aug 17, 2026).

Common questions

What is the difference between Awesome-Chinese-LLM and Llama-Chinese?
Awesome-Chinese-LLM: 整理开源的中文大语言模型. Llama-Chinese: Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态. See the comparison table for live GitHub stats and shared categories.
When should I choose Awesome-Chinese-LLM over Llama-Chinese?
Choose Awesome-Chinese-LLM over Llama-Chinese when Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, nlp; Also covers Model Training; If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately.
When should I choose Llama-Chinese over Awesome-Chinese-LLM?
Choose Llama-Chinese over Awesome-Chinese-LLM when Tags unique to Llama-Chinese: agent, pretraining, rl; Also covers AI Agents; Llama-Chinese is designed to offer a development and deployment environment for Chinese-optimized Llama large language models, using Docker for quick setup.
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 Llama-Chinese?
Last GitHub push was 502 days ago (dormant maintenance, Apr 6, 2025). Validate activity before betting a new project on Llama-Chinese. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is Awesome-Chinese-LLM or Llama-Chinese more popular on GitHub?
Awesome-Chinese-LLM has more GitHub stars (22,738 vs 14,743). Stars measure visibility, not whether either tool fits your constraints.
Are Awesome-Chinese-LLM and Llama-Chinese open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to Awesome-Chinese-LLM or Llama-Chinese?
GraphCanon lists graph-backed alternatives at Awesome-Chinese-LLM alternatives and Llama-Chinese alternatives (Awesome-Chinese-LLM markdown twin, Llama-Chinese 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 Llama-Chinese?
Awesome-Chinese-LLM: Slowing. Llama-Chinese: 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 Llama-Chinese?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-Chinese-LLM trust report; Llama-Chinese trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.