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Comparison

Awesome-Chinese-LLM vs BELLE

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 BELLE if bELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code,.

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

GraphCanon updated Sep 20, 2026

6views this month

Awesome-Chinese-LLM logo

Awesome-Chinese-LLM

AiHubCN/Awesome-Chinese-LLM

★ 23kpushed May 10, 2026
vs
BELLE logo

BELLE

LianjiaTech/BELLE

★ 8.3kpushed Oct 16, 2024

Trust & integrity

SignalAwesome-Chinese-LLMBELLE
Maintenance
Slowing (98d since push)
As of Aug 17, 2026 · github_public_v1
Dormant (701d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Aug 17, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No published findings from this source as of 2026-09-18
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
Awesome-Chinese-LLM trust reportBELLE trust reportTrust methodology

Tagline

Awesome-Chinese-LLM
整理开源的中文大语言模型
BELLE
Open-source Chinese dialogue large model

Stars

Awesome-Chinese-LLM
23k
BELLE
8.3k

Forks

Awesome-Chinese-LLM
2.1k
BELLE
755

Open issues

Awesome-Chinese-LLM
27
BELLE
106

Language

Awesome-Chinese-LLM
-
BELLE
HTML

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.
BELLE
BELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code,

Persona

Awesome-Chinese-LLM
-
BELLE
-

Runtime

Awesome-Chinese-LLM
-
BELLE
-

License

Awesome-Chinese-LLM
-
BELLE
BELLE is licensed under Apache-2.0, allowing for free use, modification, and distribution.

Last pushed

Awesome-Chinese-LLM
May 10, 2026
BELLE
Oct 16, 2024

Categories

Awesome-Chinese-LLM
LLM Frameworks, Model Training
BELLE
Computer Vision, Evaluation & Observability, LLM Frameworks, Model Training, Speech & Audio

Trust and health

Maintenance

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

Days since push

Awesome-Chinese-LLM
98d
BELLE
701d

Open issues (now)

Awesome-Chinese-LLM
27
BELLE
106

Stars delta

Awesome-Chinese-LLM
+53 (30d)
BELLE
-10 (30d)

Open issues delta

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

Owner type

Awesome-Chinese-LLM
User
BELLE
Organization

OSV dependency advisories

Awesome-Chinese-LLM
No lockfile (source not queried)
BELLE
No published findings from this source as of 2026-09-18

Full report

Awesome-Chinese-LLM
Trust report
BELLE
Trust report

Shared compatibility

  • ChatGPT · Awesome-Chinese-LLM: Works with ChatGPT · BELLE: Works with ChatGPT

Choose Awesome-Chinese-LLM if…

  • Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, llm.
  • If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately.
  • More GitHub stars (23k vs 8.3k) - 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 BELLE if…

  • Requirements: Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference..
  • Tags unique to BELLE: bloom, chinese-nlp, gpt-evaluation, gpt-q.
  • Also covers Computer Vision, Evaluation & Observability, Speech & Audio.
  • Use BELLE when you need a Chinese-specific large language model that has been optimized for instruction-following tasks.

When NOT to use BELLE

  • Avoid BELLE if your project requires a language model that is not focused on Chinese, as it is specifically optimized for the Chinese language.
  • Do not use BELLE if you need a model that is trained on a diverse set of data beyond Chinese dialogue, as it primarily uses data generated by ChatGPT.
  • BELLE may not be suitable if you require a model that has not been fine-tuned on high-quality dialogue data, as it emphasizes instruction-following capabilities.
GitHubDetails

Explore

Awesome-Chinese-LLM trust report →BELLE trust report →LLM Frameworks category →Model Training category →Computer Vision category →Evaluation & Observability category →Speech & Audio 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 · BELLE 8.3k (synced Sep 20, 2026).

Common questions

What is the difference between Awesome-Chinese-LLM and BELLE?
Awesome-Chinese-LLM: 整理开源的中文大语言模型. BELLE: Open-source Chinese dialogue large model. See the comparison table for live GitHub stats and shared categories.
When should I choose Awesome-Chinese-LLM over BELLE?
Choose Awesome-Chinese-LLM over BELLE when Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, llm; If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately; More GitHub stars (23k vs 8.3k) - visibility, not fit.
When should I choose BELLE over Awesome-Chinese-LLM?
Choose BELLE over Awesome-Chinese-LLM when Requirements: Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference.; Tags unique to BELLE: bloom, chinese-nlp, gpt-evaluation, gpt-q; Also covers Computer Vision, Evaluation & Observability, Speech & Audio; Use BELLE when you need a Chinese-specific large language model that has been optimized for instruction-following tasks.
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 BELLE?
Avoid BELLE if your project requires a language model that is not focused on Chinese, as it is specifically optimized for the Chinese language. Do not use BELLE if you need a model that is trained on a diverse set of data beyond Chinese dialogue, as it primarily uses data generated by ChatGPT. BELLE may not be suitable if you require a model that has not been fine-tuned on high-quality dialogue data, as it emphasizes instruction-following capabilities.
Is Awesome-Chinese-LLM or BELLE more popular on GitHub?
Awesome-Chinese-LLM has more GitHub stars (22,738 vs 8,270). Stars measure visibility, not whether either tool fits your constraints.
Are Awesome-Chinese-LLM and BELLE open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to Awesome-Chinese-LLM or BELLE?
GraphCanon lists graph-backed alternatives at Awesome-Chinese-LLM alternatives and BELLE alternatives (Awesome-Chinese-LLM markdown twin, BELLE 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 BELLE?
Awesome-Chinese-LLM: Slowing. BELLE: 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 BELLE?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-Chinese-LLM trust report; BELLE trust report.

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