Comparison
Awesome-Chinese-LLM vs modelz-llm
Verdict
Pick Awesome-Chinese-LLM when tags unique to Awesome-Chinese-LLM: awesome-lists, llama, chinese, chatglm; pick modelz-llm when tags unique to modelz-llm: python, openai-api, transformer.
Markdown twin · Awesome-Chinese-LLM alternatives · modelz-llm alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Awesome-Chinese-LLM | modelz-llm |
|---|---|---|
| Maintenance | Steady (62d since push) As of today · github_public_v1 | Dormant (1004d 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 criticals As of today · osv@v1 |
Tagline
- Awesome-Chinese-LLM
- 整理开源的中文大语言模型
- modelz-llm
- OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others)
Stars
- Awesome-Chinese-LLM
- 23k
- modelz-llm
- 276
Forks
- Awesome-Chinese-LLM
- 2.1k
- modelz-llm
- 27
Open issues
- Awesome-Chinese-LLM
- 23
- modelz-llm
- 12
Language
- Awesome-Chinese-LLM
- -
- modelz-llm
- 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.
- modelz-llm
- -
Persona
- Awesome-Chinese-LLM
- -
- modelz-llm
- -
Runtime
- Awesome-Chinese-LLM
- -
- modelz-llm
- -
License
- Awesome-Chinese-LLM
- -
- modelz-llm
- Apache-2.0
Last pushed
- Awesome-Chinese-LLM
- May 10, 2026
- modelz-llm
- Oct 11, 2023
Categories
- Awesome-Chinese-LLM
- Model Training, LLM Frameworks
- modelz-llm
- Vector Databases, LLM Frameworks, Model Training
Trust and health
Maintenance
- Awesome-Chinese-LLM
- Steady (60%)
- modelz-llm
- Dormant (18%)
Days since push
- Awesome-Chinese-LLM
- 62d
- modelz-llm
- 1004d
Open issues (now)
- Awesome-Chinese-LLM
- 23
- modelz-llm
- 12
Owner type
- Awesome-Chinese-LLM
- User
- modelz-llm
- Organization
Security scan
- Awesome-Chinese-LLM
- No lockfile
- modelz-llm
- No criticals
Full report
- Awesome-Chinese-LLM
- Trust report
- modelz-llm
- Trust report
Choose Awesome-Chinese-LLM if…
- Tags unique to Awesome-Chinese-LLM: awesome-lists, llama, chinese, chatglm.
- If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately.
- More GitHub stars (23k vs 276) - 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.
Choose modelz-llm if…
- Tags unique to modelz-llm: python, openai-api, transformer.
- Also covers Vector Databases.
- Leaner open-issue backlog (12).
When NOT to use modelz-llm
- Last GitHub push was 1005 days ago (dormant maintenance, Oct 11, 2023). Validate activity before betting a new project on modelz-llm.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AiHubCN/Awesome-Chinese-LLM) · observed Jul 11, 2026
- GitHub forks (AiHubCN/Awesome-Chinese-LLM) · observed Jul 11, 2026
- Last push (AiHubCN/Awesome-Chinese-LLM) · observed May 10, 2026
- License file (unknown) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tensorchord/modelz-llm) · observed Jul 11, 2026
- GitHub forks (tensorchord/modelz-llm) · observed Jul 11, 2026
- Last push (tensorchord/modelz-llm) · observed Oct 11, 2023
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Awesome-Chinese-LLM 23k · modelz-llm 276 (synced Jul 11, 2026).
Common questions
- What is the difference between Awesome-Chinese-LLM and modelz-llm?
- Awesome-Chinese-LLM: 整理开源的中文大语言模型. modelz-llm: OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others). See the comparison table for live GitHub stats and shared categories.
- When should I choose Awesome-Chinese-LLM over modelz-llm?
- Choose Awesome-Chinese-LLM over modelz-llm when Tags unique to Awesome-Chinese-LLM: awesome-lists, llama, chinese, chatglm; If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately; More GitHub stars (23k vs 276) - visibility, not fit.
- When should I choose modelz-llm over Awesome-Chinese-LLM?
- Choose modelz-llm over Awesome-Chinese-LLM when Tags unique to modelz-llm: python, openai-api, transformer; Also covers Vector Databases; Leaner open-issue backlog (12).
- 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 modelz-llm?
- Last GitHub push was 1005 days ago (dormant maintenance, Oct 11, 2023). Validate activity before betting a new project on modelz-llm. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is Awesome-Chinese-LLM or modelz-llm more popular on GitHub?
- Awesome-Chinese-LLM has more GitHub stars (22,670 vs 276). Stars measure visibility, not whether either tool fits your constraints.
- Are Awesome-Chinese-LLM and modelz-llm open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Awesome-Chinese-LLM or modelz-llm?
- GraphCanon lists graph-backed alternatives at Awesome-Chinese-LLM alternatives and modelz-llm alternatives (Awesome-Chinese-LLM markdown twin, modelz-llm 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 modelz-llm?
- Awesome-Chinese-LLM: Steady. modelz-llm: 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 modelz-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-Chinese-LLM trust report; modelz-llm trust report.