Comparison
Awesome-Chinese-LLM vs StableLM
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 StableLM if stableLM offers pre-trained language models for development and research with an emphasis on repeated-token training effects to improve performance.
Markdown twin · Awesome-Chinese-LLM alternatives · StableLM alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | Awesome-Chinese-LLM | StableLM |
|---|---|---|
| Maintenance | Slowing (98d since push) As of 1w · github_public_v1 | Dormant (844d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · 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 |
Tagline
- Awesome-Chinese-LLM
- 整理开源的中文大语言模型
- StableLM
- Language models for development and research
Stars
- Awesome-Chinese-LLM
- 23k
- StableLM
- 16k
Forks
- Awesome-Chinese-LLM
- 2.1k
- StableLM
- 1.0k
Open issues
- Awesome-Chinese-LLM
- 27
- StableLM
- 28
Language
- Awesome-Chinese-LLM
- -
- StableLM
- Jupyter Notebook
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.
- StableLM
- StableLM offers pre-trained language models for development and research with an emphasis on repeated-token training effects to improve performance.
Persona
- Awesome-Chinese-LLM
- -
- StableLM
- -
Runtime
- Awesome-Chinese-LLM
- -
- StableLM
- -
License
- Awesome-Chinese-LLM
- -
- StableLM
- Apache-2.0
Last pushed
- Awesome-Chinese-LLM
- May 10, 2026
- StableLM
- Apr 8, 2024
Categories
- Awesome-Chinese-LLM
- LLM Frameworks, Model Training
- StableLM
- LLM Frameworks
Trust and health
Maintenance
- Awesome-Chinese-LLM
- Slowing (36%)
- StableLM
- Dormant (18%)
Days since push
- Awesome-Chinese-LLM
- 98d
- StableLM
- 844d
Open issues (now)
- Awesome-Chinese-LLM
- 27
- StableLM
- 28
Stars delta
- Awesome-Chinese-LLM
- +53 (30d)
- StableLM
- Unknown
Open issues delta
- Awesome-Chinese-LLM
- +3 (30d)
- StableLM
- Unknown
Owner type
- Awesome-Chinese-LLM
- User
- StableLM
- Organization
Full report
- Awesome-Chinese-LLM
- Trust report
- StableLM
- Trust report
Choose Awesome-Chinese-LLM if…
- Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, llama.
- 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.
Choose StableLM if…
- Tags unique to StableLM: ai-research, language-models, model-training, open-source.
- When targeting research into the impact of multi-epoch token repetition on model performance, as StableLM is specifically designed around this concept.
When NOT to use StableLM
- If your project requires the strictest data privacy guarantees since some models are under less restrictive licenses, limiting their usage in projects with such constraints.
- For applications needing larger language models than 13 billion parameters, as StableLM's largest model is StableVicuna-13B.
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 Aug 17, 2026
- GitHub forks (AiHubCN/Awesome-Chinese-LLM) · observed Aug 17, 2026
- Last push (AiHubCN/Awesome-Chinese-LLM) · observed May 10, 2026
- License file (unknown) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Stability-AI/StableLM) · observed Aug 1, 2026
- GitHub forks (Stability-AI/StableLM) · observed Aug 1, 2026
- Last push (Stability-AI/StableLM) · observed Apr 8, 2024
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Awesome-Chinese-LLM 23k · StableLM 16k (synced Aug 17, 2026).
Common questions
- What is the difference between Awesome-Chinese-LLM and StableLM?
- Awesome-Chinese-LLM: 整理开源的中文大语言模型. StableLM: Language models for development and research. See the comparison table for live GitHub stats and shared categories.
- When should I choose Awesome-Chinese-LLM over StableLM?
- Choose Awesome-Chinese-LLM over StableLM when Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, llama; 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 StableLM over Awesome-Chinese-LLM?
- Choose StableLM over Awesome-Chinese-LLM when Tags unique to StableLM: ai-research, language-models, model-training, open-source; When targeting research into the impact of multi-epoch token repetition on model performance, as StableLM is specifically designed around this concept.
- 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 StableLM?
- If your project requires the strictest data privacy guarantees since some models are under less restrictive licenses, limiting their usage in projects with such constraints. For applications needing larger language models than 13 billion parameters, as StableLM's largest model is StableVicuna-13B.
- Is Awesome-Chinese-LLM or StableLM more popular on GitHub?
- Awesome-Chinese-LLM has more GitHub stars (22,738 vs 15,684). Stars measure visibility, not whether either tool fits your constraints.
- Are Awesome-Chinese-LLM and StableLM open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Awesome-Chinese-LLM or StableLM?
- GraphCanon lists graph-backed alternatives at Awesome-Chinese-LLM alternatives and StableLM alternatives (Awesome-Chinese-LLM markdown twin, StableLM 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 StableLM?
- Awesome-Chinese-LLM: Slowing. StableLM: 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 StableLM?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-Chinese-LLM trust report; StableLM trust report.