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 is a series of language models from Stability AI, featuring models like StableLM-3B-4E1T, which is a 3 billion parameter model trained on 4 trillion tokens over 4 epochs. The repository includes model updates, a.
Markdown twin · Awesome-Chinese-LLM alternatives · StableLM alternatives
GraphCanon updated Sep 20, 2026
14views this month
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Trust & integrity
| Signal | Awesome-Chinese-LLM | StableLM |
|---|---|---|
| Maintenance | Slowing (98d since push) As of Aug 17, 2026 · github_public_v1 | Dormant (892d 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 lockfile (source not queried) 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 |
Tagline
- Awesome-Chinese-LLM
- 整理开源的中文大语言模型
- StableLM
- Stability AI Language Models
Stars
- Awesome-Chinese-LLM
- 23k
- StableLM
- 16k
Forks
- Awesome-Chinese-LLM
- 2.1k
- StableLM
- 1.0k
Open issues
- Awesome-Chinese-LLM
- 27
- StableLM
- 27
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 is a series of language models from Stability AI, featuring models like StableLM-3B-4E1T, which is a 3 billion parameter model trained on 4 trillion tokens over 4 epochs. The repository includes model updates, a
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, Model Training
Trust and health
Maintenance
- Awesome-Chinese-LLM
- Slowing (36%)
- StableLM
- Dormant (18%)
Days since push
- Awesome-Chinese-LLM
- 98d
- StableLM
- 892d
Stars delta
- Awesome-Chinese-LLM
- +53 (30d)
- StableLM
- -6 (30d)
Open issues delta
- Awesome-Chinese-LLM
- +3 (30d)
- StableLM
- -1 (30d)
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.
- If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately.
- More GitHub stars (23k vs 16k) - 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 StableLM if…
- Tags unique to StableLM: checkpoints, fine-tuning, language models, pre-training.
- When you need a model that has been trained with a multi-epoch regime to study the impact of repeated tokens on performance, such as the StableLM-3B-4E1T model.
When NOT to use StableLM
- If you need a model that is strictly under the Apache-2.0 license, as StableLM models are available under different licenses like CC BY-SA-4.0 and CC BY-NC-SA-4.0.
- When you require a model that has not been trained with repeated tokens, as StableLM models like StableLM-3B-4E1T are specifically designed with this training method.
- If your project requires a model that is not a decoder-only transformer with specific architecture modifications, such as the use of Rotary Position Embeddings.
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 Sep 20, 2026
- GitHub forks (AiHubCN/Awesome-Chinese-LLM) · observed Sep 20, 2026
- Last push (AiHubCN/Awesome-Chinese-LLM) · observed May 10, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Stability-AI/StableLM) · observed Sep 20, 2026
- GitHub forks (Stability-AI/StableLM) · observed Sep 20, 2026
- Last push (Stability-AI/StableLM) · observed Apr 8, 2024
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: Awesome-Chinese-LLM 23k · StableLM 16k (synced Sep 20, 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: Stability AI Language Models. 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; If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately; More GitHub stars (23k vs 16k) - visibility, not fit.
- When should I choose StableLM over Awesome-Chinese-LLM?
- Choose StableLM over Awesome-Chinese-LLM when Tags unique to StableLM: checkpoints, fine-tuning, language models, pre-training; When you need a model that has been trained with a multi-epoch regime to study the impact of repeated tokens on performance, such as the StableLM-3B-4E1T model.
- 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 you need a model that is strictly under the Apache-2.0 license, as StableLM models are available under different licenses like CC BY-SA-4.0 and CC BY-NC-SA-4.0. When you require a model that has not been trained with repeated tokens, as StableLM models like StableLM-3B-4E1T are specifically designed with this training method. If your project requires a model that is not a decoder-only transformer with specific architecture modifications, such as the use of Rotary Position Embeddings.
- Is Awesome-Chinese-LLM or StableLM more popular on GitHub?
- Awesome-Chinese-LLM has more GitHub stars (22,738 vs 15,678). 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.