Comparison
Awesome-Chinese-LLM vs MiniMax-01
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 MiniMax-01 if miniMax-01 optimizes Linear Attention for large-language and vision-language models.
Markdown twin · Awesome-Chinese-LLM alternatives · MiniMax-01 alternatives
GraphCanon updated 3d
Trust & integrity
| Signal | Awesome-Chinese-LLM | MiniMax-01 |
|---|---|---|
| Maintenance | Slowing (98d since push) As of 4d · github_public_v1 | Dormant (406d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4d · github_public_v1 | Not a fork · Organization account As of 3d · 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
- MiniMax-01
- Repository for MiniMax-Text-01 and MiniMax-VL-01 models based on Linear Attention
Stars
- Awesome-Chinese-LLM
- 23k
- MiniMax-01
- 3.5k
Forks
- Awesome-Chinese-LLM
- 2.1k
- MiniMax-01
- 332
Open issues
- Awesome-Chinese-LLM
- 27
- MiniMax-01
- 8
Language
- Awesome-Chinese-LLM
- -
- MiniMax-01
- 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.
- MiniMax-01
- MiniMax-01 optimizes Linear Attention for large-language and vision-language models.
Persona
- Awesome-Chinese-LLM
- -
- MiniMax-01
- -
Runtime
- Awesome-Chinese-LLM
- -
- MiniMax-01
- -
License
- Awesome-Chinese-LLM
- -
- MiniMax-01
- MIT
Last pushed
- Awesome-Chinese-LLM
- May 10, 2026
- MiniMax-01
- Jul 7, 2025
Categories
- Awesome-Chinese-LLM
- LLM Frameworks, Model Training
- MiniMax-01
- LLM Frameworks, Model Training
Trust and health
Maintenance
- Awesome-Chinese-LLM
- Slowing (36%)
- MiniMax-01
- Dormant (18%)
Days since push
- Awesome-Chinese-LLM
- 98d
- MiniMax-01
- 406d
Open issues (now)
- Awesome-Chinese-LLM
- 27
- MiniMax-01
- 8
Stars delta
- Awesome-Chinese-LLM
- +53 (30d)
- MiniMax-01
- +17 (30d)
Open issues delta
- Awesome-Chinese-LLM
- +3 (30d)
- MiniMax-01
- 0 (30d)
Owner type
- Awesome-Chinese-LLM
- User
- MiniMax-01
- Organization
Full report
- Awesome-Chinese-LLM
- Trust report
- MiniMax-01
- 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 3.5k) - 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 MiniMax-01 if…
- Tags unique to MiniMax-01: large language models, vision-language-model, vlm.
- When high throughput performance is required for model serving
- Leaner open-issue backlog (8).
When NOT to use MiniMax-01
- If deep customization of attention mechanisms aside from Linear Attention is needed
- In favor of frameworks lacking vLLM's optimization features, when efficiency or memory use are secondary to flexibility
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 (MiniMax-AI/MiniMax-01) · observed Aug 18, 2026
- GitHub forks (MiniMax-AI/MiniMax-01) · observed Aug 18, 2026
- Last push (MiniMax-AI/MiniMax-01) · observed Jul 7, 2025
- License file (MIT) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Awesome-Chinese-LLM 23k · MiniMax-01 3.5k (synced Aug 17, 2026).
Common questions
- What is the difference between Awesome-Chinese-LLM and MiniMax-01?
- Awesome-Chinese-LLM: 整理开源的中文大语言模型. MiniMax-01: Repository for MiniMax-Text-01 and MiniMax-VL-01 models based on Linear Attention. See the comparison table for live GitHub stats and shared categories.
- When should I choose Awesome-Chinese-LLM over MiniMax-01?
- Choose Awesome-Chinese-LLM over MiniMax-01 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 3.5k) - visibility, not fit.
- When should I choose MiniMax-01 over Awesome-Chinese-LLM?
- Choose MiniMax-01 over Awesome-Chinese-LLM when Tags unique to MiniMax-01: large language models, vision-language-model, vlm; When high throughput performance is required for model serving; Leaner open-issue backlog (8).
- 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 MiniMax-01?
- If deep customization of attention mechanisms aside from Linear Attention is needed In favor of frameworks lacking vLLM's optimization features, when efficiency or memory use are secondary to flexibility
- Is Awesome-Chinese-LLM or MiniMax-01 more popular on GitHub?
- Awesome-Chinese-LLM has more GitHub stars (22,738 vs 3,463). Stars measure visibility, not whether either tool fits your constraints.
- Are Awesome-Chinese-LLM and MiniMax-01 open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Awesome-Chinese-LLM or MiniMax-01?
- GraphCanon lists graph-backed alternatives at Awesome-Chinese-LLM alternatives and MiniMax-01 alternatives (Awesome-Chinese-LLM markdown twin, MiniMax-01 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 MiniMax-01?
- Awesome-Chinese-LLM: Slowing. MiniMax-01: 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 MiniMax-01?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-Chinese-LLM trust report; MiniMax-01 trust report.