Comparison
MiniMax-01 vs Chinese-LLaMA-Alpaca
Verdict
Pick MiniMax-01 if miniMax-01 optimizes Linear Attention for large-language and vision-language models; pick Chinese-LLaMA-Alpaca if `Chinese-LLaMA-Alpaca` is a repository that includes Chinese versions of the LLaMA and Alpaca large language models, specifically designed with extended Chinese vocabulary and fine-tuned on Chinese instruction data for a.
Markdown twin · MiniMax-01 alternatives · Chinese-LLaMA-Alpaca alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | MiniMax-01 | Chinese-LLaMA-Alpaca |
|---|---|---|
| Maintenance | Dormant (406d since push) As of 3d · github_public_v1 | Slowing (119d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Personal account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- MiniMax-01
- Repository for MiniMax-Text-01 and MiniMax-VL-01 models based on Linear Attention
- Chinese-LLaMA-Alpaca
- Chinese LLaMA & Alpaca Large Language Models for Local CPU/GPU Training and Deployment
Stars
- MiniMax-01
- 3.5k
- Chinese-LLaMA-Alpaca
- 19k
Forks
- MiniMax-01
- 332
- Chinese-LLaMA-Alpaca
- 1.8k
Open issues
- MiniMax-01
- 8
- Chinese-LLaMA-Alpaca
- 6
Language
- MiniMax-01
- Python
- Chinese-LLaMA-Alpaca
- Python
Adopt for
- MiniMax-01
- MiniMax-01 optimizes Linear Attention for large-language and vision-language models.
- Chinese-LLaMA-Alpaca
- `Chinese-LLaMA-Alpaca` is a repository that includes Chinese versions of the LLaMA and Alpaca large language models, specifically designed with extended Chinese vocabulary and fine-tuned on Chinese instruction data for a
Persona
- MiniMax-01
- -
- Chinese-LLaMA-Alpaca
- -
Runtime
- MiniMax-01
- -
- Chinese-LLaMA-Alpaca
- -
License
- MiniMax-01
- MIT
- Chinese-LLaMA-Alpaca
- The repository is licensed under Apache-2.0 which allows you to use the content openly in both commercial and non-commercial projects provided you adhere to the licensing terms.
Last pushed
- MiniMax-01
- Jul 7, 2025
- Chinese-LLaMA-Alpaca
- Apr 19, 2026
Categories
- MiniMax-01
- LLM Frameworks, Model Training
- Chinese-LLaMA-Alpaca
- LLM Frameworks, Model Training
Trust and health
Maintenance
- MiniMax-01
- Dormant (18%)
- Chinese-LLaMA-Alpaca
- Slowing (36%)
Days since push
- MiniMax-01
- 406d
- Chinese-LLaMA-Alpaca
- 119d
Open issues (now)
- MiniMax-01
- 8
- Chinese-LLaMA-Alpaca
- 6
Stars delta
- MiniMax-01
- +17 (30d)
- Chinese-LLaMA-Alpaca
- -9 (30d)
Owner type
- MiniMax-01
- Organization
- Chinese-LLaMA-Alpaca
- User
OSV dependency advisories
- MiniMax-01
- No lockfile (source not queried)
- Chinese-LLaMA-Alpaca
- Published findings
Full report
- MiniMax-01
- Trust report
- Chinese-LLaMA-Alpaca
- Trust report
Choose MiniMax-01 if…
- License: MiniMax-01 is MIT, Chinese-LLaMA-Alpaca is Apache-2.0.
- Tags unique to MiniMax-01: llm, vision-language-model, vlm.
- When high throughput performance is required for model serving
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
Choose Chinese-LLaMA-Alpaca if…
- License: Chinese-LLaMA-Alpaca is Apache-2.0, MiniMax-01 is MIT.
- Pricing: Access to `Chinese-LLaMA-Alpaca` models and documentation is free, but commercial usage should adhere to open-source licensing requirements..
- Tags unique to Chinese-LLaMA-Alpaca: alpaca, llama, nlp, pre-trained-language-models.
- You should consider using `Chinese-LLaMA-Alpaca` if your project involves local deployment and training using CPUs or GPUs, particularly if the focus is on Chinese language texts. These models are pre
When NOT to use Chinese-LLaMA-Alpaca
- `Chinese-LLaMA-Alpaca` might not be the best fit if your project requires extensive multi-language support beyond Chinese.
- If you are exclusively targeting markets where English is the primary language, and fine-tuning or additional pre-training on Chinese data does not add value to your application.
- Avoid using this tool if you require a model that has been extensively trained across global datasets for broad international comprehension, as `Chinese-LLaMA-Alpaca` is focused heavily on Chinese.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (ymcui/Chinese-LLaMA-Alpaca) · observed Aug 17, 2026
- GitHub forks (ymcui/Chinese-LLaMA-Alpaca) · observed Aug 17, 2026
- Last push (ymcui/Chinese-LLaMA-Alpaca) · observed Apr 19, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: MiniMax-01 3.5k · Chinese-LLaMA-Alpaca 19k (synced Aug 18, 2026).
Common questions
- What is the difference between MiniMax-01 and Chinese-LLaMA-Alpaca?
- MiniMax-01: Repository for MiniMax-Text-01 and MiniMax-VL-01 models based on Linear Attention. Chinese-LLaMA-Alpaca: Chinese LLaMA & Alpaca Large Language Models for Local CPU/GPU Training and Deployment. See the comparison table for live GitHub stats and shared categories.
- When should I choose MiniMax-01 over Chinese-LLaMA-Alpaca?
- Choose MiniMax-01 over Chinese-LLaMA-Alpaca when License: MiniMax-01 is MIT, Chinese-LLaMA-Alpaca is Apache-2.0; Tags unique to MiniMax-01: llm, vision-language-model, vlm; When high throughput performance is required for model serving.
- When should I choose Chinese-LLaMA-Alpaca over MiniMax-01?
- Choose Chinese-LLaMA-Alpaca over MiniMax-01 when License: Chinese-LLaMA-Alpaca is Apache-2.0, MiniMax-01 is MIT; Pricing: Access to
Chinese-LLaMA-Alpacamodels and documentation is free, but commercial usage should adhere to open-source licensing requirements.; Tags unique to Chinese-LLaMA-Alpaca: alpaca, llama, nlp, pre-trained-language-models; You should consider usingChinese-LLaMA-Alpacaif your project involves local deployment and training using CPUs or GPUs, particularly if the focus is on Chinese language texts. These models are pre. - 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
- When should I avoid Chinese-LLaMA-Alpaca?
Chinese-LLaMA-Alpacamight not be the best fit if your project requires extensive multi-language support beyond Chinese. If you are exclusively targeting markets where English is the primary language, and fine-tuning or additional pre-training on Chinese data does not add value to your application. Avoid using this tool if you require a model that has been extensively trained across global datasets for broad international comprehension, asChinese-LLaMA-Alpacais focused heavily on Chinese.- Is MiniMax-01 or Chinese-LLaMA-Alpaca more popular on GitHub?
- Chinese-LLaMA-Alpaca has more GitHub stars (18,933 vs 3,463). Stars measure visibility, not whether either tool fits your constraints.
- Are MiniMax-01 and Chinese-LLaMA-Alpaca open source?
- Yes - both are open-source projects on GitHub (MiniMax-01: MIT, Chinese-LLaMA-Alpaca: Apache-2.0).
- Where can I find alternatives to MiniMax-01 or Chinese-LLaMA-Alpaca?
- GraphCanon lists graph-backed alternatives at MiniMax-01 alternatives and Chinese-LLaMA-Alpaca alternatives (MiniMax-01 markdown twin, Chinese-LLaMA-Alpaca 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, MiniMax-01 or Chinese-LLaMA-Alpaca?
- MiniMax-01: Dormant. Chinese-LLaMA-Alpaca: Slowing. 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 MiniMax-01 and Chinese-LLaMA-Alpaca?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MiniMax-01 trust report; Chinese-LLaMA-Alpaca trust report.