Comparison
awesome-pretrained-chinese-nlp-models vs Chinese-LLaMA-Alpaca
Verdict
Pick awesome-pretrained-chinese-nlp-models if a comprehensive collection of advanced Chinese NLP models including large language models and multimodal setups; pick Chinese-LLaMA-Alpaca if chinese-LLaMA-Alpaca offers Chinese versions of LLaMA and Alpaca models, with expanded Chinese vocabulary and pre-training on Chinese data, supporting local deployment on CPU/GPU.
Markdown twin · awesome-pretrained-chinese-nlp-models alternatives · Chinese-LLaMA-Alpaca alternatives
GraphCanon updated Sep 20, 2026
10views this month
awesome-pretrained-chinese-nlp-models
lonePatient/awesome-pretrained-chinese-nlp-models
★ 5.6kpushed Aug 14, 2026
Trust & integrity
| Signal | awesome-pretrained-chinese-nlp-models | Chinese-LLaMA-Alpaca |
|---|---|---|
| Maintenance | Very active (3d since push) As of Aug 17, 2026 · github_public_v1 | Slowing (152d 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 · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings 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-pretrained-chinese-nlp-models
- Curated list of high-quality Chinese pretrained NLP models
- Chinese-LLaMA-Alpaca
- Chinese LLaMA & Alpaca LLMs
Stars
- awesome-pretrained-chinese-nlp-models
- 5.6k
- Chinese-LLaMA-Alpaca
- 19k
Forks
- awesome-pretrained-chinese-nlp-models
- 514
- Chinese-LLaMA-Alpaca
- 1.8k
Open issues
- awesome-pretrained-chinese-nlp-models
- 6
- Chinese-LLaMA-Alpaca
- 5
Language
- awesome-pretrained-chinese-nlp-models
- Python
- Chinese-LLaMA-Alpaca
- Python
Adopt for
- awesome-pretrained-chinese-nlp-models
- A comprehensive collection of advanced Chinese NLP models including large language models and multimodal setups.
- Chinese-LLaMA-Alpaca
- Chinese-LLaMA-Alpaca offers Chinese versions of LLaMA and Alpaca models, with expanded Chinese vocabulary and pre-training on Chinese data, supporting local deployment on CPU/GPU.
Persona
- awesome-pretrained-chinese-nlp-models
- -
- Chinese-LLaMA-Alpaca
- -
Runtime
- awesome-pretrained-chinese-nlp-models
- -
- Chinese-LLaMA-Alpaca
- -
License
- awesome-pretrained-chinese-nlp-models
- MIT
- Chinese-LLaMA-Alpaca
- The tool is licensed under Apache-2.0, allowing for free use, modification, and distribution.
Last pushed
- awesome-pretrained-chinese-nlp-models
- Aug 14, 2026
- Chinese-LLaMA-Alpaca
- Apr 19, 2026
Categories
- awesome-pretrained-chinese-nlp-models
- LLM Frameworks, Model Training
- Chinese-LLaMA-Alpaca
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- awesome-pretrained-chinese-nlp-models
- Very active (96%)
- Chinese-LLaMA-Alpaca
- Slowing (36%)
Days since push
- awesome-pretrained-chinese-nlp-models
- 3d
- Chinese-LLaMA-Alpaca
- 152d
Open issues (now)
- awesome-pretrained-chinese-nlp-models
- 6
- Chinese-LLaMA-Alpaca
- 5
Stars delta
- awesome-pretrained-chinese-nlp-models
- +8 (30d)
- Chinese-LLaMA-Alpaca
- +10 (30d)
Open issues delta
- awesome-pretrained-chinese-nlp-models
- 0 (30d)
- Chinese-LLaMA-Alpaca
- -1 (30d)
OSV dependency advisories
- awesome-pretrained-chinese-nlp-models
- No lockfile (source not queried)
- Chinese-LLaMA-Alpaca
- Published findings
Full report
- awesome-pretrained-chinese-nlp-models
- Trust report
- Chinese-LLaMA-Alpaca
- Trust report
Choose awesome-pretrained-chinese-nlp-models if…
- License: awesome-pretrained-chinese-nlp-models is MIT, Chinese-LLaMA-Alpaca is Apache-2.0.
- Tags unique to awesome-pretrained-chinese-nlp-models: bert, chinese, dataset, ernie.
- When developing applications requiring high-quality, Chinese-specific large language model support
When NOT to use awesome-pretrained-chinese-nlp-models
- If the application requires extensive Western-language model integration
- Projects needing non-Chinese-specific fine-tuning or training will find limited utility
Choose Chinese-LLaMA-Alpaca if…
- License: Chinese-LLaMA-Alpaca is Apache-2.0, awesome-pretrained-chinese-nlp-models is MIT.
- Pricing: The repository provides free access to the models and scripts, but users may incur costs related to hardware and cloud services for deployment..
- Requirements: Min 8 GB RAM; Requires Python environment.; Supports deployment on local CPU/GPU..
- Tags unique to Chinese-LLaMA-Alpaca: alpaca, llama, llm, lora.
- Also covers Inference & Serving.
- When you need Chinese-specific large language models for tasks that require deep understanding of the Chinese language.
When NOT to use Chinese-LLaMA-Alpaca
- If your project requires models that are not specific to the Chinese language or do not benefit from Chinese-specific pre-training.
- When you need models that are not available in the sizes provided by Chinese-LLaMA-Alpaca, such as models smaller than 7B or larger than 33B.
- If you prefer models that are not based on LLaMA or Alpaca architectures.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lonePatient/awesome-pretrained-chinese-nlp-models) · observed Sep 20, 2026
- GitHub forks (lonePatient/awesome-pretrained-chinese-nlp-models) · observed Sep 20, 2026
- Last push (lonePatient/awesome-pretrained-chinese-nlp-models) · observed Aug 14, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ymcui/Chinese-LLaMA-Alpaca) · observed Sep 20, 2026
- GitHub forks (ymcui/Chinese-LLaMA-Alpaca) · observed Sep 20, 2026
- Last push (ymcui/Chinese-LLaMA-Alpaca) · observed Apr 19, 2026
- 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-pretrained-chinese-nlp-models 5.6k · Chinese-LLaMA-Alpaca 19k (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-pretrained-chinese-nlp-models and Chinese-LLaMA-Alpaca?
- awesome-pretrained-chinese-nlp-models: Curated list of high-quality Chinese pretrained NLP models. Chinese-LLaMA-Alpaca: Chinese LLaMA & Alpaca LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-pretrained-chinese-nlp-models over Chinese-LLaMA-Alpaca?
- Choose awesome-pretrained-chinese-nlp-models over Chinese-LLaMA-Alpaca when License: awesome-pretrained-chinese-nlp-models is MIT, Chinese-LLaMA-Alpaca is Apache-2.0; Tags unique to awesome-pretrained-chinese-nlp-models: bert, chinese, dataset, ernie; When developing applications requiring high-quality, Chinese-specific large language model support.
- When should I choose Chinese-LLaMA-Alpaca over awesome-pretrained-chinese-nlp-models?
- Choose Chinese-LLaMA-Alpaca over awesome-pretrained-chinese-nlp-models when License: Chinese-LLaMA-Alpaca is Apache-2.0, awesome-pretrained-chinese-nlp-models is MIT; Pricing: The repository provides free access to the models and scripts, but users may incur costs related to hardware and cloud services for deployment.; Requirements: Min 8 GB RAM; Requires Python environment.; Supports deployment on local CPU/GPU.; Tags unique to Chinese-LLaMA-Alpaca: alpaca, llama, llm, lora; Also covers Inference & Serving; When you need Chinese-specific large language models for tasks that require deep understanding of the Chinese language.
- When should I avoid awesome-pretrained-chinese-nlp-models?
- If the application requires extensive Western-language model integration Projects needing non-Chinese-specific fine-tuning or training will find limited utility
- When should I avoid Chinese-LLaMA-Alpaca?
- If your project requires models that are not specific to the Chinese language or do not benefit from Chinese-specific pre-training. When you need models that are not available in the sizes provided by Chinese-LLaMA-Alpaca, such as models smaller than 7B or larger than 33B. If you prefer models that are not based on LLaMA or Alpaca architectures.
- Is awesome-pretrained-chinese-nlp-models or Chinese-LLaMA-Alpaca more popular on GitHub?
- Chinese-LLaMA-Alpaca has more GitHub stars (18,943 vs 5,579). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-pretrained-chinese-nlp-models and Chinese-LLaMA-Alpaca open source?
- Yes - both are open-source projects on GitHub (awesome-pretrained-chinese-nlp-models: MIT, Chinese-LLaMA-Alpaca: Apache-2.0).
- Where can I find alternatives to awesome-pretrained-chinese-nlp-models or Chinese-LLaMA-Alpaca?
- GraphCanon lists graph-backed alternatives at awesome-pretrained-chinese-nlp-models alternatives and Chinese-LLaMA-Alpaca alternatives (awesome-pretrained-chinese-nlp-models 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, awesome-pretrained-chinese-nlp-models or Chinese-LLaMA-Alpaca?
- awesome-pretrained-chinese-nlp-models: Very active. 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 awesome-pretrained-chinese-nlp-models and Chinese-LLaMA-Alpaca?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-pretrained-chinese-nlp-models trust report; Chinese-LLaMA-Alpaca trust report.