--- title: "Aquila2 vs Chinese-LLaMA-Alpaca" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/flagai-open-aquila2-vs-ymcui-chinese-llama-alpaca" tools: ["flagai-open-aquila2", "ymcui-chinese-llama-alpaca"] --- # Aquila2 vs Chinese-LLaMA-Alpaca *GraphCanon updated Aug 17, 2026* ## Verdict Pick Aquila2 if official suite for Aquila2 series LLM by BAAI; 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. [Aquila2](https://github.com/FlagAI-Open/Aquila2) reports 446 GitHub stars, 32 forks, and 2 open issues, last pushed Oct 11, 2024. [Chinese-LLaMA-Alpaca](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki) has 19k stars, 1.8k forks, and 6 open issues, last pushed Apr 19, 2026. Figures are from public GitHub metadata via [Aquila2's repository](https://github.com/FlagAI-Open/Aquila2) and [Chinese-LLaMA-Alpaca's repository](https://github.com/ymcui/Chinese-LLaMA-Alpaca). | | [Aquila2](/tools/flagai-open-aquila2.md) | [Chinese-LLaMA-Alpaca](/tools/ymcui-chinese-llama-alpaca.md) | | --- | --- | --- | | Tagline | Official repository for Aquila2 series large language models by BAAI | Chinese LLaMA & Alpaca Large Language Models for Local CPU/GPU Training and Deployment | | Stars | 446 | 18,933 | | Forks | 32 | 1,839 | | Open issues | 2 | 6 | | Language | Python | Python | | Adopt for | Official suite for Aquila2 series LLM by BAAI | `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 | - | - | | Runtime | - | - | | License | (unknown) | 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. | | Categories | Inference & Serving, LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Aquila2](/tools/flagai-open-aquila2.md) | [Chinese-LLaMA-Alpaca](/tools/ymcui-chinese-llama-alpaca.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 652d | 119d | | Open issues (now) | 2 | 6 | | Stars delta | Unknown | -9 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/flagai-open-aquila2/trust.md) | [trust report](/tools/ymcui-chinese-llama-alpaca/trust.md) | ## Decision facts: Aquila2 - **Adopt for:** Official suite for Aquila2 series LLM by BAAI - **License detail:** (unknown) ## Decision facts: Chinese-LLaMA-Alpaca - **Pricing:** freemium - Access to `Chinese-LLaMA-Alpaca` models and documentation is free, but commercial usage should adhere to open-source licensing requirements. - **Adopt for:** `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 - **License detail:** 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. ## Choose when ### Choose Aquila2 if… - Tags unique to Aquila2: llm, llm-inference, llm-training. - Also covers Inference & Serving. - Need specialized support from Beijing Academy of Artificial Intelligence ### Choose Chinese-LLaMA-Alpaca if… - 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, large language models, llama, nlp. - 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 Aquila2 - Require comprehensive API and documentation clarity - Preferring open source licensing details ## 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. ## Common questions ### What is the difference between Aquila2 and Chinese-LLaMA-Alpaca? Aquila2: Official repository for Aquila2 series large language models by BAAI. 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 Aquila2 over Chinese-LLaMA-Alpaca? Choose Aquila2 over Chinese-LLaMA-Alpaca when Tags unique to Aquila2: llm, llm-inference, llm-training; Also covers Inference & Serving; Need specialized support from Beijing Academy of Artificial Intelligence. ### When should I choose Chinese-LLaMA-Alpaca over Aquila2? Choose Chinese-LLaMA-Alpaca over Aquila2 when 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, large language models, llama, nlp; 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 should I avoid Aquila2? Require comprehensive API and documentation clarity Preferring open source licensing details ### When should I avoid 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. ### Is Aquila2 or Chinese-LLaMA-Alpaca more popular on GitHub? Chinese-LLaMA-Alpaca has more GitHub stars (18,933 vs 446). Stars measure visibility, not whether either tool fits your constraints. ### Are Aquila2 and Chinese-LLaMA-Alpaca open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Aquila2 or Chinese-LLaMA-Alpaca? GraphCanon lists graph-backed alternatives at [Aquila2 alternatives](/tools/flagai-open-aquila2/alternatives) and [Chinese-LLaMA-Alpaca alternatives](/tools/ymcui-chinese-llama-alpaca/alternatives) ([Aquila2 markdown twin](/tools/flagai-open-aquila2/alternatives.md), [Chinese-LLaMA-Alpaca markdown twin](/tools/ymcui-chinese-llama-alpaca/alternatives.md)), 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](/compare/flagai-open-aquila2-vs-ymcui-chinese-llama-alpaca.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Aquila2 or Chinese-LLaMA-Alpaca? Aquila2: 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 Aquila2 and Chinese-LLaMA-Alpaca? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Aquila2 trust report](/tools/flagai-open-aquila2/trust); [Chinese-LLaMA-Alpaca trust report](/tools/ymcui-chinese-llama-alpaca/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=flagai-open-aquila2`](/api/graphcanon/graph?tool=flagai-open-aquila2) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_