--- title: "Aquila2 vs Chinese-LLaMA-Alpaca-2" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/flagai-open-aquila2-vs-ymcui-chinese-llama-alpaca-2" tools: ["flagai-open-aquila2", "ymcui-chinese-llama-alpaca-2"] --- # Aquila2 vs Chinese-LLaMA-Alpaca-2 *GraphCanon updated Sep 20, 2026* ## Verdict Pick Aquila2 if official suite for Aquila2 series LLM by BAAI; pick Chinese-LLaMA-Alpaca-2 if chinese-LLaMA-Alpaca-2 provides Chinese versions of LLaMA-2 and Alpaca-2 large language models, including long context models up to 64K. It includes pretraining and instruction fine-tuning scripts, and supports various部署. [Aquila2](https://github.com/FlagAI-Open/Aquila2) reports 445 GitHub stars, 32 forks, and 2 open issues, last pushed Oct 11, 2024. [Chinese-LLaMA-Alpaca-2](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2) has 7.1k stars, 559 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-2's repository](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2). | | [Aquila2](/tools/flagai-open-aquila2.md) | [Chinese-LLaMA-Alpaca-2](/tools/ymcui-chinese-llama-alpaca-2.md) | | --- | --- | --- | | Tagline | Official repository for Aquila2 series large language models by BAAI | Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models | | Stars | 445 | 7,118 | | Forks | 32 | 559 | | Open issues | 2 | 6 | | Language | Python | Python | | Adopt for | Official suite for Aquila2 series LLM by BAAI | Chinese-LLaMA-Alpaca-2 provides Chinese versions of LLaMA-2 and Alpaca-2 large language models, including long context models up to 64K. It includes pretraining and instruction fine-tuning scripts, and supports various部署 | | Persona | - | - | | Runtime | - | - | | License | (unknown) | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks, Model Training | Inference & Serving, 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-2](/tools/ymcui-chinese-llama-alpaca-2.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 708d | 152d | | Open issues (now) | 2 | 6 | | Stars delta | -1 (30d) | -6 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/flagai-open-aquila2/trust.md) | [trust report](/tools/ymcui-chinese-llama-alpaca-2/trust.md) | ## Decision facts: Aquila2 - **Adopt for:** Official suite for Aquila2 series LLM by BAAI - **License detail:** (unknown) ## Decision facts: Chinese-LLaMA-Alpaca-2 - **Adopt for:** Chinese-LLaMA-Alpaca-2 provides Chinese versions of LLaMA-2 and Alpaca-2 large language models, including long context models up to 64K. It includes pretraining and instruction fine-tuning scripts, and supports various部署 ## Choose when ### Choose Aquila2 if… - Tags unique to Aquila2: llm, llm-inference, llm-training. - Need specialized support from Beijing Academy of Artificial Intelligence - Leaner open-issue backlog (2). ### Choose Chinese-LLaMA-Alpaca-2 if… - Tags unique to Chinese-LLaMA-Alpaca-2: 64k, alpaca, alpaca-2, flash-attention. - When you need Chinese-specific large language models with long context capabilities up to 64K. - More GitHub stars (7.1k vs 445) - visibility, not fit. ## When NOT to use Aquila2 - Require comprehensive API and documentation clarity - Preferring open source licensing details ## When NOT to use Chinese-LLaMA-Alpaca-2 - If you need models that support languages other than Chinese, as this repository focuses on Chinese models. - If you require models with shorter context lengths than 4K, as the standard models support 4K and the long context models support 16K and 64K. - If you are looking for models that do not include human preference alignment (RLHF), as this repository includes models that have been fine-tuned for this purpose. ## Common questions ### What is the difference between Aquila2 and Chinese-LLaMA-Alpaca-2? Aquila2: Official repository for Aquila2 series large language models by BAAI. Chinese-LLaMA-Alpaca-2: Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models. See the comparison table for live GitHub stats and shared categories. ### When should I choose Aquila2 over Chinese-LLaMA-Alpaca-2? Choose Aquila2 over Chinese-LLaMA-Alpaca-2 when Tags unique to Aquila2: llm, llm-inference, llm-training; Need specialized support from Beijing Academy of Artificial Intelligence; Leaner open-issue backlog (2). ### When should I choose Chinese-LLaMA-Alpaca-2 over Aquila2? Choose Chinese-LLaMA-Alpaca-2 over Aquila2 when Tags unique to Chinese-LLaMA-Alpaca-2: 64k, alpaca, alpaca-2, flash-attention; When you need Chinese-specific large language models with long context capabilities up to 64K; More GitHub stars (7.1k vs 445) - visibility, not fit. ### When should I avoid Aquila2? Require comprehensive API and documentation clarity Preferring open source licensing details ### When should I avoid Chinese-LLaMA-Alpaca-2? If you need models that support languages other than Chinese, as this repository focuses on Chinese models. If you require models with shorter context lengths than 4K, as the standard models support 4K and the long context models support 16K and 64K. If you are looking for models that do not include human preference alignment (RLHF), as this repository includes models that have been fine-tuned for this purpose. ### Is Aquila2 or Chinese-LLaMA-Alpaca-2 more popular on GitHub? Chinese-LLaMA-Alpaca-2 has more GitHub stars (7,118 vs 445). Stars measure visibility, not whether either tool fits your constraints. ### Are Aquila2 and Chinese-LLaMA-Alpaca-2 open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Aquila2 or Chinese-LLaMA-Alpaca-2? GraphCanon lists graph-backed alternatives at [Aquila2 alternatives](/tools/flagai-open-aquila2/alternatives) and [Chinese-LLaMA-Alpaca-2 alternatives](/tools/ymcui-chinese-llama-alpaca-2/alternatives) ([Aquila2 markdown twin](/tools/flagai-open-aquila2/alternatives.md), [Chinese-LLaMA-Alpaca-2 markdown twin](/tools/ymcui-chinese-llama-alpaca-2/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-2.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-2? Aquila2: Dormant. Chinese-LLaMA-Alpaca-2: 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-2? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Aquila2 trust report](/tools/flagai-open-aquila2/trust); [Chinese-LLaMA-Alpaca-2 trust report](/tools/ymcui-chinese-llama-alpaca-2/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/_