--- title: "Chinese-LLaMA-Alpaca vs Chinese-LLaMA-Alpaca-2" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ymcui-chinese-llama-alpaca-vs-ymcui-chinese-llama-alpaca-2" tools: ["ymcui-chinese-llama-alpaca", "ymcui-chinese-llama-alpaca-2"] --- # Chinese-LLaMA-Alpaca vs Chinese-LLaMA-Alpaca-2 Neutral, constraint-first comparison with live GitHub stats. | | [Chinese-LLaMA-Alpaca](/tools/ymcui-chinese-llama-alpaca.md) | [Chinese-LLaMA-Alpaca-2](/tools/ymcui-chinese-llama-alpaca-2.md) | | --- | --- | --- | | Tagline | Chinese LLaMA & Alpaca LLMs | 中文LLaMA-2 & Alpaca-2 LLMs with 64K long context models | | Stars | 18,942 | 7,132 | | Forks | 1,851 | 564 | | Open issues | 5 | 6 | | Language | Python | Python | | Adopt for | Chinese-LLaMA-Alpaca 大语言模型针对中文进行了优化，提供本地CPU/GPU训练和部署能力。 | 中文LLaMA-2 & Alpaca-2 LLMs with 64K long context models, a project that enhances the original LLaMA-2's vocabulary for Chinese and provides extensive training scripts. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | The tool has an Apache-2.0 license which allows use in both commercial and open-source projects while requiring to provide attribution. | | Categories | Model Training, LLM Frameworks | Model Training, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Chinese-LLaMA-Alpaca](/tools/ymcui-chinese-llama-alpaca.md) | [Chinese-LLaMA-Alpaca-2](/tools/ymcui-chinese-llama-alpaca-2.md) | | --- | --- | --- | | Days since push | 80d | 81d | | Open issues (now) | 5 | 6 | | Full report | [trust report](/tools/ymcui-chinese-llama-alpaca/trust.md) | [trust report](/tools/ymcui-chinese-llama-alpaca-2/trust.md) | **Typed relationship:** Chinese-LLaMA-Alpaca _(successor)_ Chinese-LLaMA-Alpaca-2 Chinese-LLaMA-Alpaca is a newer evolution of Chinese-LLaMA-Alpaca-2, focusing on improvements in model performance and capabilities. Recommended - Newer version with enhanced features for the same use-case. ## Shared compatibility - **LangChain**: [Chinese-LLaMA-Alpaca](/tools/ymcui-chinese-llama-alpaca.md) - LangChain integration; [Chinese-LLaMA-Alpaca-2](/tools/ymcui-chinese-llama-alpaca-2.md) - LangChain integration ## Decision facts: Chinese-LLaMA-Alpaca - **Adopt for:** Chinese-LLaMA-Alpaca 大语言模型针对中文进行了优化，提供本地CPU/GPU训练和部署能力。 ## Decision facts: Chinese-LLaMA-Alpaca-2 - **Pricing:** freemium - Open source with optional premium support, provided under the terms of the Apache-2.0 license. - **Requirements:** Min 16 GB RAM; Supports personal computers' CPU/GPU for quick quantization and local model deployment experience. - **Adopt for:** 中文LLaMA-2 & Alpaca-2 LLMs with 64K long context models, a project that enhances the original LLaMA-2's vocabulary for Chinese and provides extensive training scripts. - **License detail:** The tool has an Apache-2.0 license which allows use in both commercial and open-source projects while requiring to provide attribution. ## Choose when ### Choose Chinese-LLaMA-Alpaca if… - Chinese-LLaMA-Alpaca is a newer evolution of Chinese-LLaMA-Alpaca-2, focusing on improvements in model performance and capabilities. - Tags unique to Chinese-LLaMA-Alpaca: lora, llm, quantization, plm. - 需要使用大规模的预训练模型进行中文NLP任务时； ### Choose Chinese-LLaMA-Alpaca-2 if… - Pricing: Open source with optional premium support, provided under the terms of the Apache-2.0 license.. - Requirements: Min 16 GB RAM; Supports personal computers' CPU/GPU for quick quantization and local model deployment experience.. - Chinese-LLaMA-Alpaca is a newer evolution of Chinese-LLaMA-Alpaca-2, focusing on improvements in model performance and capabilities. - Tags unique to Chinese-LLaMA-Alpaca-2: 64k, rlhf, large-language-models, llama-2. - - If you are working primarily on projects that require significant handling of Chinese text or dialogue, as this model has specifically expanded and optimized Chinese vocabulary tables. ## When NOT to use Chinese-LLaMA-Alpaca - 处理非中文或多语言NLP任务的需求； - 在不考虑模型定制化和本地训练需求的情况下优先选择通用性更高的工具； - 不需要开源社区提供的额外扩展支持及生态联动时。 ## When NOT to use Chinese-LLaMA-Alpaca-2 - - For projects that do not heavily rely on handling the Chinese language as the enhancements to LLaMA-2 are specifically for Chinese text. - - If you require shorter context lengths or if heavy processing of non-Chinese content is the primary task, other models optimized for those conditions might be more suitable. ## Common questions ### What is the difference between Chinese-LLaMA-Alpaca and Chinese-LLaMA-Alpaca-2? Chinese-LLaMA-Alpaca: Chinese LLaMA & Alpaca LLMs. Chinese-LLaMA-Alpaca-2: 中文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 Chinese-LLaMA-Alpaca over Chinese-LLaMA-Alpaca-2? Choose Chinese-LLaMA-Alpaca over Chinese-LLaMA-Alpaca-2 when Chinese-LLaMA-Alpaca is a newer evolution of Chinese-LLaMA-Alpaca-2, focusing on improvements in model performance and capabilities; Tags unique to Chinese-LLaMA-Alpaca: lora, llm, quantization, plm; 需要使用大规模的预训练模型进行中文NLP任务时；. ### When should I choose Chinese-LLaMA-Alpaca-2 over Chinese-LLaMA-Alpaca? Choose Chinese-LLaMA-Alpaca-2 over Chinese-LLaMA-Alpaca when Pricing: Open source with optional premium support, provided under the terms of the Apache-2.0 license.; Requirements: Min 16 GB RAM; Supports personal computers' CPU/GPU for quick quantization and local model deployment experience.; Chinese-LLaMA-Alpaca is a newer evolution of Chinese-LLaMA-Alpaca-2, focusing on improvements in model performance and capabilities; Tags unique to Chinese-LLaMA-Alpaca-2: 64k, rlhf, large-language-models, llama-2; - If you are working primarily on projects that require significant handling of Chinese text or dialogue, as this model has specifically expanded and optimized Chinese vocabulary tables. ### When should I avoid Chinese-LLaMA-Alpaca? 处理非中文或多语言NLP任务的需求； 在不考虑模型定制化和本地训练需求的情况下优先选择通用性更高的工具； 不需要开源社区提供的额外扩展支持及生态联动时。 ### When should I avoid Chinese-LLaMA-Alpaca-2? - For projects that do not heavily rely on handling the Chinese language as the enhancements to LLaMA-2 are specifically for Chinese text. - If you require shorter context lengths or if heavy processing of non-Chinese content is the primary task, other models optimized for those conditions might be more suitable. ### Is Chinese-LLaMA-Alpaca or Chinese-LLaMA-Alpaca-2 more popular on GitHub? Chinese-LLaMA-Alpaca has more GitHub stars (18,942 vs 7,132). Stars measure visibility, not whether either tool fits your constraints. ### Are Chinese-LLaMA-Alpaca and Chinese-LLaMA-Alpaca-2 open source? Yes - both are open-source projects on GitHub (Chinese-LLaMA-Alpaca: Apache-2.0, Chinese-LLaMA-Alpaca-2: Apache-2.0). ### Where can I find alternatives to Chinese-LLaMA-Alpaca or Chinese-LLaMA-Alpaca-2? GraphCanon lists graph-backed alternatives at /tools/ymcui-chinese-llama-alpaca/alternatives and /tools/ymcui-chinese-llama-alpaca-2/alternatives (/tools/ymcui-chinese-llama-alpaca/alternatives.md, /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 /compare/ymcui-chinese-llama-alpaca-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, Chinese-LLaMA-Alpaca or Chinese-LLaMA-Alpaca-2? Chinese-LLaMA-Alpaca: Steady. Chinese-LLaMA-Alpaca-2: Steady. 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 Chinese-LLaMA-Alpaca and Chinese-LLaMA-Alpaca-2? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Chinese-LLaMA-Alpaca: /tools/ymcui-chinese-llama-alpaca/trust; Chinese-LLaMA-Alpaca-2: /tools/ymcui-chinese-llama-alpaca-2/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ymcui-chinese-llama-alpaca`](/api/graphcanon/graph?tool=ymcui-chinese-llama-alpaca) - 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/_