--- title: "Qwen vs Chinese-LLaMA-Alpaca" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/qwenlm-qwen-vs-ymcui-chinese-llama-alpaca" tools: ["qwenlm-qwen", "ymcui-chinese-llama-alpaca"] --- # Qwen vs Chinese-LLaMA-Alpaca Neutral, constraint-first comparison with live GitHub stats. | | [Qwen](/tools/qwenlm-qwen.md) | [Chinese-LLaMA-Alpaca](/tools/ymcui-chinese-llama-alpaca.md) | | --- | --- | --- | | Tagline | Official repo for Qwen, a Chinese large language model by Alibaba Cloud | Chinese LLaMA & Alpaca LLMs | | Stars | 21,404 | 18,942 | | Forks | 1,849 | 1,851 | | Open issues | 42 | 5 | | Language | Python | Python | | Adopt for | Qwen is a Chinese large language model developed by Alibaba Cloud, designed to support various formats and optimizations for natural language processing tasks. Though its official repository suggests it's no longer under | 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。 | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Model Training, LLM Frameworks | Model Training, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Qwen](/tools/qwenlm-qwen.md) | [Chinese-LLaMA-Alpaca](/tools/ymcui-chinese-llama-alpaca.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 125d | 80d | | Open issues (now) | 42 | 5 | | Owner type | Organization | User | | Security scan | 44 low (44 low) | 73 low (73 low) | | Full report | [trust report](/tools/qwenlm-qwen/trust.md) | [trust report](/tools/ymcui-chinese-llama-alpaca/trust.md) | **Typed relationship:** Qwen _(alternative)_ Chinese-LLaMA-Alpaca Qwen and Chinese-LLaMA-Alpaca are both large language models focusing on the Chinese language, solving similar problems with different approaches. ## Decision facts: Qwen - **Pricing:** unknown - Pricing information is not specified in the repository and depends on usage via Alibaba Cloud or APIs like HuggingFace which have their own pricing structures for model usage. - **Adopt for:** Qwen is a Chinese large language model developed by Alibaba Cloud, designed to support various formats and optimizations for natural language processing tasks. Though its official repository suggests it's no longer under ## 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。 ## Choose when ### Choose Qwen if… - Pricing: Pricing information is not specified in the repository and depends on usage via Alibaba Cloud or APIs like HuggingFace which have their own pricing structures for model usage.. - Qwen and Chinese-LLaMA-Alpaca are both large language models focusing on the Chinese language, solving similar problems with different approaches. - Tags unique to Qwen: pretrained-models, large-language-models, natural-language-processing, flash-attention. - When focusing on applications that cater primarily to the Chinese-speaking audience as Qwen is specifically optimized for the Chinese language. ### Choose Chinese-LLaMA-Alpaca if… - Qwen and Chinese-LLaMA-Alpaca are both large language models focusing on the Chinese language, solving similar problems with different approaches. - Tags unique to Chinese-LLaMA-Alpaca: llama, lora, nlp, alpaca. - 需要使用大规模的预训练模型进行中文NLP任务时； ## When NOT to use Qwen - For projects requiring ongoing maintenance support as the repository notes a move towards Qwen2, suggesting current versions have ceased active development. - In scenarios where absolute state-of-the-art performance and recent updates for all languages are critical, due to its focus on Chinese language applications and stated obsolescence. ## 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。 ## Common questions ### What is the difference between Qwen and Chinese-LLaMA-Alpaca? Qwen: Official repo for Qwen, a Chinese large language model by Alibaba Cloud. Chinese-LLaMA-Alpaca: Chinese LLaMA & Alpaca LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose Qwen over Chinese-LLaMA-Alpaca? Choose Qwen over Chinese-LLaMA-Alpaca when Pricing: Pricing information is not specified in the repository and depends on usage via Alibaba Cloud or APIs like HuggingFace which have their own pricing structures for model usage.; Qwen and Chinese-LLaMA-Alpaca are both large language models focusing on the Chinese language, solving similar problems with different approaches; Tags unique to Qwen: pretrained-models, large-language-models, natural-language-processing, flash-attention; When focusing on applications that cater primarily to the Chinese-speaking audience as Qwen is specifically optimized for the Chinese language. ### When should I choose Chinese-LLaMA-Alpaca over Qwen? Choose Chinese-LLaMA-Alpaca over Qwen when Qwen and Chinese-LLaMA-Alpaca are both large language models focusing on the Chinese language, solving similar problems with different approaches; Tags unique to Chinese-LLaMA-Alpaca: llama, lora, nlp, alpaca; 需要使用大规模的预训练模型进行中文NLP任务时；. ### When should I avoid Qwen? For projects requiring ongoing maintenance support as the repository notes a move towards Qwen2, suggesting current versions have ceased active development. In scenarios where absolute state-of-the-art performance and recent updates for all languages are critical, due to its focus on Chinese language applications and stated obsolescence. ### 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。 ### Is Qwen or Chinese-LLaMA-Alpaca more popular on GitHub? Qwen has more GitHub stars (21,404 vs 18,942). Stars measure visibility, not whether either tool fits your constraints. ### Are Qwen and Chinese-LLaMA-Alpaca open source? Yes - both are open-source projects on GitHub (Qwen: Apache-2.0, Chinese-LLaMA-Alpaca: Apache-2.0). ### Where can I find alternatives to Qwen or Chinese-LLaMA-Alpaca? GraphCanon lists graph-backed alternatives at /tools/qwenlm-qwen/alternatives and /tools/ymcui-chinese-llama-alpaca/alternatives (/tools/qwenlm-qwen/alternatives.md, /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 /compare/qwenlm-qwen-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, Qwen or Chinese-LLaMA-Alpaca? Qwen: Slowing. Chinese-LLaMA-Alpaca: 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 Qwen and Chinese-LLaMA-Alpaca? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Qwen: /tools/qwenlm-qwen/trust; Chinese-LLaMA-Alpaca: /tools/ymcui-chinese-llama-alpaca/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=qwenlm-qwen`](/api/graphcanon/graph?tool=qwenlm-qwen) - 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/_