---
title: "Llama-Chinese vs Chinese-LLaMA-Alpaca"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/llamachinese-llama-chinese-vs-ymcui-chinese-llama-alpaca"
tools: ["llamachinese-llama-chinese", "ymcui-chinese-llama-alpaca"]
---

# Llama-Chinese vs Chinese-LLaMA-Alpaca

Neutral, constraint-first comparison with live GitHub stats.

| | [Llama-Chinese](/tools/llamachinese-llama-chinese.md) | [Chinese-LLaMA-Alpaca](/tools/ymcui-chinese-llama-alpaca.md) |
| --- | --- | --- |
| Tagline | Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态。 | Chinese LLaMA & Alpaca LLMs |
| Stars | 14,737 | 18,942 |
| Forks | 1,300 | 1,851 |
| Open issues | 195 | 5 |
| Language | Python | Python |
| Adopt for | Llama-Chinese是一个专注于LLama系列语言模型的中国开发者社区，提供多种官方及微调版本的模型资源、环境准备教程与部署加速工具等。 | 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 |
| Categories | Data & Retrieval, Model Training, LLM Frameworks, Developer Tools | Model Training, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [Llama-Chinese](/tools/llamachinese-llama-chinese.md) | [Chinese-LLaMA-Alpaca](/tools/ymcui-chinese-llama-alpaca.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Steady (60%) |
| Days since push | 457d | 80d |
| Open issues (now) | 195 | 5 |
| Owner type | Organization | User |
| Security scan | 69 low (69 low) | 73 low (73 low) |
| Full report | [trust report](/tools/llamachinese-llama-chinese/trust.md) | [trust report](/tools/ymcui-chinese-llama-alpaca/trust.md) |

**Typed relationship:** Llama-Chinese _(alternative)_ Chinese-LLaMA-Alpaca

Llama-Chinese 和 Chinese-LLaMA-Alpaca 都提供了中文环境下的 LLaMA 模型，包括预训练模型和相关的支持资源。二者在解决类似需求方面是替代关系。

## Shared compatibility

- **LangChain**: [Llama-Chinese](/tools/llamachinese-llama-chinese.md) - LangChain integration; [Chinese-LLaMA-Alpaca](/tools/ymcui-chinese-llama-alpaca.md) - LangChain integration

## Decision facts: Llama-Chinese

- **Adopt for:** Llama-Chinese是一个专注于LLama系列语言模型的中国开发者社区，提供多种官方及微调版本的模型资源、环境准备教程与部署加速工具等。

## 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 Llama-Chinese if…

- Llama-Chinese 和 Chinese-LLaMA-Alpaca 都提供了中文环境下的 LLaMA 模型，包括预训练模型和相关的支持资源。二者在解决类似需求方面是替代关系。
- Also covers Data & Retrieval, Developer Tools.
- - 当需要访问专门为中文优化过的LLaMA系列模型时

### Choose Chinese-LLaMA-Alpaca if…

- Llama-Chinese 和 Chinese-LLaMA-Alpaca 都提供了中文环境下的 LLaMA 模型，包括预训练模型和相关的支持资源。二者在解决类似需求方面是替代关系。
- Tags unique to Chinese-LLaMA-Alpaca: lora, llm, 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 Llama-Chinese

- - 如果只需要英文版的文档或完全不涉及中文字语料的数据集处理工具
- - 对于寻求跨语言支持，不仅仅是中文的LLaMA系列模型社区用户来说，可能需要更多全球化的资源与平台。

## 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 Llama-Chinese and Chinese-LLaMA-Alpaca?

Llama-Chinese: Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态。. Chinese-LLaMA-Alpaca: Chinese LLaMA & Alpaca LLMs. See the comparison table for live GitHub stats and shared categories.

### When should I choose Llama-Chinese over Chinese-LLaMA-Alpaca?

Choose Llama-Chinese over Chinese-LLaMA-Alpaca when Llama-Chinese 和 Chinese-LLaMA-Alpaca 都提供了中文环境下的 LLaMA 模型，包括预训练模型和相关的支持资源。二者在解决类似需求方面是替代关系。; Also covers Data & Retrieval, Developer Tools; - 当需要访问专门为中文优化过的LLaMA系列模型时.

### When should I choose Chinese-LLaMA-Alpaca over Llama-Chinese?

Choose Chinese-LLaMA-Alpaca over Llama-Chinese when Llama-Chinese 和 Chinese-LLaMA-Alpaca 都提供了中文环境下的 LLaMA 模型，包括预训练模型和相关的支持资源。二者在解决类似需求方面是替代关系。; Tags unique to Chinese-LLaMA-Alpaca: lora, llm, 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 Llama-Chinese?

- 如果只需要英文版的文档或完全不涉及中文字语料的数据集处理工具 - 对于寻求跨语言支持，不仅仅是中文的LLaMA系列模型社区用户来说，可能需要更多全球化的资源与平台。

### 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 Llama-Chinese or Chinese-LLaMA-Alpaca more popular on GitHub?

Chinese-LLaMA-Alpaca has more GitHub stars (18,942 vs 14,737). Stars measure visibility, not whether either tool fits your constraints.

### Are Llama-Chinese and Chinese-LLaMA-Alpaca open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to Llama-Chinese or Chinese-LLaMA-Alpaca?

GraphCanon lists graph-backed alternatives at /tools/llamachinese-llama-chinese/alternatives and /tools/ymcui-chinese-llama-alpaca/alternatives (/tools/llamachinese-llama-chinese/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/llamachinese-llama-chinese-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, Llama-Chinese or Chinese-LLaMA-Alpaca?

Llama-Chinese: Dormant. 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 Llama-Chinese and Chinese-LLaMA-Alpaca?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Llama-Chinese: /tools/llamachinese-llama-chinese/trust; Chinese-LLaMA-Alpaca: /tools/ymcui-chinese-llama-alpaca/trust.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=llamachinese-llama-chinese`](/api/graphcanon/graph?tool=llamachinese-llama-chinese)
- 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/_