LlamaFactory vs Chinese-LLaMA-Alpaca

Common questions

What is the difference between LlamaFactory and Chinese-LLaMA-Alpaca?

LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024). Chinese-LLaMA-Alpaca: Chinese LLaMA & Alpaca LLMs. See the comparison table for live GitHub stats and shared categories.

When should I choose LlamaFactory over Chinese-LLaMA-Alpaca?

Choose LlamaFactory over Chinese-LLaMA-Alpaca when Graph edge: LlamaFactory is a typed related of Chinese-LLaMA-Alpaca - see the relationship row above; Tags unique to LlamaFactory: fine-tuning, deepseek, ai, instruction-tuning; LlamaFactory is ideal when you need to fine-tune a wide variety of large language models (LLMs) and vision-language models (VLMs), with support for over 100 different models.

When should I choose Chinese-LLaMA-Alpaca over LlamaFactory?

Choose Chinese-LLaMA-Alpaca over LlamaFactory when Graph edge: Chinese-LLaMA-Alpaca is a typed related of LlamaFactory - see the relationship row above; 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 LlamaFactory?

LlamaFactory might not be the best choice if you're looking for real-time model deployment capabilities out-of-the-box without additional configurations or integrations beyond what it offers (e.g., in more real-time critical applications where direct deployment frameworks are preferred). If your project does not require extensive support from the community of LLaMA users and partners like Amazon, NVIDIA, or Aliyun, you may find other tools more suitable due to potentially fewer integr

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 LlamaFactory or Chinese-LLaMA-Alpaca more popular on GitHub?

LlamaFactory has more GitHub stars (73,068 vs 18,942). Stars measure visibility, not whether either tool fits your constraints.

Are LlamaFactory and Chinese-LLaMA-Alpaca open source?

Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, Chinese-LLaMA-Alpaca: Apache-2.0).

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

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

LlamaFactory: Very active. 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 LlamaFactory and Chinese-LLaMA-Alpaca?

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