--- title: "Video-LLaMA vs Chinese-LLaMA-Alpaca" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/damo-nlp-sg-video-llama-vs-ymcui-chinese-llama-alpaca" tools: ["damo-nlp-sg-video-llama", "ymcui-chinese-llama-alpaca"] --- # Video-LLaMA vs Chinese-LLaMA-Alpaca Neutral, constraint-first comparison with live GitHub stats. | | [Video-LLaMA](/tools/damo-nlp-sg-video-llama.md) | [Chinese-LLaMA-Alpaca](/tools/ymcui-chinese-llama-alpaca.md) | | --- | --- | --- | | Tagline | Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding | Chinese LLaMA & Alpaca LLMs | | Stars | 3,142 | 18,942 | | Forks | 286 | 1,851 | | Open issues | 69 | 5 | | Language | Python | Python | | Adopt for | Video-LLaMA is an instruction-tuned model for understanding videos using audio-visual information, available in Python with the BSD-3-Clause license. It specializes in integrating video and audio into large language-mods | 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 | BSD-3-Clause | Apache-2.0 | | Categories | Model Training, Computer Vision | Model Training, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Video-LLaMA](/tools/damo-nlp-sg-video-llama.md) | [Chinese-LLaMA-Alpaca](/tools/ymcui-chinese-llama-alpaca.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 765d | 80d | | Open issues (now) | 69 | 5 | | Owner type | Organization | User | | Security scan | No lockfile | 73 low (73 low) | | Full report | [trust report](/tools/damo-nlp-sg-video-llama/trust.md) | [trust report](/tools/ymcui-chinese-llama-alpaca/trust.md) | **Typed relationship:** Video-LLaMA _(alternative)_ Chinese-LLaMA-Alpaca Chinese-LLaMA-Alpaca offers Chinese large language models, an alternative to Video-LLaMA in the context of developing instruction-tuned AI for different languages and tasks. ## Decision facts: Video-LLaMA - **Adopt for:** Video-LLaMA is an instruction-tuned model for understanding videos using audio-visual information, available in Python with the BSD-3-Clause license. It specializes in integrating video and audio into large language-mods ## 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 Video-LLaMA if… - License: Video-LLaMA is BSD-3-Clause, Chinese-LLaMA-Alpaca is Apache-2.0. - Chinese-LLaMA-Alpaca offers Chinese large language models, an alternative to Video-LLaMA in the context of developing instruction-tuned AI for different languages and tasks. - Tags unique to Video-LLaMA: video-language-pretraining, blip2, multi-modal-chatgpt, cross-modal-pretraining. - Also covers Computer Vision. - - You need a tool specifically designed to comprehend both the visual and audio elements of videos. ### Choose Chinese-LLaMA-Alpaca if… - License: Chinese-LLaMA-Alpaca is Apache-2.0, Video-LLaMA is BSD-3-Clause. - Chinese-LLaMA-Alpaca offers Chinese large language models, an alternative to Video-LLaMA in the context of developing instruction-tuned AI for different languages and tasks. - Tags unique to Chinese-LLaMA-Alpaca: lora, llm, nlp, alpaca. - Also covers LLM Frameworks. - 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 Video-LLaMA - - If real-time audio support is essential, as it currently only supports Vicuna-7B and there are known issues on specific hardware like A10-24G. - - The online interactive demo may not handle Chinese text well due to the limitations of Vicuna/LLaMA for non-English texts. - - When looking for a more straightforward setup or integration, as Video-LLaMA might still require additional configuration (especially if running on certain hardware). ## 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 Video-LLaMA and Chinese-LLaMA-Alpaca? Video-LLaMA: Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding. Chinese-LLaMA-Alpaca: Chinese LLaMA & Alpaca LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose Video-LLaMA over Chinese-LLaMA-Alpaca? Choose Video-LLaMA over Chinese-LLaMA-Alpaca when License: Video-LLaMA is BSD-3-Clause, Chinese-LLaMA-Alpaca is Apache-2.0; Chinese-LLaMA-Alpaca offers Chinese large language models, an alternative to Video-LLaMA in the context of developing instruction-tuned AI for different languages and tasks; Tags unique to Video-LLaMA: video-language-pretraining, blip2, multi-modal-chatgpt, cross-modal-pretraining; Also covers Computer Vision; - You need a tool specifically designed to comprehend both the visual and audio elements of videos. ### When should I choose Chinese-LLaMA-Alpaca over Video-LLaMA? Choose Chinese-LLaMA-Alpaca over Video-LLaMA when License: Chinese-LLaMA-Alpaca is Apache-2.0, Video-LLaMA is BSD-3-Clause; Chinese-LLaMA-Alpaca offers Chinese large language models, an alternative to Video-LLaMA in the context of developing instruction-tuned AI for different languages and tasks; Tags unique to Chinese-LLaMA-Alpaca: lora, llm, nlp, alpaca; Also covers LLM Frameworks; 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 Video-LLaMA? - If real-time audio support is essential, as it currently only supports Vicuna-7B and there are known issues on specific hardware like A10-24G. - The online interactive demo may not handle Chinese text well due to the limitations of Vicuna/LLaMA for non-English texts. - When looking for a more straightforward setup or integration, as Video-LLaMA might still require additional configuration (especially if running on certain hardware). ### 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 Video-LLaMA or Chinese-LLaMA-Alpaca more popular on GitHub? Chinese-LLaMA-Alpaca has more GitHub stars (18,942 vs 3,142). Stars measure visibility, not whether either tool fits your constraints. ### Are Video-LLaMA and Chinese-LLaMA-Alpaca open source? Yes - both are open-source projects on GitHub (Video-LLaMA: BSD-3-Clause, Chinese-LLaMA-Alpaca: Apache-2.0). ### Where can I find alternatives to Video-LLaMA or Chinese-LLaMA-Alpaca? GraphCanon lists graph-backed alternatives at /tools/damo-nlp-sg-video-llama/alternatives and /tools/ymcui-chinese-llama-alpaca/alternatives (/tools/damo-nlp-sg-video-llama/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/damo-nlp-sg-video-llama-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, Video-LLaMA or Chinese-LLaMA-Alpaca? Video-LLaMA: 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 Video-LLaMA and Chinese-LLaMA-Alpaca? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Video-LLaMA: /tools/damo-nlp-sg-video-llama/trust; Chinese-LLaMA-Alpaca: /tools/ymcui-chinese-llama-alpaca/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=damo-nlp-sg-video-llama`](/api/graphcanon/graph?tool=damo-nlp-sg-video-llama) - 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/_