Comparison
Video-LLaMA vs Chinese-LLaMA-Alpaca
Verdict
Pick Video-LLaMA if video-LLaMA is an audio-visual language model that enhances video and audio understanding capabilities for language models; pick Chinese-LLaMA-Alpaca if `Chinese-LLaMA-Alpaca` is a repository that includes Chinese versions of the LLaMA and Alpaca large language models, specifically designed with extended Chinese vocabulary and fine-tuned on Chinese instruction data for a.
Markdown twin · Video-LLaMA alternatives · Chinese-LLaMA-Alpaca alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | Video-LLaMA | Chinese-LLaMA-Alpaca |
|---|---|---|
| Maintenance | Dormant (804d since push) As of 1d · github_public_v1 | Slowing (119d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Personal account As of 2d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Video-LLaMA
- Instruction-tuned Audio-Visual Language Model for Video Understanding
- Chinese-LLaMA-Alpaca
- Chinese LLaMA & Alpaca Large Language Models for Local CPU/GPU Training and Deployment
Stars
- Video-LLaMA
- 3.1k
- Chinese-LLaMA-Alpaca
- 19k
Forks
- Video-LLaMA
- 287
- Chinese-LLaMA-Alpaca
- 1.8k
Open issues
- Video-LLaMA
- 69
- Chinese-LLaMA-Alpaca
- 6
Language
- Video-LLaMA
- Python
- Chinese-LLaMA-Alpaca
- Python
Adopt for
- Video-LLaMA
- Video-LLaMA is an audio-visual language model that enhances video and audio understanding capabilities for language models.
- Chinese-LLaMA-Alpaca
- `Chinese-LLaMA-Alpaca` is a repository that includes Chinese versions of the LLaMA and Alpaca large language models, specifically designed with extended Chinese vocabulary and fine-tuned on Chinese instruction data for a
Persona
- Video-LLaMA
- -
- Chinese-LLaMA-Alpaca
- -
Runtime
- Video-LLaMA
- -
- Chinese-LLaMA-Alpaca
- -
License
- Video-LLaMA
- BSD-3-Clause
- Chinese-LLaMA-Alpaca
- The repository is licensed under Apache-2.0 which allows you to use the content openly in both commercial and non-commercial projects provided you adhere to the licensing terms.
Last pushed
- Video-LLaMA
- Jun 4, 2024
- Chinese-LLaMA-Alpaca
- Apr 19, 2026
Categories
- Video-LLaMA
- Computer Vision, Model Training
- Chinese-LLaMA-Alpaca
- LLM Frameworks, Model Training
Trust and health
Maintenance
- Video-LLaMA
- Dormant (18%)
- Chinese-LLaMA-Alpaca
- Slowing (36%)
Days since push
- Video-LLaMA
- 804d
- Chinese-LLaMA-Alpaca
- 119d
Open issues (now)
- Video-LLaMA
- 69
- Chinese-LLaMA-Alpaca
- 6
Stars delta
- Video-LLaMA
- +2 (30d)
- Chinese-LLaMA-Alpaca
- -9 (30d)
Open issues delta
- Video-LLaMA
- -1 (30d)
- Chinese-LLaMA-Alpaca
- 0 (30d)
Owner type
- Video-LLaMA
- Organization
- Chinese-LLaMA-Alpaca
- User
OSV dependency advisories
- Video-LLaMA
- No lockfile (source not queried)
- Chinese-LLaMA-Alpaca
- Published findings
Full report
- Video-LLaMA
- Trust report
- Chinese-LLaMA-Alpaca
- Trust report
Typed relationship
Choose Video-LLaMA if…
- License: Video-LLaMA is BSD-3-Clause, Chinese-LLaMA-Alpaca is Apache-2.0.
- Requirements: Ensure access to compatible hardware for video and audio processing tasks.; Consider the availability of Chinese text representation as a potential advantage or limitation based on your project needs..
- 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: blip2, cross-modal-pretraining, minigpt4, multi-modal-chatgpt.
- Also covers Computer Vision.
- When you need to process video content with instruction-tuned multimodal capabilities, especially when working with videos that require both visual and auditory analysis.
When NOT to use Video-LLaMA
- Do not use when the primary focus is on languages other than English and Chinese, as the model's representation capabilities outside these languages might be limited.
- Avoid using Video-LLaMA if you require real-time audio processing in a deployment environment that does not support Vicuna-7B audio branch currently running on A10-24G GPUs.
Choose Chinese-LLaMA-Alpaca if…
- License: Chinese-LLaMA-Alpaca is Apache-2.0, Video-LLaMA is BSD-3-Clause.
- Pricing: Access to `Chinese-LLaMA-Alpaca` models and documentation is free, but commercial usage should adhere to open-source licensing requirements..
- 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: alpaca, nlp, pre-trained-language-models.
- Also covers LLM Frameworks.
- You should consider using `Chinese-LLaMA-Alpaca` if your project involves local deployment and training using CPUs or GPUs, particularly if the focus is on Chinese language texts. These models are pre
When NOT to use Chinese-LLaMA-Alpaca
- `Chinese-LLaMA-Alpaca` might not be the best fit if your project requires extensive multi-language support beyond Chinese.
- If you are exclusively targeting markets where English is the primary language, and fine-tuning or additional pre-training on Chinese data does not add value to your application.
- Avoid using this tool if you require a model that has been extensively trained across global datasets for broad international comprehension, as `Chinese-LLaMA-Alpaca` is focused heavily on Chinese.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (DAMO-NLP-SG/Video-LLaMA) · observed Aug 18, 2026
- GitHub forks (DAMO-NLP-SG/Video-LLaMA) · observed Aug 18, 2026
- Last push (DAMO-NLP-SG/Video-LLaMA) · observed Jun 4, 2024
- License file (BSD-3-Clause) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ymcui/Chinese-LLaMA-Alpaca) · observed Aug 17, 2026
- GitHub forks (ymcui/Chinese-LLaMA-Alpaca) · observed Aug 17, 2026
- Last push (ymcui/Chinese-LLaMA-Alpaca) · observed Apr 19, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Video-LLaMA 3.1k · Chinese-LLaMA-Alpaca 19k (synced Aug 18, 2026).
Common questions
- What is the difference between Video-LLaMA and Chinese-LLaMA-Alpaca?
- Video-LLaMA: Instruction-tuned Audio-Visual Language Model for Video Understanding. Chinese-LLaMA-Alpaca: Chinese LLaMA & Alpaca Large Language Models for Local CPU/GPU Training and Deployment. 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; Requirements: Ensure access to compatible hardware for video and audio processing tasks.; Consider the availability of Chinese text representation as a potential advantage or limitation based on your project needs.; 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: blip2, cross-modal-pretraining, minigpt4, multi-modal-chatgpt; Also covers Computer Vision; When you need to process video content with instruction-tuned multimodal capabilities, especially when working with videos that require both visual and auditory analysis.
- 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; Pricing: Access to
Chinese-LLaMA-Alpacamodels and documentation is free, but commercial usage should adhere to open-source licensing requirements.; 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: alpaca, nlp, pre-trained-language-models; Also covers LLM Frameworks; You should consider usingChinese-LLaMA-Alpacaif your project involves local deployment and training using CPUs or GPUs, particularly if the focus is on Chinese language texts. These models are pre. - When should I avoid Video-LLaMA?
- Do not use when the primary focus is on languages other than English and Chinese, as the model's representation capabilities outside these languages might be limited. Avoid using Video-LLaMA if you require real-time audio processing in a deployment environment that does not support Vicuna-7B audio branch currently running on A10-24G GPUs.
- When should I avoid Chinese-LLaMA-Alpaca?
Chinese-LLaMA-Alpacamight not be the best fit if your project requires extensive multi-language support beyond Chinese. If you are exclusively targeting markets where English is the primary language, and fine-tuning or additional pre-training on Chinese data does not add value to your application. Avoid using this tool if you require a model that has been extensively trained across global datasets for broad international comprehension, asChinese-LLaMA-Alpacais focused heavily on Chinese.- Is Video-LLaMA or Chinese-LLaMA-Alpaca more popular on GitHub?
- Chinese-LLaMA-Alpaca has more GitHub stars (18,933 vs 3,141). 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 Video-LLaMA alternatives and Chinese-LLaMA-Alpaca alternatives (Video-LLaMA markdown twin, Chinese-LLaMA-Alpaca markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison 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: Slowing. 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 trust report; Chinese-LLaMA-Alpaca trust report.