Home/Compare/Video-LLaMA vs Chinese-LLaMA-Alpaca

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 offers Chinese versions of LLaMA and Alpaca models, with expanded Chinese vocabulary and pre-training on Chinese data, supporting local deployment on CPU/GPU.

Markdown twin · Video-LLaMA alternatives · Chinese-LLaMA-Alpaca alternatives

GraphCanon updated Sep 20, 2026

19views this month

Video-LLaMA logo

Video-LLaMA

DAMO-NLP-SG/Video-LLaMA

★ 3.1kpushed Jun 4, 2024
vs
Chinese-LLaMA-Alpaca logo

Chinese-LLaMA-Alpaca

ymcui/Chinese-LLaMA-Alpaca

★ 19kpushed Apr 19, 2026

Trust & integrity

SignalVideo-LLaMAChinese-LLaMA-Alpaca
Maintenance
Dormant (804d since push)
As of Aug 18, 2026 · github_public_v1
Slowing (152d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Aug 18, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
Published findings
As of Sep 18, 2026 · 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 LLMs

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
5

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 offers Chinese versions of LLaMA and Alpaca models, with expanded Chinese vocabulary and pre-training on Chinese data, supporting local deployment on CPU/GPU.

Persona

Video-LLaMA
-
Chinese-LLaMA-Alpaca
-

Runtime

Video-LLaMA
-
Chinese-LLaMA-Alpaca
-

License

Video-LLaMA
BSD-3-Clause
Chinese-LLaMA-Alpaca
The tool is licensed under Apache-2.0, allowing for free use, modification, and distribution.

Last pushed

Video-LLaMA
Jun 4, 2024
Chinese-LLaMA-Alpaca
Apr 19, 2026

Categories

Video-LLaMA
Computer Vision, Model Training
Chinese-LLaMA-Alpaca
Inference & Serving, 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
152d

Open issues (now)

Video-LLaMA
69
Chinese-LLaMA-Alpaca
5

Stars delta

Video-LLaMA
+2 (30d)
Chinese-LLaMA-Alpaca
+10 (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

Video-LLaMA alternative Chinese-LLaMA-AlpacaChinese-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.

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, large-language-models, minigpt4.
  • 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: The repository provides free access to the models and scripts, but users may incur costs related to hardware and cloud services for deployment..
  • Requirements: Min 8 GB RAM; Requires Python environment.; Supports deployment on local CPU/GPU..
  • 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, llm, lora, nlp.
  • Also covers Inference & Serving, LLM Frameworks.
  • When you need Chinese-specific large language models for tasks that require deep understanding of the Chinese language.

When NOT to use Chinese-LLaMA-Alpaca

  • If your project requires models that are not specific to the Chinese language or do not benefit from Chinese-specific pre-training.
  • When you need models that are not available in the sizes provided by Chinese-LLaMA-Alpaca, such as models smaller than 7B or larger than 33B.
  • If you prefer models that are not based on LLaMA or Alpaca architectures.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Video-LLaMA 3.1k · Chinese-LLaMA-Alpaca 19k (synced Sep 20, 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 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; 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, large-language-models, minigpt4; 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: The repository provides free access to the models and scripts, but users may incur costs related to hardware and cloud services for deployment.; Requirements: Min 8 GB RAM; Requires Python environment.; Supports deployment on local CPU/GPU.; 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, llm, lora, nlp; Also covers Inference & Serving, LLM Frameworks; When you need Chinese-specific large language models for tasks that require deep understanding of the Chinese language.
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?
If your project requires models that are not specific to the Chinese language or do not benefit from Chinese-specific pre-training. When you need models that are not available in the sizes provided by Chinese-LLaMA-Alpaca, such as models smaller than 7B or larger than 33B. If you prefer models that are not based on LLaMA or Alpaca architectures.
Is Video-LLaMA or Chinese-LLaMA-Alpaca more popular on GitHub?
Chinese-LLaMA-Alpaca has more GitHub stars (18,943 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.

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