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Home/Compare/Aquila2 vs Chinese-LLaMA-Alpaca

Comparison

Aquila2 vs Chinese-LLaMA-Alpaca

Verdict

Pick Aquila2 if official suite for Aquila2 series LLM by BAAI; 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 · Aquila2 alternatives · Chinese-LLaMA-Alpaca alternatives

GraphCanon updated 2d

Aquila2 logo

Aquila2

FlagAI-Open/Aquila2

★ 446pushed Oct 11, 2024
vs
Chinese-LLaMA-Alpaca logo

Chinese-LLaMA-Alpaca

ymcui/Chinese-LLaMA-Alpaca

★ 19kpushed Apr 19, 2026

Trust & integrity

SignalAquila2Chinese-LLaMA-Alpaca
Maintenance
Dormant (652d since push)
As of 3w · github_public_v1
Slowing (119d since push)
As of 2d · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · 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
Aquila2 trust reportChinese-LLaMA-Alpaca trust reportTrust methodology

Tagline

Aquila2
Official repository for Aquila2 series large language models by BAAI
Chinese-LLaMA-Alpaca
Chinese LLaMA & Alpaca Large Language Models for Local CPU/GPU Training and Deployment

Stars

Aquila2
446
Chinese-LLaMA-Alpaca
19k

Forks

Aquila2
32
Chinese-LLaMA-Alpaca
1.8k

Open issues

Aquila2
2
Chinese-LLaMA-Alpaca
6

Language

Aquila2
Python
Chinese-LLaMA-Alpaca
Python

Adopt for

Aquila2
Official suite for Aquila2 series LLM by BAAI
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

Aquila2
-
Chinese-LLaMA-Alpaca
-

Runtime

Aquila2
-
Chinese-LLaMA-Alpaca
-

License

Aquila2
(unknown)
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

Aquila2
Oct 11, 2024
Chinese-LLaMA-Alpaca
Apr 19, 2026

Categories

Aquila2
Inference & Serving, LLM Frameworks, Model Training
Chinese-LLaMA-Alpaca
LLM Frameworks, Model Training

Trust and health

Maintenance

Aquila2
Dormant (18%)
Chinese-LLaMA-Alpaca
Slowing (36%)

Days since push

Aquila2
652d
Chinese-LLaMA-Alpaca
119d

Open issues (now)

Aquila2
2
Chinese-LLaMA-Alpaca
6

Stars delta

Aquila2
Unknown
Chinese-LLaMA-Alpaca
-9 (30d)

Open issues delta

Aquila2
Unknown
Chinese-LLaMA-Alpaca
0 (30d)

Owner type

Aquila2
Organization
Chinese-LLaMA-Alpaca
User

OSV dependency advisories

Aquila2
No lockfile (source not queried)
Chinese-LLaMA-Alpaca
Published findings

Full report

Aquila2
Trust report
Chinese-LLaMA-Alpaca
Trust report

Choose Aquila2 if…

  • Tags unique to Aquila2: llm, llm-inference, llm-training.
  • Also covers Inference & Serving.
  • Need specialized support from Beijing Academy of Artificial Intelligence

When NOT to use Aquila2

  • Require comprehensive API and documentation clarity
  • Preferring open source licensing details
GitHubDetails

Choose Chinese-LLaMA-Alpaca if…

  • Pricing: Access to `Chinese-LLaMA-Alpaca` models and documentation is free, but commercial usage should adhere to open-source licensing requirements..
  • Tags unique to Chinese-LLaMA-Alpaca: alpaca, large language models, llama, nlp.
  • 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.
GitHubDetails

Explore

Aquila2 trust report →Chinese-LLaMA-Alpaca trust report →Inference & Serving category →LLM Frameworks category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: Aquila2 446 · Chinese-LLaMA-Alpaca 19k (synced Jul 26, 2026).

Common questions

What is the difference between Aquila2 and Chinese-LLaMA-Alpaca?
Aquila2: Official repository for Aquila2 series large language models by BAAI. 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 Aquila2 over Chinese-LLaMA-Alpaca?
Choose Aquila2 over Chinese-LLaMA-Alpaca when Tags unique to Aquila2: llm, llm-inference, llm-training; Also covers Inference & Serving; Need specialized support from Beijing Academy of Artificial Intelligence.
When should I choose Chinese-LLaMA-Alpaca over Aquila2?
Choose Chinese-LLaMA-Alpaca over Aquila2 when Pricing: Access to Chinese-LLaMA-Alpaca models and documentation is free, but commercial usage should adhere to open-source licensing requirements.; Tags unique to Chinese-LLaMA-Alpaca: alpaca, large language models, llama, nlp; 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 should I avoid Aquila2?
Require comprehensive API and documentation clarity Preferring open source licensing details
When should I avoid 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.
Is Aquila2 or Chinese-LLaMA-Alpaca more popular on GitHub?
Chinese-LLaMA-Alpaca has more GitHub stars (18,933 vs 446). Stars measure visibility, not whether either tool fits your constraints.
Are Aquila2 and Chinese-LLaMA-Alpaca open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to Aquila2 or Chinese-LLaMA-Alpaca?
GraphCanon lists graph-backed alternatives at Aquila2 alternatives and Chinese-LLaMA-Alpaca alternatives (Aquila2 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, Aquila2 or Chinese-LLaMA-Alpaca?
Aquila2: 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 Aquila2 and Chinese-LLaMA-Alpaca?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Aquila2 trust report; Chinese-LLaMA-Alpaca trust report.

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