Comparison
Aquila2 vs Chinese-LLaMA-Alpaca-2
Verdict
Pick Aquila2 if official suite for Aquila2 series LLM by BAAI; pick Chinese-LLaMA-Alpaca-2 if chinese-LLaMA-Alpaca-2 provides Chinese versions of LLaMA-2 and Alpaca-2 large language models, including long context models up to 64K. It includes pretraining and instruction fine-tuning scripts, and supports various部署.
Markdown twin · Aquila2 alternatives · Chinese-LLaMA-Alpaca-2 alternatives
GraphCanon updated Sep 20, 2026
9views this month
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Trust & integrity
| Signal | Aquila2 | Chinese-LLaMA-Alpaca-2 |
|---|---|---|
| Maintenance | Dormant (708d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (152d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 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
- Aquila2
- Official repository for Aquila2 series large language models by BAAI
- Chinese-LLaMA-Alpaca-2
- Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models
Stars
- Aquila2
- 445
- Chinese-LLaMA-Alpaca-2
- 7.1k
Forks
- Aquila2
- 32
- Chinese-LLaMA-Alpaca-2
- 559
Open issues
- Aquila2
- 2
- Chinese-LLaMA-Alpaca-2
- 6
Language
- Aquila2
- Python
- Chinese-LLaMA-Alpaca-2
- Python
Adopt for
- Aquila2
- Official suite for Aquila2 series LLM by BAAI
- Chinese-LLaMA-Alpaca-2
- Chinese-LLaMA-Alpaca-2 provides Chinese versions of LLaMA-2 and Alpaca-2 large language models, including long context models up to 64K. It includes pretraining and instruction fine-tuning scripts, and supports various部署
Persona
- Aquila2
- -
- Chinese-LLaMA-Alpaca-2
- -
Runtime
- Aquila2
- -
- Chinese-LLaMA-Alpaca-2
- -
License
- Aquila2
- (unknown)
- Chinese-LLaMA-Alpaca-2
- Apache-2.0
Last pushed
- Aquila2
- Oct 11, 2024
- Chinese-LLaMA-Alpaca-2
- Apr 19, 2026
Categories
- Aquila2
- Inference & Serving, LLM Frameworks, Model Training
- Chinese-LLaMA-Alpaca-2
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- Aquila2
- Dormant (18%)
- Chinese-LLaMA-Alpaca-2
- Slowing (36%)
Days since push
- Aquila2
- 708d
- Chinese-LLaMA-Alpaca-2
- 152d
Open issues (now)
- Aquila2
- 2
- Chinese-LLaMA-Alpaca-2
- 6
Stars delta
- Aquila2
- -1 (30d)
- Chinese-LLaMA-Alpaca-2
- -6 (30d)
Owner type
- Aquila2
- Organization
- Chinese-LLaMA-Alpaca-2
- User
OSV dependency advisories
- Aquila2
- No lockfile (source not queried)
- Chinese-LLaMA-Alpaca-2
- Published findings
Full report
- Aquila2
- Trust report
- Chinese-LLaMA-Alpaca-2
- Trust report
Choose Aquila2 if…
- Tags unique to Aquila2: llm, llm-inference, llm-training.
- Need specialized support from Beijing Academy of Artificial Intelligence
- Leaner open-issue backlog (2).
When NOT to use Aquila2
- Require comprehensive API and documentation clarity
- Preferring open source licensing details
Choose Chinese-LLaMA-Alpaca-2 if…
- Tags unique to Chinese-LLaMA-Alpaca-2: 64k, alpaca, alpaca-2, flash-attention.
- When you need Chinese-specific large language models with long context capabilities up to 64K.
- More GitHub stars (7.1k vs 445) - visibility, not fit.
When NOT to use Chinese-LLaMA-Alpaca-2
- If you need models that support languages other than Chinese, as this repository focuses on Chinese models.
- If you require models with shorter context lengths than 4K, as the standard models support 4K and the long context models support 16K and 64K.
- If you are looking for models that do not include human preference alignment (RLHF), as this repository includes models that have been fine-tuned for this purpose.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FlagAI-Open/Aquila2) · observed Sep 20, 2026
- GitHub forks (FlagAI-Open/Aquila2) · observed Sep 20, 2026
- Last push (FlagAI-Open/Aquila2) · observed Oct 11, 2024
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ymcui/Chinese-LLaMA-Alpaca-2) · observed Sep 20, 2026
- GitHub forks (ymcui/Chinese-LLaMA-Alpaca-2) · observed Sep 20, 2026
- Last push (ymcui/Chinese-LLaMA-Alpaca-2) · observed Apr 19, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: Aquila2 445 · Chinese-LLaMA-Alpaca-2 7.1k (synced Sep 20, 2026).
Common questions
- What is the difference between Aquila2 and Chinese-LLaMA-Alpaca-2?
- Aquila2: Official repository for Aquila2 series large language models by BAAI. Chinese-LLaMA-Alpaca-2: Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models. See the comparison table for live GitHub stats and shared categories.
- When should I choose Aquila2 over Chinese-LLaMA-Alpaca-2?
- Choose Aquila2 over Chinese-LLaMA-Alpaca-2 when Tags unique to Aquila2: llm, llm-inference, llm-training; Need specialized support from Beijing Academy of Artificial Intelligence; Leaner open-issue backlog (2).
- When should I choose Chinese-LLaMA-Alpaca-2 over Aquila2?
- Choose Chinese-LLaMA-Alpaca-2 over Aquila2 when Tags unique to Chinese-LLaMA-Alpaca-2: 64k, alpaca, alpaca-2, flash-attention; When you need Chinese-specific large language models with long context capabilities up to 64K; More GitHub stars (7.1k vs 445) - visibility, not fit.
- When should I avoid Aquila2?
- Require comprehensive API and documentation clarity Preferring open source licensing details
- When should I avoid Chinese-LLaMA-Alpaca-2?
- If you need models that support languages other than Chinese, as this repository focuses on Chinese models. If you require models with shorter context lengths than 4K, as the standard models support 4K and the long context models support 16K and 64K. If you are looking for models that do not include human preference alignment (RLHF), as this repository includes models that have been fine-tuned for this purpose.
- Is Aquila2 or Chinese-LLaMA-Alpaca-2 more popular on GitHub?
- Chinese-LLaMA-Alpaca-2 has more GitHub stars (7,118 vs 445). Stars measure visibility, not whether either tool fits your constraints.
- Are Aquila2 and Chinese-LLaMA-Alpaca-2 open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Aquila2 or Chinese-LLaMA-Alpaca-2?
- GraphCanon lists graph-backed alternatives at Aquila2 alternatives and Chinese-LLaMA-Alpaca-2 alternatives (Aquila2 markdown twin, Chinese-LLaMA-Alpaca-2 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-2?
- Aquila2: Dormant. Chinese-LLaMA-Alpaca-2: 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-2?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Aquila2 trust report; Chinese-LLaMA-Alpaca-2 trust report.